Qoder

Qoder indexes your codebase, files, rules, and tools, then reuses them across sessions. It handles large repositories, so the agent knows what the wider project does instead of guessing from one open file. That context is the difference between plausible code and code that runs.

Quest takes a written goal and carries it through planning, coding, testing, and delivery. You confirm the details up front, then let the agent work in a sandbox while you watch its plan and progress. It suits long, multi-step jobs where babysitting every edit would be slower than delegating.

Repo Wiki generates structured docs for your project and keeps them in step with code changes. When a modification makes a page stale, Qoder flags it for an update. You can also edit the wiki by hand and share it through your repository so the whole team builds on the same notes.

Experts Mode splits a complex task across several agents that handle planning, implementation, testing, and quality review in parallel. It's the heaviest of the modes and the most credit-hungry, so it makes sense for genuinely tough jobs rather than routine edits.

The Qoder CLI brings the same agent into your terminal, where it generates code, reviews changes, and runs commands. Cloud Agents take that further: you define an agent and start a session through an API, and the work runs in an isolated sandbox while results stream back.

Qoder works less like a static AI coding assistant and more like an AI IDE with a mind of its own, routing requests across current frontier models automatically instead of making you pick one. Paid plans include a monthly credit pool for premium models and fall back to basic models when it runs dry. On the Free plan you can also plug in your own API key.