Award-winning multi-agent PR reviewer demonstrating practical workflow orchestration with security detection and automated code review
This GitHub PR Review Bot represents a standout entry from the Mastra Templates Hackathon, demonstrating how multi-agent systems can tackle real-world development workflows with practical, production-ready solutions.
Shane’s Favorite 🏆 - Selected by Shane Thomas (Mastra co-founder) as his personal favorite project.
Practical Value: Shane emphasized the cost-effectiveness - “why pay for B2B SaaS tools if you can just build your own?”
Perfect Learning Balance: Praised for being “a pretty simple example of how you could structure a review bot” without excessive complexity
Production Potential: Judges noted it provides “a good starting spot” for developers to customize and extend
Seamless Integration: Impressed by direct GitHub integration - “you can interact just from your GitHub itself and just put the comments there”
This implementation demonstrates sophisticated multi-agent coordination through a 4-agent system:
Base PR Agent: Shared behavioral foundation with composable domain expertise
Security Agent: Identifies vulnerabilities like SQL injection, XSS, and auth bypasses
Code Style Agent: Enforces formatting, naming conventions, and structural patterns
Summarization Agent: Aggregates findings into actionable GitHub comments
The judges observed live demo showing:
Multi-Agent Coordination: 4 specialized agents working in parallel to analyze different aspects of code changes
Security Detection: Successfully identified a SQL injection vulnerability during the demo
Context Awareness: Agents access previous comments, reviews, and full repository context
Auto-Approval Workflow: Automatically approves PRs that meet all security and style criteria
Real-Time Response: Responds to new commits and human feedback in GitHub comments
The system uses a clean 5-phase workflow pattern:
Agent Specialization: Each agent has a focused domain (security vs style) rather than trying to do everything
Parallel Execution: Agents run simultaneously for faster analysis, then results get combined
Context Preservation: Original PR metadata flows through the workflow alongside new analysis results
Schema Validation: All agent outputs follow strict schemas for reliable result processing
“My favorite was the GitHub PR review bot… You can build it yourself and you can do it with Mastra. Pretty simple example of how you could structure a review bot like this… gives you a good starting spot.”
Personal Connection: Shane revealed the creator’s Drupal background was a “tiebreaker” since he also came from Drupal
Upgrade Potential: Suggested trying GPT-5 instead of GPT-4 as “an easy upgrade” to improve performance
“Why sometimes it’s like why pay for the B2B SaaS tools if you can just build your own… pretty impressed and it has a lot of potential.”
Integration Praise: Loved that “you can interact just from your GitHub itself and just put the comments there and it automatically comes there”
Real-World Application: Solves an actual developer pain point rather than being a proof-of-concept
Educational Value: Perfect balance of sophistication and simplicity for learning multi-agent patterns
Production Ready: Clear path from demo to actual deployment with customization
Cost-Effective Alternative: Demonstrates building custom tools instead of paying for SaaS solutions
This project showcases how multi-agent systems can move beyond experimental demos to practical tools that developers actually want to use and build upon.
