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Directories / Use Cases / Build a PR Review Agent

Use case

Build a PR Review Agent

Automatically review pull requests for bugs, style violations, security issues, and test coverage gaps, posting structured feedback as GitHub comments.

Every engineering team has the same problem: PRs sit in review queues for hours because reviewers are context-switching. An automated review agent reads the diff the moment a PR opens, checks for common bugs and security patterns, flags missing tests, and posts inline comments before a human ever looks at it. This compresses first-pass review time from hours to seconds. The teams building these are platform and developer-experience engineers who want to enforce standards without writing more linter rules.

The stack

Each pick is a real entry on the index. Click any one for the full detail page.

  1. 1
    A Agents Review Engine

    Claude Code

    by Anthropic

    Why this: Claude Code reads diffs with full file context and produces structured, line-level feedback. Its tool-use lets it fetch related files, check test coverage, and call the GitHub API in a single reasoning pass.

    Full entry
  2. 2
    M MCP GitHub Integration

    GitHub MCP Server

    by GitHub

    Why this: The GitHub MCP server exposes PR diffs, file trees, and comment APIs as native tools. The agent can read the full changeset and post inline review comments without any custom GitHub client code.

    Full entry
  3. 3
    A Agents Orchestrator

    Cline

    by Cline

    Why this: Cline handles the outer loop: watching for new PR events, routing them to the review agent, and managing retries. It keeps the review agent stateless and composable.

    Full entry
  4. 4
    S Skills Security Check

    Security Review Skill

    by Anthropic

    Why this: The security review skill bundles a curated set of vulnerability patterns and prompt instructions. Wiring it in gives the review agent a dedicated security pass without duplicating that logic in the main prompt.

    Full entry
  5. 5
    M MCP Review History

    Postgres MCP Server

    by Model Context Protocol (reference)

    Why this: Storing past review decisions lets the agent learn which feedback patterns get accepted or dismissed. The Postgres MCP gives the agent direct read/write access to that history without a separate API layer.

    Full entry
Why we picked this stack

Get this running with Enterprise DNA.

Enterprise DNA connects the PR review agent to your project context: which repositories are in scope, which secrets it needs to call the GitHub API, and a CRM record of which teams are using it. The agent gets its configuration from EDNA rather than hardcoded environment variables, so rolling it out to a new repository is a data change, not a code change.

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Alternative stacks

Different angles on the same outcome.

Alternative

Code Review Bot

A lighter-weight bot that focuses on style and lint rules rather than semantic review.

See the alternative Alternative

Security Audit Agent

Deeper vulnerability scanning across an entire codebase, not just incoming diffs.

See the alternative

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