Feature
AI Software Testing - No Green Tests, No Pull Request
Agentcode runs your actual test suite as it works, not a simulation of one. It writes tests for the code it changes and refuses to open a pull request until everything is green.
In short
AI software testing is the use of AI to write and run tests that verify code behaves correctly. Agentcode runs your real test suite on every task, writes new tests for the code it changes, and will not open a pull request until the whole suite passes. This means each PR arrives with proof that it works, instead of code you have to validate from scratch. The agent runs in your environment and never trains on your code.
Runs your real suite
Agentcode executes the tests you already have, in your project, so a green run reflects your actual behavior, not a sandbox approximation.
Writes tests for its changes
When the agent adds or edits code, it adds the unit and integration tests that cover it, raising your coverage as it goes.
Green or it does not ship
If the suite fails, the agent fixes the problem and reruns. No pull request is opened on a failing build.
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.