• PASSED
  • REJECTED
  • HUMAN
  • LOGS

How to automate code reviews with your AI

Connect AutoGen once to spin up a swarm of specialized agents that debate, test, and refine your code. The agents handle the back-and-forth so you only see the final, vetted result.

Ask AI about this page

Short answer

How can I use AI to automate my code reviews?

You can deploy a swarm of specialized agents that act as both developers and reviewers to catch bugs through iterative feedback. This setup uses AutoGen to run automated loops where agents critique each other's work until the code meets your standards. You'll see how the agents interact and resolve issues below.

Where every outcome lands.

The results of your review swarm

Once the agents finish their conversation, the results are organized into these specific states.

PASSED

Validated code

The agents reach a consensus that the code is functional and follows best practices. You get a clean, reviewed snippet ready for deployment.

REJECTED

Failed validation

The critic agents identify critical flaws or logic errors that the coder agents couldn't fix. You receive a report detailing why the code failed the loop.

HUMAN

Manual intervention

The agents hit a deadlock or encounter an ambiguity they can't resolve. You step in to break the tie or provide missing context.

LOGS

Review history

Every critique and correction is captured. You can inspect the full conversation to see exactly how the agents arrived at their conclusion.

The workflow

What your AI does when code arrives.

The AI moves from initial ingestion to a multi-agent debate to ensure the code is actually solid.

  1. Initialize the swarm

    Your agent starts a new environment where the coder and critic roles are assigned and ready to work.

    create_session

  2. Analyze existing logic

    The agent looks at your current workflows to understand the context of the code being reviewed.

    list_workflows

  3. Execute the review loop

    The agents exchange messages, passing code back and forth for critique and refinement.

    create_message

  4. Review the dialogue

    The agent pulls the full transcript of the agent-to-agent debate so you can verify the logic.

    list_messages

Try it

Copy these to start.

Paste these prompts into your chat to trigger the AutoGen swarm.

Starting points

These are starting points. Swap out the specific repo or file names to match your project.

Microsoft AutoGen Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_im6ZUleGV5zCo8b51ydydKQxlYTOsNTFUZKM0ez4/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Microsoft AutoGen capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "autogen-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_im6ZUleGV5zCo8b51ydydKQxlYTOsNTFUZKM0ez4/mcp"
    }
  }
}
Copy into chat04

  • Start an AutoGen session to review the logic in my 'auth_module.py' file.

  • Set up a coder and a critic agent to iterate on this React component in my 'frontend' repo.

  • Use AutoGen to run a multi-agent review on the latest workflow in my 'data_pipeline' project.

  • Run a code review swarm on the 'api_gateway' script and show me the full conversation history.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect AutoGen once, then ask.

Just click to connect. Your credentials stay encrypted, and you can immediately start managing agent sessions through your preferred AI client.

Connect AutoGen to your AI

FAQ

How the review swarm behaves

  • 01

    Can the AI automatically push the reviewed code to GitHub?

    No. The AI can only review and refine the code within the session. You must manually push the final code to your repository.

  • 02

    Does the AI delete my original files?

    No. The AI only interacts with the code provided in the session and cannot modify or delete files on your local machine or remote repos.

  • 03

    How do I see the conversation between the agents?

    You can use the tool to view the message history from the session to see every critique and correction made by the agents.

  • 04

    Can I limit the number of iterations the agents take?

    Yes, you can instruct your agent to stop the loop after a certain number of messages or when a specific condition is met.

  • 05

    What happens if the agents can't agree?

    If the agents reach a stalemate, the process stops, and you will need to step in to provide direction or a final decision.

  • More questions about AutoGen? The Connector page answers them. See everything the AutoGen Connector can do

Connect Microsoft AutoGen to Claude, Cursor, ChatGPT & more