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Hey all. Welcome to DEV and thank you for choosing this platform!!
As mention on my last week thread message and the week before that, I am waiting on introducing myself to the welcome thread (properly) @javz 3 more weeks till Welcome Thread v400!
In other case, what brings you on DEV? Any good projects you are working on?
Hello! I'm here to learn, share what I discover, and connect with fellow developers! Currently exploring new ideas and building projects to sharpen my skills. Looking forward to learning from the community and sharing my journey along the way!
Hi! I have exactly the project you're looking for to learn from basic to advanced levels, along with a helpful roadmap for beginners. I'll be publishing it right now—if you're interested, feel free to check out my profile.
hello
Hello
hello
Hi everyone!
Welcome to the dev.to-community!
I'm Martin, and I worked as a Senior Front-End Architect and Engineering Manager at some of the world's largest digital agencies, where I led front-end teams on international projects. After 15 years, I left.
Now I travel the world as a professional scuba diver and work as a contracted Tech Lead, Solution Architect, and technical Recruiter for international clients. Additionally, I write about technology on dev.to and Golem (German).
That is my advice for everyone. Jump right in. Start writing! Today! That's how I became a published author for No Stach Press and Packt Publishing - who knows what's waiting for you?
My latest book Claude Code Beyond the Prompt will be available in November. Over the next few weeks, I'll run a series on dev. to revealing the chapters one-by-one. Take a look :)
If I have enough time, I write more in-depth articles and thought pieces here on dev.to, for example: Toward Agent Native Development.
My first book, The Complete Developer, is an easy, hands-on introduction to building web applications with Next.js, MongoDB, and Mongoose. It is part of multiple university syllabi in the USA and India - you can get it from No Starch Press
I recommend following the general tags webdev, ai , career and productivity and javascript, react, CSS. Head over to your Dashboard and adjust the tag weight to personalize your home feed.
Here's a list of articles to start your journey as a successful developer and a great writer:
If you are looking for your next job, I highly recommend buying the Book De-Coding the Technical Interview Process by Emma Bostian. It is hands down the best preparation for every technical interview.
If you're interested in my articles, have questions, or want to get in touch, don't hesitate to contact me on dev.to/martinkr
And remember to start posting today!
Cheers!
Hey Martin! 👋
Transitioning from 15 years in agency leadership to balancing freelance tech lead work with professional scuba diving is such a cool journey. Talk about mastering work-life balance!
I really appreciate how consistently you encourage newcomers to start writing and sharing their journey early. With your experience mentoring and authoring The Complete Developer, what’s the single biggest barrier you see developers face when shifting from just consuming content to actually publishing their first post or open-source contribution?
Great having your perspective in the thread! 🚀
Thank you for asking. The biggest single barrier "is not doing it". You will only improve a skill by using it. Write a ticket, raise a PR, publish a Library - don't hesitate; do it. Do it yourself, not ask an LLM, and you will learn something every time.
Couldn't agree more, Martin. The friction of wrestling with an issue and figuring it out yourself is where the actual muscle memory gets built. Shortcuts just don't teach you how to think through the messy edge cases.
Really appreciate the grounded perspective and the push to just build!
Ola Martin!
Loving the work-life balance piece, it's great to see more and more of this, hallelujah!
I’m Cyrille 🇫🇷 a developer for 20 years, mostly RoR. Interested in our relationship to machines, the good and the bad 😊
I’m here to read, swap stories, and hear how others are handling these wild changes!
Hi
Hi everyone! I’m Yutaka Hirata, an independent app developer and technical author based in Japan. I currently develop Windows and Android apps and self-publish technical books on Kindle in Japanese and English. My introductory book on Linux device drivers has been selling quite well, which has been encouraging. My background is in low-level software, including device drivers and embedded systems.
These days, I’m especially focused on YuHex, a Windows hex editor I originally built as a hobby. I’ve just published my first DEV post about how it became a business project.
I’m looking forward to sharing what I learn and hearing about what you’re building. Nice to meet you all!
Hi Yutaka,
Welcome! Going from a hobby hex editor to a business project is a great story, and I’ll read your post. I work at the other end of the stack (web and AI backends), so low-level work like device drivers fascinates me. What was the hardest part of making that shift with YuHex?
Thank you for the warm welcome and your interest in YuHex!
My background is mainly in low-level software development, including device drivers, firmware, and BIOS. Developing a Windows desktop application has been a different kind of challenge, especially when it comes to UI design and usability.
But I think the hardest part was shifting my mindset from hobby development to running a business. As a hobbyist, I could work on whatever interested me, whenever I wanted. Now I have to think about users, ongoing maintenance, pricing, and how to keep the project sustainable.
It's a new experience for me, but I'm enjoying the challenge!
Welcome to DEV, Yutaka! 👋
It's fantastic to see experienced systems engineers bringing deep, low-level expertise to the platform. Writing technical books on Linux device drivers is no small feat, and turning a passion project like YuHex into a commercial product is a journey so many indie developers aspire to take.
When transitioning a hex editor from a personal hobby to a business tool, what turned out to be the biggest hurdle - handling large file memory mapping / binary rendering performance, or the shift toward packaging and licensing?
Thank you for the warm welcome and your kind words!
Both the technical and business sides have been challenging, but in different ways.
On the technical side, handling very large files has been an interesting challenge, especially working around the limitations of the Windows scrollbar.
YuHex follows a freemium model, offering both a free version and a paid version. However, I'm still not sure whether this was the right business model. Since YuHex is a Windows desktop application, I didn't want to include advertising.
On the business side, packaging and distributing YuHex through the Microsoft Store was a completely new experience for me. Pricing and finding a sustainable way to continue development have also been challenging.
But the biggest challenge has actually been multilingual support. If I'm going to develop software, I want to make it available globally, not just in Japan. Supporting different languages, including right-to-left languages, has turned out to be more complicated than I initially expected.
It's been a learning experience, both technically and as an independent developer!
The Windows scrollbar limitation is such a classic Win32 battle! Mapping multi-gigabyte 64-bit offsets to standard scrollbar ranges requires some seriously creative virtual scrolling math.
Also, hats off to you for tackling RTL support. Bidirectional text mixed with fixed-width hexadecimal offsets and raw ASCII/Unicode inspection buffers is notoriously tricky to render cleanly without breaking column alignments.
Avoiding ads was definitely the right call for an engineering utility like YuHex. Developers value lightweight, distraction-free tools, and freemium aligns much better with long-term trust.
Have you found the Microsoft Store helpful for organic discovery outside Japan, or are most users coming directly from your technical articles and book readership?
Hello and welcome to dev.to Community ! 👋🏼😉
Hi everyone! I'm Hamza. I've been building small web tools with Next.js, and lately I've been working with MediaPipe FaceMesh to measure facial proportions directly in the browser, without uploading the photo anywhere. Looking forward to learning from this community and sharing what I've figured out along the way.
Welcome to DEV, Hamza! 👋
Running MediaPipe FaceMesh purely client-side is a huge win for user privacy. People definitely appreciate biometric data staying on their own device.
How has the landmark detection performance held up across mobile browsers - did you run into any thermal throttling or frame-rate drops?
Thanks, John! Good question. In my case it turned out to be easier than I expected, because the tool works on a single photo rather than a live camera feed. It runs FaceLandmarker in IMAGE mode, detects once and stops, so there is no frame loop running long enough for thermal throttling or frame drops to show up.
The costs I did hit were elsewhere:
If I ever add live camera tracking, throttling would become a real concern, and I'd probably cap the frame rate and run detection on every other frame. Have you seen good results with that approach?
That lazy-loading setup with dynamic imports and the CPU fallback is really smart. Keeping the initial bundle lean and handling inconsistent mobile WebGL/GPU delegates via try/catch saves so many headaches.
Regarding live tracking: yes, running detection on every 2nd or 3rd frame (or capping inference at 10–15 FPS) is the standard and works extremely well. In practice, you can let the camera feed render smoothly at 60 FPS while decoupling the inference loop using
requestVideoFrameCallbackor anOffscreenCanvasinside a Web Worker. For facial proportion tracking, users won't notice the lower inference rate, but their phones will definitely thank you for avoiding thermal throttling.Really appreciate you sharing the breakdown of the real-world constraints. Great engineering decisions!
Thanks, John, that's really useful. Decoupling the camera render from the inference loop with requestVideoFrameCallback is exactly the piece I was missing, and moving detection into a Web Worker with OffscreenCanvas would keep the main thread free for the UI too.
For proportion measurements specifically, a lower inference rate might even help: averaging the landmarks over a few frames should smooth out the small jitter that a single frame has, which matters when you're measuring differences of a fraction of a percent. Something to try if I build a live mode. Appreciate you sharing this!
Hi everyone! 👋 I'm Vitalii, a Java developer from Ukraine.
I love new features and new trends. I learn something new, try it for real, and write about it here. Lately that means Java + AI (RAG, MCP, LangChain4j), PostgreSQL internals and modern JVM stuff ☕
When I'm not writing backend code, I make games 🎮
Happy to be here, and looking forward to reading your posts!
Welcome to DEV, Vitalii! 👋
Great to see more developers pushing the boundaries of the modern JVM and AI - the ecosystem around LangChain4j and MCP is evolving fast, and enterprise teams definitely need hands-on architectural patterns that go beyond quick Python prototypes.
How has your experience been integrating LangChain4j into production-grade pipelines, especially around connection pooling and memory overhead when managing RAG context?
Thanks! My RAG app is still a local project (Spring Boot, Ollama, pgvector), not production yet. So far, regular Postgres connection pooling works fine. To keep memory low, I limit chat history and the amount of retrieved text. Have you used LangChain4j in production?
Hi everyone! 👋
I'm Muzammil, founder of Tickin, which is HR, attendance, payroll, projects and productivity, all running inside Slack and Microsoft Teams. After years in dev and ops, I got tired of watching HR tools gather dust because nobody opened them, so I set out to build one that lives where teams already work, which is their chat.
Tickin covers the whole workday: clocking in, leave, payroll, project time tracking, productivity insights, and even built-in video meetings with Tickin Meet, all without leaving the chat your team already uses.
I'm here to share what I learn building a bootstrapped SaaS, like the two-platform Slack/Teams problem, zero-downtime deploys on a single server, multi-tenant headaches, and the occasional win. Just published my first post on why we put HR inside chat instead of building another app.
Fun fact: I went from writing backend code to writing cold-call scripts and SEO briefs this month. Founder life is a crash course in everything 😄
Looking forward to learning from this community!
Welcome to DEV, Muzammil! 👋
Solving the "HR tool graveyard" by embedding workflows directly where teams already spend their entire day is such a smart move - context switching is the real adoption killer.
Managing feature parity across both Slack and Microsoft Teams must be quite a technical challenge, especially juggling Block Kit vs. Adaptive Cards and differing platform rate limits. Are you abstracting the messaging UI into an internal schema, or maintaining separate rendering pipelines for each chat ecosystem?
Thanks! And you've pointed at exactly the call that shaped everything.
We went with one internal schema, not separate pipelines. The worry was that two pipelines drift the moment you ship to one platform first, and then Teams is always a few features behind Slack.
So the core logic (clock in, approve leave, overtime) doesn't know or care which platform it's on. Each one just has a thin adapter that turns our schema into Block Kit or Adaptive Cards, and handles its own inbound quirks.
Rate limits we solved with a per-platform queue, so a burst of posts to a big Slack workspace doesn't trip limits while Teams sits idle.
Honest downside: the two don't map 1:1 (modals, some inputs), so now and then a feature needs a platform-specific branch. Keeping that the exception has kept us sane.
What are you building?
Hey everyone!
I'm a .NET developer with over 10 years of experience, mostly working with enterprise applications and some pretty large legacy systems.
I've always enjoyed programming and trying to find better ways to solve problems. Recently I've been spending a lot of my time working on my own project called NSystem Intelligence, a tool I'm building to help developers analyze their .NET projects and find possible improvements.
I'm still working on it and learning a lot along the way.
I joined this community to share some of my work, learn from other developers and hopefully get some feedback on what I'm building.
Looking forward to chatting with you guys! 😁
Welcome to DEV, Sebastián! 👋
With over a decade navigating enterprise .NET and large legacy systems, you definitely know where the real architectural landmines hide.
A tailored tool like NSystem Intelligence sounds incredibly useful. Are you leveraging the Roslyn compiler platform under the hood for static code analysis, or focusing more on dependency graphs and architectural debt?
Hey, thanks for the welcome!
I'm actually doing both. I'm using Roslyn for static code analysis, things like code complexity, maintainability and detecting potential issues in the code.
But I'm also focusing quite a bit on architecture and dependencies, trying to identify things like circular dependencies, architectural violations and how the architecture changes over time.
The idea is not just to show metrics but to help developers understand what could be improved and why.
I've also added optional AI assistance to explain some of the findings and suggest possible improvements.
It's still a work in progress though, and I'm trying to get some feedback from other .NET developers to see how useful the analysis actually is on real projects.
Focusing on explaining why an issue matters rather than just dumping raw metric dashboards is a game-changer. Most static analysis tools fall out of favor because teams get alert fatigue from abstract complexity numbers without actionable context.
Tracking architectural drift and circular dependencies over time is huge, especially in evolving enterprise solutions where domain boundaries blur gradually across sprints. Using optional AI specifically to explain structural violations and suggest refactoring steps makes total sense here.
Hey everyone! I'm Ojaswin, a software engineer who enjoys building things, solving engineering problems, and exploring how technology works under the hood.
I'm particularly interested in AI engineering, LLM-powered applications, backend development, and distributed systems. I enjoy experimenting with new technologies, building practical projects, and learning by getting my hands dirty with code.
On DEV, I plan to share my learning journey, technical discoveries, project breakdowns, debugging experiences, and lessons from building real-world applications. I believe the best way to learn is to build, question, experiment, and share what you discover along the way.
I'm also looking forward to connecting with fellow developers, learning from the community, and contributing wherever I can.
🔗 GitHub: github.com/Ojaswin30
Looking forward to learning and building with you all. Let's connect!
Welcome to the DEV community, Ojaswin! 👋
The intersection of distributed systems and LLM engineering is such a fascinating space right now - especially when it comes to tackling latency, state management, and actual system reliability under load.
Your plan to share debugging stories and project breakdowns is spot on; some of the absolute best reads on DEV are candid post-mortems showing what broke, why it broke, and how you fixed it.
What kind of backend or AI architecture are you experimenting with at the moment?
Hi, I'm Alessio, software dev from Italy. Joined for the Hacktoberfest AI challenge and just wrote up a weekend project—built a small local receipt parser with Ollama to stop manually typing invoice data into spreadsheets: ledgerlocal
Welcome to DEV, Alessio! 👋
Always great to see folks building practical, offline-first tooling around local SLMs and Ollama rather than defaulting to cloud APIs.
What’s been your biggest takeaway so far regarding the latency vs. precision trade-off when running models directly on client hardware?
Looking forward to your posts around here! 🚀
Thanks! Honestly, 3B models like phi4-mini are plenty fast (2-3s per doc), but they get tripped up by layout quirks—like mistaking the customer for the vendor on Italian receipts.
Instead of moving to a heavier model that kills battery and takes 20s, I found it way better to stick with the small model and just patch the edge cases with regex and a quick edit UI. Fast SLM + deterministic code in front of it seems to be the sweet spot.
That hybrid approach is spot on and so underrated.
Pairing a lightweight SLM with deterministic post-processing and a quick UI beats throwing brute compute at the problem every time, especially on client hardware where thermal throttling and battery life actually dictate UX.
Getting 95% of the extraction done in 2 seconds with deterministic guardrails is the exact kind of pragmatic engineering more teams need to adopt. Would love to read a full case study or architectural breakdown on that if you end up writing one!
Hi everyone! I'm Bohdan from Lviv, Ukraine. I run OLBO, a small web studio, and Balabony, an accessible story platform for Ukrainian readers. I publish about website security and accessibility for small businesses — today: what we learned checking 71 clinic websites for email spoofing protection. Glad to be here!
Welcome to DEV, Bohdan! 👋
Combining web accessibility with practical security audits is such impactful work, especially checking email spoofing protections for clinics, where patient trust is critical.
Across those 71 websites, what was the most common gap you ran into - missing DMARC records entirely, or just misconfigured SPF alignments?
Thanks, John!
Missing DMARC entirely, by a wide margin. 56 of the 71 clinic domains (79%) had no DMARC record at all. The other 15 had p=none, so they only monitor. Not one was set to quarantine or reject.
SPF was in better shape: 56 had a record, 15 (21%) had none. To be honest, we didn't test SPF/DKIM alignment, only whether the records exist and what the DMARC policy is, so I can't say how many are misaligned.
We've since run the same check on 215 independent dental practices in London: 10% block spoofed email, 47% have no DMARC at all, 42% are on p=none. Better than Lviv, but the same pattern: the record is either missing or stuck on "monitor".
Those stats are wild, especially the comparison with London.
The "stuck on
p=none" trap is so real. Most small organizations set up monitoring, get overwhelmed by raw XML reports they don't have tools to parse, panic about accidentally dropping legitimate appointment or billing emails, and never make the leap top=quarantineorp=reject.Having real empirical data across nearly 300 clinical domains is absolute gold. If you haven't already, you should definitely turn these findings into a standalone post on DEV! Data-backed security breakdowns like this get huge engagement here!
Hello!, nice to meet you all.
I’m someone who loves learning new things, exploring new ideas and share useful information. My goal is to keep learning, gain knowledge and provide valuable information that help people understand something new because learning and sharing knowledge help us grow together.
Hi everyone!
I’m new here and wanted to drop in and introduce myself. I'm currently focusing my learning on Artificial Intelligence and Machine Learning. It’s a massive, exciting landscape, and I joined DEV because I've heard amazing things about how supportive this community is.
I'm mainly here to learn, connect with other developers, and soak up as much knowledge as I can. If anyone has favorite resources, roadmaps, or advice for navigating the AI/ML space, I’d love to hear them!
Excited to be here! 👋
Welcome to DEV, Emmanuel! 👋
The AI/ML landscape is massive, so the best way to avoid tutorial paralysis is to pick small, hands-on projects early and let practical problems dictate what theory you dig into next.
If you're looking for solid starting points:
Are you leaning more toward the foundational model training/data science side, or building applications on top of LLMs and embeddings?
Thanks for the warm welcome and the great recommendations, John!
Really appreciate the guidance!
Hi everyone, we're ContentRails. We build a writer that reads a company's site and docs, researches what its readers actually search for, and writes blog posts where every figure links to the page it came from.
We'll be posting what we learn about SEO, AI search and keeping a company blog going without it turning into filler. Happy to answer questions on any of that, and glad to be here.
Welcome to DEV, ContentRails! 👋
Grounding every figure with direct citations back to the source is so refreshing. Way too much AI-generated technical content devolves into unsubstantiated filler.
With the rise of AI answer engines, are you seeing teams shift their focus toward optimizing for direct LLM citations rather than traditional keyword ranking?
Thanks, happy to be here!
Honestly its not one or the other. AI answers mostly pick pages that already rank well, so the basics are same. But they quote single sentences, so a vague "studies show" with no link just gets skipped. A real number with a source is what gets picked.
Hi everyone! 👋 I'm Mejzun, a solo dev from Poland. I'm building NXTO, a game backlog tracker, because I own games on several platforms and Steam's recommendations couldn't see what I'd played elsewhere. So I built my own: Vue 3 + Express + SQLite, with a tag-based recommender on top.
Here to learn from other builders and share what I figure out along the way. Fun fact: my backlog is longer than the time I have left to play it. 😅
What are you all building or learning right now?
Hi everyone! 👋
Let me introduce myself. In my day job, I’m the CEO of a company running real-estate management and house-cleaning operations. I don't write code full-time, and I certainly don't have endless hours to spare.
But I am deeply obsessed with one question: What happens when a traditional business owner teams up with AI agents to build and launch software from absolute scratch (zero followers, zero audience)?
To test this, I set up a 90-day revenue experiment aiming for $20,000, running an "AI Agent Factory" where my AI co-pilots and I rapidly ship micro-tools.
Meet the team:
🧬 Gemini (Let's call him "Jin"): My architectural and security-focused co-pilot. He builds bulletproof, 100% client-side privacy tools.
⚡ ChatGPT (Let's call her "Tia"): My product-strategy and pain-point hunter. She tracks down hidden consumer frustrations and designs the next wave of solutions.
🛠️ Product #1 (Built by Jin & Me): MaskFlow AI
Because I handle sensitive client data, I needed a tool that didn't leak secrets. Jin and I built MaskFlow AI — a 100% client-side PII and secret sanitizer for LLM users (ChatGPT, Claude, etc.). It runs entirely in your browser (no servers, zero data sent) with 1-click unmasking for AI replies.
🌐 Try it live: MaskFlow AI (English)
📦 Pro Version (CLI, regex presets): Gumroad
🔍 Product #2 in the Pipeline (Led by Tia)
Tia noticed a massive pain point in the market: cloud photo migrations (e.g., missing thousands of photos, invisible double-billing, and unverified transfers). She is currently designing a tool to visualize photo migration gaps and discrepancies without exposing private image data to external servers.
Why am I sharing this?
I'll be documenting the entire journey — the wins, the failures, the stats, and how a busy CEO can leverage AI agents to build software products on the side under the #BuildInPublic banner.
If you're a builder, a founder, or just curious about what's possible with AI-driven solo businesses, I'd love to connect. Let's see how far we can go! 🚀
Welcome to DEV, mint69! 👋
Running an operations/real-estate business while executing a 90-day solo software sprint with an "AI Agent Factory" is an ambitious experiment. Assigning dedicated roles to models like architectural guardrails to Gemini and product research to ChatGPT - is a really smart, disciplined way to build without context sprawl.
MaskFlow AI tackles a critical enterprise problem. Zero-trust, 100% client-side sanitization is essentially the only way non-technical teams handling sensitive data can safely interact with public LLMs. For the 1-click unmasking, how do you reliably map the sanitized placeholders back when the LLM mutates or reorders them in its response?
Hey everyone, I'm Bohdan.
I'm deep into technical SEO, AI automation workflows (custom pipelines), and building tools to adapt to AI Overviews shifts. Always up for a chat about technical growth, LLM experiments, or search intent.
Glad to join the community!
Hey everyone! 👋
I'm a Computer Science Engineering student passionate about web development, problem-solving, and building projects that solve real-world problems. 💻
Currently, I'm learning Full Stack Development while practicing DSA with C++. I'm also exploring open-source contributions and working on improving my development skills through hands-on projects.
I joined DEV.to to connect with fellow developers, learn from the community, share my journey, and grow together. Looking forward to learning from all of you! 🚀
Feel free to say hi! 😊
Hey everyone!
I’m Hannah, and I’m excited to be part of this dev community. I’m interested in technology, digital tools, and learning how different things work behind the scenes. I joined this community to explore new ideas, learn from experienced developers, and stay updated with the latest tech trends.
I’m looking forward to connecting with everyone, sharing knowledge, and learning something new along the way. Happy to be here!
Hi everyone! I'm Tamaz.
PhD in theoretical physics. Now I'm building Entalpa with a small team: a spec layer for AI coding agents.
What brought me here: I talk to a lot of founders and engineers who build with Claude Code and Cursor. The same story comes up again and again. The code is fine. What gets lost is why it was built that way.
I'm here to read how people deal with this, and to share what we measure.
Question for anyone building with agents: where do your decisions live after a month? Chat history, a CLAUDE.md, tickets, or your head?
Hi everyone! I'm Sajeev. I run ExamCrest, where I write exam guides and practice tests for cloud and IT certifications (AWS, Azure, ServiceNow, Databricks and a few more). I'll be sharing exam guides and study tips here. Anyone preparing for a cert right now? Which one?
Hey everyone!
I'm Abdullah, a developer based in the UAE.
I mainly work with Zoho, building CRM solutions, automations, and API integrations. Lately, I've been trying to expand my skills in JavaScript and backend development.
I joined DEV to learn from other developers, share what I pick up along the way, and hopefully help others whenever I can.
Looking forward to connecting with you all!
Hello everyone! I'm Rajeev, founder of ZikCards, a small fintech that issues US virtual Visa and Mastercard cards for paying ads, AI tools and SaaS online.
Most of my days go into payments plumbing: card BINs, 3D Secure, checkout declines, and stablecoin deposits on TRON, BNB Smart Chain and Solana. I'm here to share what I learn the hard way, like why a valid card still gets declined, or how to validate a USDT address before sending.
Happy to help anyone building a checkout or dealing with payment errors. Looking forward to learning from all of you!
Hey everyone! 👋
We're new to the DEV Community!
We're the team behind CodShot, a workspace designed to help developers save, organize, and reuse their code snippets.
We're here to connect with other developers, learn from the community, and get honest feedback on what we're building.
Happy to be here! 🚀
Welcome to DEV, team CodShot! 👋
Every developer has a messy graveyard of useful snippets scattered across gists, bookmarks, and random markdown files, so a streamlined workspace to actually organize and reuse them is always welcome.
Are you focusing primarily on a web workspace, or are you planning IDE integrations (like a VS Code extension or CLI) to keep snippets right inside the coding flow?
Thanks for the warm welcome, John! 👋
That's exactly the problem we're trying to solve!
CodShot started as a web-based workspace, but we already have a working VS Code extension as well! 🚀
We're continuously improving the platform and its integrations.
Out of curiosity, what features would you personally find most useful in a VS Code snippet manager?
Really appreciate your feedback!
Hey everyone! 👋 Excited to join the DEV community. I’m currently focused on sharpening my development skills, exploring modern tech stacks, and building practical projects. Looking forward to learning from everyone's posts, sharing what I build, and connecting with other developers here!
Welcome! 👋 Which stack are you exploring right now? Good luck with your projects, looking forward to seeing what you build!
Hi everyone, I'm Darius Tran, an AI Agent Strategist and Consultant at AI Hive, based in Hanoi.
I spend most of my time helping companies figure out where AI agents actually fit in their workflows, and where they don't. The gap between a good demo and a system that runs in production is where I find the most interesting problems.
I'm here to learn from developers who are building agents day to day, swap notes on what breaks in real deployments, and share what I see from the business side. Always happy to hear how you decide what's worth automating.
Looking forward to the conversations!
Welcome to DEV, Darius! 👋
That phrase "the gap between a good demo and a system that runs in production" hits the nail on the head. So many agentic prototypes look incredible in a 30-second screen recording, only to fall apart under real-world latency, state drift, and edge-case tool errors.
From your consulting work, what’s the number one pattern or unrealistic expectation companies have when trying to take an agentic workflow to production?
Really looking forward to seeing your breakdowns and business insights around here! 🚀
Hi everyone!
I’m Ali, a final-year CSE (AI) student from India, and a fresher looking to start my career as a Software engineer.
I work mostly with React, Next.js, Node.js and FastAPI, and I’ve been interning as an AI engineer for the past few months. On the AI side, I’ve built RAG pipelines (ChromaDB + BM25), multi-agent systems with LangGraph, and integrated LLMs like Gemini and Groq LLaMA into real products. My favorite win so far was cutting an API’s latency by 81% just by fixing an N+1 query problem.
I’m here to learn from people who build in production, share what I figure out along the way, and hopefully write my first post soon. If you’re working on anything with LLMs or backend performance or anything else, I’d love to hear about it.
What’s the most useful thing you learned?
Hey everyone, and a huge welcome to all the new faces joining DEV! 👋
I've been hanging around DEV and open-source spaces for a while now, and it's easily one of the most supportive developer communities out there.
With everything moving so fast right now - from agentic workflows and local AI tooling to modern full-stack performance, it's easy to feel overwhelmed. Don't worry about knowing it all; the best part of this platform is building in public, asking raw questions, and sharing your small wins.
To get the conversation started:
Drop a comment below with what you're building! I’d love to check them out and say hi! 🚀
Hey everyone! 👋😊
Happy to be here in the DEV Community! Looking forward to connecting with fellow developers, learning new things, sharing ideas, and being part of this amazing community. 🚀
Excited to see what everyone is building. Let’s learn and grow together! 💻✨
Hey everyone! 👋 I’m a CSE student and full-stack developer. I mostly build with TypeScript, Next.js, and React Native, but lately I’ve been diving into Docker, low-latency apps, and customizing my Linux workflow. Joined dev.to to share post-mortems of projects that broke and document the stuff textbooks skip. Fun fact: I spend half my coding time tweaking terminal configs and dotfiles instead of actually writing code. Excited to be here!
Hi everyone! 👋 I'm Krishnasai — a test automation architect (11+ years) just getting active on DEV.
What brought me here: I've started researching trust in AI-driven software testing — when we let AI write, heal, or judge our tests, how do we know we can believe a green result? I just published my first piece here (a Hacktoberfest entry where I measured how often a local LLM judge waves real bugs through — spoiler: more than I'd like).
What I'm learning right now: running open-weight models locally with Ollama, and how to measure calibration/trust honestly instead of hand-waving.
Fun fact: after a decade of chasing flaky tests, my hot take is that "it passed" is the most over-trusted sentence in software. 😄
Glad to be here — would love to connect with others working on testing, QA, or LLM evaluation.
Hi everyone! 👋 We're building AIrocards, virtual payment cards for AI agents with task-specific spending limits.
We're interested in how developers are handling payments, API credits, and subscriptions in agent workflows. Looking forward to learning from the community and sharing what we're building!
Hey everyone! 👋
I'm Nikhil Singh Bisht, an AI systems architect and fullstack engineer based in India.
🛠️ What I'm currently working on:
I'm deeply focused on autonomous multi-agent systems and cognitive architectures. Right now, I'm competing in Graph Hacks 2026 by FalkorDB & WeMakeDevs, where I built the FalkorDB Universal Memory Mesh—replacing flat JSON arrays and naive vector stores with high-performance GraphBLAS linear algebra graphs for multi-agent memory and coordination.
💡 Tech stack & interests:
Core: *Python, FastAPI, Docker, Vanilla CSS (obsidian glassmorphism enthusiast ✨)
**Databases & AI: **FalkorDB, Redis, Cypher graph query language, Model Context Protocol (MCP)
**Obsession: **Sub-5ms graph traversals, zero-secret security gates, and deterministic agent memory compaction.
*🤝 Why I'm here:
I'm excited to share deep-dive architectural breakdowns, learn from this incredible developer community, and connect with fellow builders pushing the boundaries of AI agents and graph databases.
Looking forward to connecting with all of you! Feel free to say hi or drop your thoughts on agent memory! 🚀
Hi everyone!
I'm Fola, and I'm the CEO of Tau.
We're developing an executable formal specification language with novel reasoning abilities called Tau Language.
I'm here to learn more about you folks that are building systems with formal methods and logical reasoning at the core.
Hello
I'm an industrial designer that has learned a bit about front end development. I would like ti dive deeper into the web development and the UX / UI design.
Pleas ignore my grammar mistakes, English is my second language.
I hope to be helpful.
Hi everyone! 👋 I'm Carlos, a developer from Spain. I build mobile games in my spare time, mostly with Flutter and Firebase. Lately I've been learning a lot about keeping backends cheap and scalable. Happy to be here and to learn from you all!
Hey everyone,
Finally getting around to creating an account here.
I’m Dmitrii, working on NovAsia where we’re building data tools and AI due diligence for real estate in Southeast Asia.
I’ve been reading DEV articles for a while now and always appreciated the practical, no-nonsense engineering discussions. Really looking forward to learning from the community here as we build out our stack, and hopefully sharing some useful takeaways along the way.
Glad to be here!
Hi everyone! 👋
I'm Tomohiro, founder of Netsujo, a software and AI company based in Kyoto, Japan.
I'm currently working on Agent Role Contracts (ARC), an open-source project focused on making AI agents more reliable through explicit task boundaries, responsibility checks, and verification.
I'm especially interested in the challenges of bringing AI agents into real-world production environments.
Looking forward to learning from this community and connecting with developers working on AI agents, open source, and practical AI applications.
What has been your biggest challenge when deploying AI agents in production?
Welcome!
Hi everyone, I'm Greg. I'm COO at Arbitration.Inc, where we've built arbitration as a REST API so software platforms can help their customers resolve unpaid balances and disputes online.
I'm not a developer by background (35 years in sales and partnerships), so I'm here to learn from people who build billing and collections features, and to get honest feedback on whether this is useful to them.
Happy to answer questions about how it works. What are you all building?
Hi everyone! 👋 Thanks for the welcome, Francis!
I’m from Malvern Brickwork LTD, a bricklaying and masonry company. Most of my days are spent on building sites, not in code editors, so I’m probably one of the few people here whose “deployments” involve mortar. 🧱
Hi everyone! 👋
I’m Gobala Krishnan, a Software Engineer from India. I work mainly with React, Java, Spring Boot, PostgreSQL, and AWS.
I’m interested in full-stack development, AI, and open-source contributions. I joined the DEV Community through Hacktoberfest to learn new technologies, build useful projects, contribute to open source, and connect with fellow developers.
Looking forward to learning and building together! 🚀
Happy coding! 💻
Hey everyone! I’m Tunç, co-founder of Arct Cloud (arct.cloud/). We run a VPS hosting platform and recently started sharing Linux, Docker and self-hosting guides here.
I’d love to hear what you’re hosting and how you handle deployment. Happy to share what we learn along the way!
Hello DEV community! 👋
I'm a fintech risk advisor specializing in payment continuity. I build open-source tools and write legal playbooks for high-risk merchants facing payment processor freezes (Stripe, PayPal, Shopify).
I joined DEV to share technical insights on payment architecture, PCI-DSS migrations, and legal escalation frameworks (UCC §4A-502).
Looking forward to connecting with fellow developers, SaaS founders, and anyone building in the fintech space! 🚀
Hi everyone! I'm Jian — a Java dev by background, currently building small browser tools as a solo dev.
I got here because I like turning one annoying task into a simple tool, and I'm spending most of my time learning product design, distribution, and how to keep costs low as an indie hacker.
Fun fact: I still debug faster with coffee than with console.log.
Looking forward to learning from this community.
Hey Dev.to! 👋
I'm Musadiq **— a **solo dev from Pakistan. I mostly build small tools
that solve my own problems, and my latest project is a set of 5 free
image utilities (bg remover, upscaler, compressor, converter, PDF maker)
built with Python + FastAPI and deployed on AWS EC2.
Currently learning: nginx internals, PWA caching strategies, and how
to make ML inference fit inside 1 GB of RAM.
Fun fact: I once lost RDP access to my own server 4 times in one day —
all because my ISP kept rotating my public IP.
Happy to be here. Looking forward to reading everyone's threads!
Hi everyone! 👋
I'm Jabed, a DevOps engineer. I build CI/CD pipelines with GitHub Actions and look after the Linux servers behind a bunch of production web apps. I also write the apps themselves, mostly in Laravel, React and Next.js, so I see both sides of every deploy.
I'm here to write about the practical stuff: deploy setups, server hardening, backups, and the lessons that usually only show up at 2 AM in production. Right now I'm learning Kubernetes and Terraform.
Happy to chat about GitHub Actions, Linux servers or deploying Laravel apps. Looking forward to reading and learning from all of you!
Hey DEV Community! 👋
I'm Redman — a full-stack developer & AI engineer based in Tuzla, Bosnia and Herzegovina.
I build autonomous agent systems, local LLM inference pipelines, and on-chain automation tools. Currently deep into AI agents that research, write, and earn across decentralized platforms.
Excited to connect, learn, and contribute here. Open source enthusiast always down to talk shop about Rust, Python, Solidity, or anything AI-related. 🚀
Hi everyone! 👋 I'm Karan, a data engineer based in the Greater Toronto Area, certified on both Azure and AWS. Most of my day goes into building and tuning data pipelines, and lately I've been thinking a lot about how to keep them reliable and affordable as they grow. I'm here to share what I learn along the way and to pick up ideas from folks working on data, cloud, and AI. Looking forward to connecting, and say hi if you're working in the data space too!
Hi everyone! I’m Yann. I’m building a small remote job board where every listing shows a salary. I’m not a programmer by training, so I learn most things by breaking them first. Lately that means Cloudflare limits, slow response times and a lot of Google Search Console. Looking forward to reading and learning from you all.
Hey everyone! 👋
I'm Guy, an indie dev building WordPress plugins, browser extensions, vsc & cursor extensions, and other software.
I just launched my first plugin, Permapilot. It fixes the classic WordPress problem where new custom post types or routes return 404 until you re-save Settings → Permalinks. There's also a Pro version that adds 301 redirects when you rename slugs on a live site.
I also wrote my first post here about how it works under the hood: dev.to/guyargaman/why-your-custom-...
Next up are lan-waifu and a few more projects. Happy to be here, and I'm looking forward to learning from all of you!
Hello world! I'm Charles, nice to meet everyone. I've been vibe coding for a while, but I'm currently focused on building headcountlabs.com, which provides 100k job listings for any use. Before this, I was a personal trader. I've always been surrounded by coders and had a hobbyist interest in this area, so I'm happy to finally have built something real!
What is everyone else working on?
👋 Hello DEV! From Big IT to Indie Hacking (And why I'm here)
Hey everyone! I’ve been a long-time reader of the DEV community, but today I’m finally stepping out of the shadows to introduce myself.
I’m a software developer who has spent years wearing different hats in this industry.
I've had a pretty diverse ride in tech. I spent time navigating the corporate world with some of major IT companies, learned the art of running a business while freelancing, and built everything from enterprise backends to snappy desktop apps.
My go-to toolbelt usually looks like this:
• Backend & Systems: .NET & C# (my absolute bedrock)
• Frontend & Apps: Tauri, JavaScript, and modern web tech
• Cloud: Azure, AWS and lil bit of GCP
The Next Chapter: Building for the Community of Devs, jobseekers and recruiters 🚀
Working for big clients and corporations paid the bills, but it always left me craving something more meaningful. Right now, I'm pivoting. I am officially diving into the indie hacker world to build a SaaS product.
Instead of just chasing a profit margin, my goal is to build something that actually benefits the current stuation. I want to solve a real, everyday pain point that we face, rather than just shifting data around for a corporate spreadsheet.
Why I'm Writing This
Building a SaaS alone in a room can get incredibly isolating. I’m using this space to:
Let's Chat!
If you’ve ever made the jump from a stable corporate job to building your own thing, how did you survive the first few months?
Or, if you're just starting out with Tauri and want to talk shop about desktop apps, drop a comment below. Let’s connect! 👇
x.com/cuepreem .
Many of you might be thinking it might be a AI post but in truth I am an introvert and do not like to be much of myself in the public forum, hence anonymity.
Hey everyone! 👋
I work mostly with Linux, Docker, Kubernetes, and infrastructure operations. Lately I've been exploring small open-source tools and ways to use local AI models for practical problems.
I joined DEV to share what I'm building, learn from other developers, and hopefully get some useful feedback along the way.
Glad to be here!
We all remember how we started — 3D modeling, diving into code, picking up languages that became part of us because we genuinely cared about the projects we built. And what matters isn't where or how we learned — it's the philosophy behind what we choose to make.
It ranges from a race car built on JavaScript and clean HTML for fast web delivery, where data lives simply in a data.json, to hand-crafted NFTs — one contract per token, no mass-minting, no admin shortcuts. The owner can update the metadata URL directly on PolygonScan. The code is verified. The 3D visualizer runs in the browser on a separated architecture above the root directory, with PHP acting as a bridge.
You can't really put all of this into words — it's just how it is when you're genuinely into what you do. And being part of a community like dev.to, surrounded by creators who inspire and push you forward — that's something worth sharing.
Wishing all of you the same energy and drive.
With respect,
TOINMAX® (Tolstykin Maxim)
Hello Everyone
I am Aranya Kumar, a second-year B.Tech CSE student at IIIT Lucknow, UP, India. I m interested in software development, machine learning, deep learning, blockchain, and open source.
My tech stack includes Kotlin, Android development, C++, Python, and Git/GitHub. I have experience with ML model training, feature engineering, hyperparameter tuning, ensemble methods, and model evaluation, along with deep learning fundamentals.
I have also explored Ethereum, Solidity, and smart contract development. I actively contribute to open-source projects and practice DSA using C++.
Hey everyone 👋 I build QuickMatch (quickmatch.si), a site that compares AI tools for indie game devs: 3D models, art, animation, audio and code. I'll be sharing guides here on things like getting AI-made assets into Godot, Unity and Roblox, and which tools' free plans actually allow commercial use. Glad to be here!
Hello, my name is Tarini.
I'm a college student working on learning about ML and data science. I currently build my portfolio website and I'm excited to improve and learn new things. This is my first time exploring DEV, I got to know about this through Hacktoberfest, and I hope I can contribute great things.
Hello everyone!
You know that new writers always come. But only a few stay.
I am not here to tell my name because it is not important. I am not here to tell you where I come from because you respect people's privacy. But I am here to tell you that you are going to LOVE what I write.
By the way, I don't want to tell you that I am going to learn to write or to write my journey like what most people tell you here. But it's better to say that I am going to learn about YOU, the people.
Follow me for more gems like this.
Hey everyone! 👋 I'm John.
I'm passionate about AI infrastructure and AI agent development. I'm always exploring new tools, experimenting with ideas, and building AI-powered applications.
I'm here to learn, share, and connect with developers who are building cool things with AI. Looking forward to being part of the community! 🚀
Hey everyone! 👋
I'm Aayushi, a third-year B.Tech student passionate about frontend development, UI/UX, and open source. I enjoy building creative web projects using React, JavaScript, HTML, and CSS.
I'm new to the DEV community and excited to learn from other developers, explore open source, and connect with like-minded people. Looking forward to being part of this community! 💗🚀
Hi everyone! 👋
I'm an independent developer working on AI Cost Management, a local-first Windows app that helps users review their recorded AI spending across providers and models.
I've been learning a lot about building practical software, handling edge cases, and making sure releases and download instructions actually work for users.
I joined DEV to learn from other developers, share what I discover while building and maintaining a real project, and get honest feedback.
Looking forward to connecting with you all!
Hi everyone! 👋 I'm Ignacy, a manufacturing engineer from Belgium — by day I program 5-axis CNC machines, and on the side I build software with AI coding tools.
I just published my first post here: how I got YouTube transcripts working on a cloud server, in the language the speaker actually uses.
Fun fact: the banner on my LinkedIn is the letters "AI" milled out of a block of aluminium. Happy to be here!
Hello everyone!, I'm a third-year Computer Engineering student at Sinhgad Academy of Engineering, Pune. I'm currently learning Java and exploring software development. I joined DEV to learn from other developers, share what I discover, and improve my skills by building projects. Excited to be part of this community and connect with you all!
Hey everyone! 👋
I’m new here. I have done MCA in web dev mainly. I build things mostly for the fun of it, and right now that means OpenBridge: an open source app for moving files and text between an Android phone and a Mac, Windows or Linux computer. No cloud, no account, just your own network or a USB cable.
It started because I was tired of emailing photos to myself like it’s 2009. Then it grew a little out of hand: Kotlin on Android, Swift on the Mac, Compose for Windows and Linux, and way more time than I’d like to admit spent figuring out why one particular phone hides its hotspot from apps.
What I’m learning: networking quirks across Android brands (send help), and how to make an app look good in three different themes without losing my mind.
Fun fact: everything gets tested on exactly one phone and one MacBook Air, so if you have a Samsung, Pixel or a Linux box lying around, I’d love to hear how it behaves for you 😄
Repo’s here if you’re curious:
Happy to be here!
Hey everyone! 👋
I'm Jack, an indie developer building AIExportHub, a Chrome extension that helps people back up and organize conversations from ChatGPT, Claude, Gemini, and other AI platforms.
I'm interested in AI tools, browser extensions, JavaScript, and building useful products that solve real problems.
I joined DEV to share my development experiences, learn from other developers, and connect with people building interesting things.
Looking forward to being part of the community! 🚀
Hey everyone! 👋
I’m excited to be here! One of my cousins introduced me to Hacktoberfest, and it sparked my curiosity to learn more about it. I’m here to explore, learn new things, and discover more about the world of open source. This is my first time joining the platform, and I’m looking forward to learning, contributing, and connecting with the community.
Looking forward to this journey! 🚀✨
Hi DEV! 👋 I’m Manfredi Marrocco, an IT Governance, GRC & Cybersecurity consultant based in Rome.
I explain security, risk and governance through gaming, TV and pop culture—from privileged access in Middle-earth to legacy systems in Warhammer 40K. 🎮
I also share browser-based GRC demos built around synthetic data.
🌐 Website & Lab
💻 GitHub
💼 LinkedIn
🎬 YouTube
✍️ Medium
💬 X
What fictional world would you use to explain a cybersecurity concept?
Hey everyone! 👋
We’re JavaScript Mastery, and we help developers go from learning to building through real-world, project-based tutorials. Our content covers JavaScript, React, Next.js, and lately a lot of AI-powered apps, so you’ll see plenty of full builds, guides, and dev tips from us here.
What brought us to dev.to? This community is one of the best places for developers to share what they’re learning, and we want to be part of those conversations, not just post content.
Fun fact: some of our most popular project tutorials started as ideas suggested by our community. So if there’s something you’d love to see built step by step, drop it below! 🚀
Excited to meet you all and see what you’re working on!
Hi everyone! 👋
I'm a BTech Computer Science student interested in C++, DSA, Python, Linux, cloud computing, and open source.
I'm starting my Hacktoberfest 2026 journey to learn how real-world open-source projects work, improve my Git/GitHub skills, and make meaningful contributions.
I'm excited to learn from this community, build useful projects, and share my progress along the way. Looking forward to connecting with you all! 🚀
Hi all! I'm Marius, a backend engineer (Node.js, TypeScript, MongoDB, Docker) from Romania. I like building small tools that catch problems early. My first post here looks at how the dependencies of 26 popular Node.js starters have aged since people cloned them. Happy to be here.
Hey everyone! 👋
I recently wrapped up my degree in Computer Science and Engineering, and right now I’m diving deep into data science, machine learning workflows, and physics-informed neural networks (PINNs). When I’m not wrangling data in Python or digging into foundational math and algorithms, I love finding keyboard shortcuts for just about everything to avoid touching my mouse. Excited to connect and see what everyone else is building and exploring!
Salut Francis ! 👋
Merci pour l'accueil sur DEV. C'est cool de voir une communauté aussi active.
De mon côté, je bosse sur Velocity IA — une plateforme qui transforme une idée écrite en site web ou application mobile complète en 2 minutes grâce à l'IA (React + Vite + Tailwind généré automatiquement).
Le truc qui me motive : rendre la création d'applis accessible à ceux qui ne codent pas — surtout en Afrique, où des milliers d'entrepreneurs ont des idées mais pas les moyens de payer un dev.
En ce moment je finalise :
• Un système de "Mode Plan" (l'utilisateur valide le plan AVANT que l'IA code)
• Un programme de parrainage (Parrainez et gagnez)
• Pas mal de pages SEO pour le référencement
Bref, pas mal de choses. Content d'échanger avec vous ici 🙌
Vous bossez sur quoi en ce moment, les autres ?
Hi everyone! 👋 I'm Winn Htut Hein, a high school student from Myanmar.
I'm currently focused on learning program flow and figuring out how frontend logic works under the hood while studying Grade 12 math to build a better logic foundation.
I love building real-world tools to help myself learn, and I recently shipped two live apps: BLOC (a daily planner) and ZeroLeak (a client-side privacy tool).
I'm excited to be here, look at how others write code, and hopefully get some honest feedback from experienced developers as I build my next project!
Hey everyone! 👋
I just joined DEV to connect with other builders and share some weirdly specific things I’ve been working on lately.
Right now, I'm hacking on KERN (github.com). It’s a zero-trust verification gateway for AI-generated code written in Zig 0.17 and verified with Lean 4 formal proofs.
The main goal is to catch AI "hallucinations" and vacuous tests that sneak past standard CI with an exit code 0. KERN sits between the AI agent and the repo, using the Z3 SMT solver and Belnap B₄ logic to strictly block unproven claims.
I’m here to swap stories with people dealing with AI agents in production, or anyone who just loves low-level engineering, formal logic, and Zig.
Drop a comment if you're working on anything similar. Happy to connect!
Hi all,
I'm Andrei, building BadMars: an adversarial AI that attacks business plans and tells you where they break instead of cheering them on.
I pointed it at my own plan first — it scored us 14/100, which stung and then helped. Here to write about failure modes, unit economics, and building with a small team, and to read more than I post.
Glad to be here 👋