DGouron/review-flow — Automated AI code reviews powered — webhook-driven, real-time dashboard, MCP integration, smart queu…

Description and use

**Project Summary:**

DGouron/review-flow is an open-source project that automates AI code reviews with a real-time dashboard, multi-agent audits, and iterative follow-up reviews for GitLab MRs and GitHub PRs. This project helps organizations streamline their development processes by turning isolated prompts and tools into repeatable agent workflows. By leveraging webhook-driven integrations and smart queue deduplication, review-flow enhances the efficiency of code reviews.

**Value Proposition:**

The primary value proposition of DGouron/review-flow lies in its ability to standardize agent memory, add tool-use pipelines, and coordinate multi-agent workflows. This enables organizations to improve the consistency and quality of their code reviews, ultimately leading to better software development outcomes. By automating repetitive tasks and providing real-time insights, review-flow helps teams save time and resources.

**Practical Adoption Path:**

To adopt DGouron/review-flow, teams can start by integrating the project with their existing GitLab or GitHub workflows. This involves setting up webhooks, configuring the smart queue, and customizing the multi-agent audits to meet their specific needs. As teams become more comfortable with the project, they can explore additional features, such as iterative follow-up reviews and MCP integration, to further enhance their code review processes.

**Production

Problem

DGouron/review-flow helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Evidence

Automated AI code reviews powered — webhook-driven, real-time dashboard, MCP integration, smart queue with deduplication, multi-agent audits, and iterative follow-up reviews for GitLab MRs and GitHub PRs

Source