AI Code Completion Tools
Tools that suggest the next line, block, or function as you type
AI code completion is inline suggestion while you type: the tool predicts the next line, block, or function from the code around your cursor and offers it as a ghost-text completion you accept or ignore. It is the lowest-friction form of AI coding assistance — no prompt, no chat window, no agent run. That also makes it the narrowest: completion works from what it can see, so it is strongest on repetitive implementation, familiar framework patterns, tests, and boilerplate, and least reliable when a task depends on unstated product rules, recent API changes, or context spread across files the tool cannot access.
How to choose between them. Start with editor and language support, since completion lives inside your editor and the options split cleanly here: standalone editors (Cursor, Zed, Trae IDE), VS Code extensions (GitHub Copilot, Continue, Supermaven, Roo Code, Blackbox AI, Bito AI), JetBrains-first options (JetBrains AI Assistant), and platform-tied assistants (Amazon Q Developer, Gemini Code Assist, Amp, Augment). Then compare how much repository context each one can use, whether suggestions can be disabled for sensitive files, and how the vendor handles code retention. Pricing models differ too: some meter premium model requests, others bundle completions into a per-seat plan — check the individual profiles below, since these change often.
Treat every suggestion as unreviewed code. Run tests, linters, and security checks before accepting changes, especially for authentication, data access, dependencies, and generated configuration. Completion tools optimise for plausible continuations, not correct ones.
For broader workflows that can edit multiple files or run commands on their own, browse AI coding agents and AI-powered IDEs instead. You can also compare products side by side in the full tools directory.
