iToverDose/Startups· 11 MAY 2026 · 06:30

Claude Code plugin automates deeper PR reviews with multi-agent workflows

A new plugin enhances AI-powered code reviews by running parallel agent checks and reducing false positives. Early testers report catching more real bugs than built-in tools.

Hacker News2 min read0 Comments

Developers seeking smarter pull request reviews now have a new option: adamsreview, a plugin for Claude Code that introduces a multi-stage, multi-agent review process. Unlike traditional single-pass AI reviews, this tool runs several validation stages in parallel, stores state persistently, and even supports ensemble reviews for higher accuracy.

How adamsreview transforms PR reviews

The plugin operates as six distinct slash commands, each designed for a specific phase of the review workflow:

  • review – Initiates a basic code review using standard checks.
  • codex-review – Engages an ensemble of agents for a more thorough evaluation.
  • add – Adds context or directives to guide the review process.
  • promote – Elevates findings to higher-priority status for manual inspection.
  • walkthrough – Uses Claude’s AskUserQuestion feature to present uncertain findings one at a time, ensuring no issue is overlooked.
  • fix – Deploys specialized agents to address each issue group, validates fixes, and prevents regressions before finalizing changes.

State management is handled through persistent JSON artifacts stored on disk, allowing developers to clear context between stages without losing progress. This approach contrasts with tools that rely on ephemeral session data, ensuring continuity across review cycles.

Key advantages over existing tools

Early adopters report that adamsreview identifies significantly more real bugs compared to built-in options like Claude’s /review or /ultrareview, while maintaining a lower rate of false positives. Unlike some alternatives—such as CodeRabbit or Greptile—which may charge separately for advanced features, adamsreview operates within the user’s existing Claude Code subscription, making it a cost-effective choice for teams already leveraging the platform.

One standout feature is its ensemble review capability, which leverages the Codex CLI and PR bot comments to cross-validate findings. This method reduces the risk of overlooking edge cases by incorporating multiple agent perspectives before finalizing a review.

Installation and setup simplicity

Getting started with adamsreview is straightforward. Users can install it directly from the Claude Code plugin marketplace using two commands:

/plugin marketplace add adamjgmiller/adamsreview
/plugin install adamsreview@adamsreview

The plugin is designed to integrate seamlessly with existing workflows, requiring minimal configuration. Developers familiar with Claude Code’s slash commands will find the transition smooth, as adamsreview extends rather than replaces the native review process.

Real-world impact and community feedback

The creator behind adamsreview emphasizes that the tool was built to address gaps in automated code review quality. By running parallel sub-agents and persistent validation passes, it aims to catch issues that single-pass reviews might miss. While the plugin is still in its early stages, early testers—including professional developers—have shared positive feedback on its ability to reduce manual oversight.

For those interested in contributing to its development or suggesting improvements, the creator invites feedback from Claude Code users, pro developers, and AI review enthusiasts. The project’s repository remains open for contributions, with active discussions shaping its future iterations.

As AI-driven code review tools evolve, plugins like adamsreview highlight the growing demand for more sophisticated, multi-layered validation. With its focus on accuracy and developer productivity, it may set a new standard for automated PR reviews in the coming year.

AI summary

adamsreview, Claude Code için geliştirilmiş bir eklenti olarak daha derin ve çok aşamlı PR incelemeleri sunar. Daha fazla gerçek hata yakalar ve daha az yanlış pozitif sonuç üretir.

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