Continuous Agent Integration

CI/CD pipelines have always been about automation — run tests automatically, deploy automatically, catch problems automatically. AI agents take this further. Instead of just checking whether code passes tests, agents can analyze why it fails, suggest fixes, maintain code quality proactively, and even create pull requests to address issues they find.

This is the bridge between "agents as interactive tools" and "agents as autonomous team members." The agent doesn't wait for you to ask — it watches the codebase and acts when something needs attention.

The CI/CD Agent Stack

Traditional CI/CD handles the deterministic checks — does it build, do tests pass, does the linter approve. Agent-powered CI adds the judgment-based checks:

# Traditional CI steps
build:           # Compiles