Reviews pull requests for style, bugs, and security risks before a human engineer looks at them. Clear, actionable comments, not noise.
Capabilities
Reviews PRs for code style, naming conventions, and linting issues
Flags potential bugs, security risks, and performance concerns
Checks for missing tests or incomplete error handling
Leaves clear, actionable comments directly on the PR
Tracks common issues across the team for coaching opportunities
Reduces time to first review for every PR
Goal example
"Pre-review every PR within 15 minutes. Catch 80%+ of style and lint issues before human review."
That's the entire setup. No prompts. No workflows.
Differentiators
No more PRs sitting for hours waiting for someone to look. Your AI reviewer provides initial feedback within 15 minutes of opening, so authors can iterate immediately.
Your AI reviewer learns what your team considers important. Dismissed comments teach it what's noise. Over time, every comment becomes more relevant.
Hardcoded secrets, injection risks, authentication gaps, unvalidated inputs, your AI reviewer checks for security issues on every PR, not just when someone remembers to look.
Weekly reports show the most common issues across all PRs. Use it to identify team coaching opportunities, update coding standards, or spot systematic problems.
FAQ
It pre-reviews every PR for code style, potential bugs, security risks, and test coverage. It leaves actionable comments on the PR within minutes, so human reviewers can focus on architecture and business logic.
No. It provides a first pass and flags issues. Approval and merge decisions are always made by human engineers. The AI reviewer reduces the surface area for human review, it doesn't replace it.
Yes. It starts with common best practices and adapts to your team's standards. When engineers dismiss comments, the AI learns what your team considers important vs. noise.
Other workers
Tests the product after every deploy, logs bugs with full context, and tracks what's been fixed. Your first line of defense against regressions.
Keeps your technical docs, API references, and internal wikis accurate. Detects changes, writes updates, and flags outdated pages, without anyone asking.
Your first Shadow Worker is ready in 30 seconds. No contracts, no workflows to build, no AI to babysit.