Kgotso Msiza@kgotsomsiza

AutoReview Crew turns code review into a visible multi-agent workflow. A human mentions the Lead Reviewer in a Band room, and the Lead coordinates a full pull-request review through Band: it delegates to Correctness and Security specialists, waits for the current round of reports, recruits a Test Reviewer when coverage is required, aggregates every finding, and escalates risky changes to the human owner. The project targets Track 2: Multi-Agent Software Development. It covers automated PR review, merge preparation, test coverage, cross-model code review, and human-in-the-loop escalation. Band is not a wrapper around the workflow; it is the collaboration layer. @mentions route the work, the shared room carries context between agents, Band participant tools let the Lead recruit a specialist mid-review, and room events provide an audit trail of every tool call and decision. The demo run completes in about 51 seconds. The Security Reviewer, running Qwen2.5-72B on Featherless AI, flags a hardcoded Stripe API key, SQL injection, and missing input validation. The Correctness Reviewer, running through AI/ML API, flags division by zero and a mutable default argument. The Lead then recruits the Test Reviewer through Band, receives concrete pytest coverage, and only then sends its final ESCALATE_TO_HUMAN verdict. The crew is cross-model and cross-provider by design: AI/ML API powers the Lead, Correctness, and Test agents, while Featherless AI powers the open-source Security Reviewer. The result is not one chatbot reviewing code, but a team of specialists that coordinate, recruit help when they need it, and know when to hand a risky change back to a human. MIT licensed.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 💰 $10,000+ total prize pool Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.

AI Genesis is a global hybrid hackathon that brings AI builders together from around the world — starting online and culminating live at /function1 AI Conference & Exhibition 2026 in Dubai. 📅Oct 26 – Nov 3, 2026 • Oct 26 – Nov 2: Online build & collaboration All projects must be submitted by end of day on November 2. • Nov 2 (Online + Dubai): An exclusive on-site build day in Dubai for selected participants. • Nov 3 (Dubai): Live on-stage pitching & winners announcement at the /function1 Conference. 🌟 Get support from expert mentors throughout. 👥 Go solo or team up. 📍 Please note: If approved for the on-site experience, you’ll also have the opportunity to showcase your project live. Travel and accommodation will not be covered. 🧑🏻‍💻 Secure your spot now, sign up before the Kick-Off Stream!

📅 June 12–19, 2026 • June 12: Kick-off Stream • June 12–19: Online Build Phase • June 19: Project Submissions Ends 🌍 Fully online hackathon. Join and build from anywhere in the world. 🤝 Build practical enterprise workflows where AI agents communicate, coordinate, exchange context, and complete work together. 🧠 Powered by Band and Codeband, built for collaborative AI systems and agent orchestration. 🏆 Prize Pool: $10,000+ 🧑‍💻 Apply now to build the next generation of enterprise multi-agent systems.