{Unscripted} Autonomous Code Maintenance

Nothing drains developer productivity like codebase maintenance. The endless cycle of dependency upgrades, bug fixes, refactoring, and paying down technical debt is tedious, error-prone work that pulls engineers away from building new features.
Harness Autonomous Code Maintenance (ACM) turns these manual chores into automated, intent-driven workflows. Developers can now state their intent in plain English, with prompts like, "Upgrade the front end from React 15.6 to 16.4". From there, the Harness AI agent drives the workflow: branching, coding, testing, and working iteratively with the engineer until it delivers a build that not just compiles, but runs through your pipelines passing security and functional testing as well. While the AI is doing the heavy lifting, developers are always in the loop and in control.
Some other use cases that Autonomous Code Maintenance supports are
Cleaning up stale feature flags: Stale feature flags often result in dead code paths, bugs, and thus, high tech debt. ACM detects these stale feature flags, removes the references, and opens pull requests for developers to approve. This helps achieve safer experiments with faster feedback.
Self-healing CI build failures with AI Autofix: If a build failure happens after a developer opens a pull request, Harness AI analyzes the issue, generates a potential fix, creates a new branch, and submits a pull request with the suggested remediation. This process is repeated until the build is successful, thus dramatically reducing the mean time to resolution (MTTR) for build failures.
Improving unit test coverage: For every pull request, the CI process tries to improve the unit test coverage by creating new unit tests and then also verifying them iteratively.