Jairus Gad Meneses@Jairus

DevSpark is an automated, brutal AI Tech Lead designed to disrupt the "lazy copy-paste" habit common among modern developers. Traditional AI assistants provide instant answers, causing engineers to blindly paste code solutions without actively learning from their mistakes. DevSpark fixes this flawed behavior loop with an intentional friction mechanism called the Active Reflection Lock. When a developer submits messy, insecure, or legacy code, our backend leverages IBM watsonx.ai foundational models to analyze the input for security vulnerabilities, architectural anti-patterns, and syntactic issues. The AI generates a humorous yet brutally honest code review alongside a production-ready, optimized enterprise refactor. Instead of serving the solution immediately, the frontend—built using the flat, strict guidelines of the IBM Carbon Design System—renders the refactored code block under a secure backdrop-blur layer. The user is forced to read through the structured, line-by-line critiques. Clicking the "I Understand My Mistakes → Unlock Code" button is the single mechanism to clear the overlay, forcing active reflection before code consumption.

Government and enterprise procurement processes are plagued by inefficiencies, price bloat, and manual auditing bottlenecks. Traditional SaaS auditing tools require uploading sensitive financial data to third-party clouds, creating massive security and privacy risks. AuditEye solves this by providing a 100% sovereign, locally hosted AI auditing system. Powered by Alibaba Qwen 2.5 running on an AMD Instinct™ MI300X compute node, the system uses LangGraph to orchestrate a deterministic audit workflow. It ingests procurement data (CSV, Excel, PDFs), cross-references requested budgets against internal price lists or live market baselines, and flags anomalies. Designed with local government units and corporate modernization in mind, AuditEye allows institutions to process sensitive documents instantly, securely, and with enterprise-grade reasoning. Your data never leaves your hardware, ensuring tax dollars and corporate budgets are spent transparently.

Build solutions that improve how software is built. Work with an AI that understands your codebase, helping you reduce repetitive work and build with real context. ⏳ Build your project in 48 hours. 🚀 Get hands-on with IBM Bob and explore how AI fits into real development workflows before it becomes standard. 💡 Build tools and workflows that developers would actually use. ⭐ Learn directly from experts throughout the event. 🤝 Join a team or build solo. 💰 Prize pool: $10,000 🧑🏻‍💻 Register before the Kick-Off Stream and start building with Bob.

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. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.