CDK Insights
Find security and infrastructure risks in AWS CDK before deployment
Inspect proposed source changes to discuss correctness, maintainability, and potential issues before accepting them.
Find security and infrastructure risks in AWS CDK before deployment
Review code changes, diagnose CI failures, and verify fixes
Run AI code reviews on each commit before changes land.
Review pull requests and scan codebases for bugs with AI.
Connect business rules to code and check changes against them.
Manage agent skills and evaluate the context and workflows used by software development teams.
Check code changes against approved business decisions and link conflicts to their source.
Review KiCad revisions through visual diffs, design discussions, and checks.
Edit, run, and review a software project with a connected coding agent.
Review local Git changes and keep checks tied to the code you tested
Coordinate parallel coding agents and review their work against the original request
Review pull requests and local changes with your existing AI coding tools
Review and refine AI-generated code in a shared agent workspace
Review pull requests with project context and team rules
Coordinate coding agents, shared context, and project artifacts
Keep pull requests and CI status in your Mac menu bar
Check active branches for incompatible code changes before merging
Track GitHub review status and stale pull requests from the Mac menu bar
Plan and organize code reviews with an existing coding agent
Manage coding-agent tasks from isolated worktrees through review