Which AI coding tool
is right for you?
Four quick questions. No email required. We match you to the best of 11 tools we've tested — based on how you actually work, not marketing.
All 11 AI coding tools we test
Prefer to browse? Every tool, with our one-line take and full review.
The best all-around AI code editor. Superb autocomplete + a capable multi-file agent, on a familiar VS Code base.
The most capable coding agent. Lives in your terminal, owns whole multi-step tasks end to end.
The best value. Very good autocomplete and GitHub-native workflow for $10/mo, with a usable free tier.
The most agent-first IDE — describe a task and watch it execute. Now part of Cognition, with its own SWE-1.5 model.
The fastest editor here — Rust-native, sub-second. Bring your own agent (Claude Code, etc.) via ACP.
A free, open-source VS Code agent with Plan/Act modes and MCP tools. Bring your own model.
A free, open-source terminal agent with the tightest git integration — every change is a clean commit.
The AWS-native assistant. Best if your stack lives in AWS; strong at Java upgrades and agentic tasks.
Sourcegraph's assistant with deep code search across large codebases. Generous free tier.
Built into JetBrains IDEs, with the Junie agent. The natural pick if you live in IntelliJ/PyCharm/etc.
The privacy pick. Self-hosted/air-gapped deployment and enterprise compliance for regulated teams.
Or skip ahead
Editor and budget are the two constraints that actually eliminate tools. If you already know yours, here is the answer without the questions.
VS Code
JetBrains
the terminal
Change tracker
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