Feature
AI Code Review - Every Change Arrives as a Reviewable PR
Agentcode does not hand you a wall of unexplained changes. Every task lands as a pull request that shows the plan it followed, the exact diff, and a passing test run, so review-first is the default, not an afterthought.
In short
AI code review is the practice of using an AI system to read code changes and surface problems before they merge. Agentcode builds this in from both sides: the agent self-reviews its own work against your test suite before opening a pull request, and it presents each change as a PR with the plan, the diff, and green tests so a human reviewer can quickly judge it. Nothing merges automatically, so you always have the final say. The agent never trains on your code.
Self-review before the PR
The agent checks its diff against your tests and its own plan, and reworks anything that fails, so the PR you open is already in good shape.
Plan plus diff plus tests
Each pull request shows what the agent intended to do, exactly what it changed, and proof the tests pass, which makes human review fast and confident.
Review-first by design
Agentcode never merges on its own. You read the PR, request changes if needed, and merge only when you approve.
See it in action
Watch the agent run a task
Pick a task
Plan
- planning
Files changed
Test run
Pull request
You review and merge. Agentcode never merges on its own.
More of what the agent does
See the whole loop on the how it works page, or compare Agentcode to GitHub Copilot.
Put the agent to work
Describe a task and get a pull request you review and merge.