I have been running two AI coding assistants in parallel for six months: Claude Code for agentic work and Cursor for inline completion and refactoring. This is not a review. It is a record of what each one is actually good at, based on the work I do every day.
The work: full-stack development with Astro, React, Python, and WordPress. Two active projects (an institutional website and an open-source GEO audit tool), plus maintenance on a monorepo with 14 packages.
What Claude Code is good at
Multi-file changes with a clear spec. When I can describe what I want in a paragraph or two, Claude Code handles the full change: finding the relevant files, editing them, running tests, and reporting what it did. "Add a new audit signal for content position in the page, check the first 30% of the HTML for the primary heading, and wire it into the scoring function" is the kind of task where it shines.
Debugging with context. When I paste an error message and the relevant code, Claude Code reads the code, identifies the likely cause, and proposes a fix. It is better at this than any tool I have used, including web search. The advantage is that it reads the actual code in the repo, not a generic example.
Writing tests. Given a function and its expected behavior, Claude Code writes test cases that cover edge cases I would not think of immediately. It wrote the test suite for the rendering check in geo-optimizer-skill, including the case where the page returns different content with and without JavaScript.
Git operations. Commit messages, branch descriptions, PR summaries. Claude Code reads the diff and writes a message that describes what changed and why. This is a small thing that saves me 15 minutes a day.
What Cursor is good at
Inline completion while typing. Cursor's tab completion is faster and more accurate than anything else I have used. It completes not just the current line but the next 2-3 lines based on context. When I am writing boilerplate (imports, type definitions, repetitive configuration), Cursor saves me from typing it.
Refactoring within a file. When I need to rename a variable, extract a function, or reorganize a file, Cursor's inline editing is faster than describing the change to an agent. I select the code, type what I want, and it does it. No round-trip to a chat interface.
Quick lookups. "What does this function do?" or "Where is this variable defined?" Cursor's codebase search is faster than grep for understanding relationships within a project. It reads the code and gives me an answer, not a list of files to open.
Working with unfamiliar libraries. When I import a library I have not used before, Cursor's completions are informed by the library's API. It suggests the right function names and parameters based on the import. This is the Context7 use case, built into the editor.
Where they overlap
Both can write code from a description. Claude Code does it across files with more context. Cursor does it within the current file faster.
Both can explain code. Claude Code gives longer, more structured explanations. Cursor gives shorter, more focused ones. I use Claude Code when I need to understand a system. I use Cursor when I need to understand a function.
Both can find bugs. Claude Code is better at bugs that require understanding multiple files. Cursor is better at bugs that are visible in the current file.
The workflow
I run Cursor as my editor and Claude Code in a terminal pane. The split is roughly:
- 70% of my time is in Cursor, typing code, using tab completion, doing inline edits and refactoring.
- 20% of my time is in Claude Code, handling multi-file changes, debugging, writing tests, and git operations.
- 10% of my time is switching between them, usually when a task that started as inline editing turns into something that touches multiple files.
The Digital Applied survey from 2026 found that more than half of developers use a three-tool AI coding stack, not a single assistant. My stack is two tools, and the reason is that Claude Code and Cursor cover different parts of the workflow without much overlap. Adding a third would mean more context-switching for marginal benefit.
What I stopped doing
I stopped using ChatGPT for code. Claude Code has access to my repo. ChatGPT does not. The context advantage is decisive for anything beyond a quick syntax question.
I stopped using GitHub Copilot. Cursor's completions are better, and Cursor includes the AI chat and codebase search that Copilot provides separately. Running both was redundant.
I stopped copy-pasting code between tools. When a task outgrows inline editing, I switch to Claude Code and describe the full task there. Moving half-finished code between tools breaks context and wastes time.
What I would tell someone starting out
Do not pick one assistant. Pick two that cover different parts of your workflow. Use one for inline editing and fast completions (Cursor, Copilot, or Zed's AI features). Use one for agentic multi-file work (Claude Code, Codex, or similar). The combination is more productive than either tool alone, because the tasks they are good at are not the same tasks.
The survey data supports this: developers who use multiple AI tools report a median productivity improvement of 34% after 60 days, rising to 37% after 180 days. The improvement comes from matching the right tool to the right task, not from picking the "best" tool overall.
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