These three get lumped together as "AI coding tools," but they're solving genuinely different problems in your workflow, inline completion, full-editor AI integration, and autonomous multi-file agentic work. Here's how they actually differ, and which combination makes sense depending on what you're building. GitHub Copilot: the widest net Copilot's real advantage isn't raw capability, it's reach. Native support across VS Code, JetBrains, Neovim, Visual Studio, and Xcode makes it the easiest entry point regardless of what editor your team already uses, and it holds the largest market share of any tool in this category. The free tier (around 2,000 completions a month) makes it close to a no-brainer starting point, especially for teams already living inside the GitHub ecosystem for issues, PRs, and CI. Where it's the clear pick: you want inline, low-friction autocomplete everywhere you already work, without changing editors or workflow. Cursor: AI woven into the entire editor, not just autocomplete Cursor is a fork of VS Code with AI integrated at every layer, not bolted on as a plugin. Its Composer interface handles complex multi-file refactors directly inside the editor, and it's become the most commercially successful tool in this category by a wide margin, reportedly over a million users and reviewers reporting meaningfully fewer PR review comments after adopting it. For developers who live in their editor all day, having AI that understands the whole open project (not just the current file) is a genuinely different experience from inline suggestions. Where it's the clear pick: you want AI-assisted editing as your default way of working, not an occasional autocomplete assist. Claude Code: the one for autonomous, repo-wide work Claude Code operates more like an agent than an editor plugin, it reads files, runs commands, manages git, executes tests, and edits across multiple files in your actual local environment, currently leading autonomous coding benchmarks (around 80% on SWE-bench Verified). This is the tool for handing off a genuinely complex, multi-step task and getting back a coherent, well-reasoned result, not for inline suggestions while you type. Where it's the clear pick: large refactors, unfamiliar codebases you need to understand quickly, or any task better described as "do this whole thing" rather than "suggest the next few lines." What most working developers actually do The realistic setup isn't picking one, it's layering them by task size. A common, cost-effective combination is Copilot for everyday autocomplete plus Claude Code for the occasional complex refactor or architecture task. A more editor-centric setup swaps in Cursor as the daily driver, with Claude Code still handling anything that spans the whole codebase. How to actually choose Don't start from "which is best", start from where your current friction actually is. If you're constantly context-switching between editors, Copilot's reach solves that. If your bottleneck is slow, disjointed multi-file edits, Cursor's integrated approach solves that. If you're regularly facing tasks too large or unfamiliar to comfortably do by hand, Claude Code's autonomous, repo-aware approach is the one built for exactly that job.