PR Reviews Overview

Deeployed Peer transforms your Pull Request workflow from a manual bottleneck into an automated, high-velocity process. It acts as an elite technical reviewer that stays with your code 24/7.

What Deeployed Peer does with your Pull Requests?

Unlock a deeper understanding of your changes with Peer's comprehensive analysis suite.

How Does It Work?

Integrating Deeployed Peer into your team's workflow is seamless.

1. Connect Your Repository: Link your GitHub, GitLab, or Bitbucket repository through the Deeployed Dashboard.
2. Automated Triggering: Once connected, Peer is automatically vigilant. Every time a new Pull Request is created or a fresh commit is pushed, Peer initiates a deep analysis.
3. Instant Feedback: Within moments, results appear as native comments, suggestions, and summaries directly where you work.

How To Interact with Peer?

Peer is designed to be conversational. You can control its behavior and dive deeper into technical discussions using localized commands or natural language.

1. Commands

Use these commands in your PR comments to trigger specific actions from Peer.

Manual Re-Review

If you've integrated Peer mid-PR or simply want a fresh analysis after making significant changes, use this command:

@deeployed-peer review

Auto-Resolve Comments

Once you've addressed Peer's feedback, you can batch-resolve all its previous comments and suggestions to clean up the PR thread:

@deeployed-peer resolve

Mute Bot Activity

If you want to temporarily silence Peer in a specific PR—preventing it from answering questions or triggering incremental reviews—use the mute command:

@deeployed-peer mute

Pause via PR Description

You can also prevent Peer from performing any further reviews by adding the following tag anywhere in your PR Description:

@deeployed-peer: ignore

2. Chat with the Bot

Need more clarity on a specific suggestion? You can treat Peer as a senior engineer sitting right next to you.

Just tag Peer with @deeployed-peer and ask your question in natural language. Whether you need an explanation of a complex algorithm or a quick sanity check on a refactor, Peer provides context-aware answers instantly within the PR thread.