BUILD / WORKFLOW
Review code with an agent beside the team
Inspect a pull request, run the relevant checks, explain risks, and prepare a focused review for an engineer.
The problem
Engineers need fast feedback on code changes, but review time is limited and important context is spread across issues, commits, tests, and documentation.
The current manual process
A reviewer reads the diff, opens related files, checks the issue, runs tests, and writes comments. The depth of review varies with time and familiarity.
The workflow
- Read the pull request, issue, and repository context.
- Inspect changed files and identify likely risk areas.
- Run the relevant tests, lint, and type checks.
- Compare the change with project conventions and requirements.
- Prepare review comments and a short evidence summary.
- Leave final approval and merge decisions with the engineer.
Where AI and people fit
Where AI helps
Where a human approves
Tools involved
- Git repository
- Issue tracker
- Test runner
- CI results
Expected outcome
More consistent review preparation without pretending that an agent replaces engineering ownership.
Known limitations
Tests can miss real production behavior, and an agent can misunderstand intent. Review remains necessary for consequential changes.
Run it in Operic
Start by mapping the inputs, owner, tools, authority, and finish line. Build the AI and software steps around that process, run it on real work, and prove the result before making it a repeatable system.
Build this workflow around your business.
Join the early access list and tell us what the current process looks like.