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Use Case

Automate code reviews with context-aware AI agents

Build agents that review pull requests against your team's standards. They understand your codebase, catch bugs, suggest improvements, and enforce style — before human reviewers even look.

The Problem

  • Code reviews are a bottleneck slowing down deployments
  • Junior developers wait hours or days for review feedback
  • Style and standard enforcement is inconsistent across reviewers
  • Reviewers waste time on trivial issues instead of architecture

How It Works

  1. 1Connect your GitHub or GitLab repository
  2. 2Define review criteria: security, performance, style, testing
  3. 3Agent analyzes diffs with full repo context on every PR
  4. 4Posts inline comments and summary with approve/request-changes

Results

  • Instant first-pass review on every pull request
  • Consistent enforcement of team standards and best practices
  • Human reviewers focus on architecture and design decisions
  • Catches security vulnerabilities and performance regressions early

Example Agent Prompt

Review this pull request for security vulnerabilities, performance issues, and adherence to our TypeScript style guide. Post inline comments.

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