Mohamed Kamal@zikooz

CodeAtlas is an AI-powered engineering intelligence platform designed to help developers and engineering teams understand, audit, and modernize complex codebases. Modern software systems are increasingly difficult to reason about. As repositories grow, teams lose visibility into architecture, dependencies, technical debt, and change impact. Refactoring becomes risky, onboarding slows down, and modernization projects become expensive and unpredictable. CodeAtlas solves this problem by transforming GitHub repositories into interactive engineering intelligence. Users can import a repository directly from GitHub, and CodeAtlas automatically scans the codebase, analyzes dependencies, maps architecture relationships, identifies high-risk modules, and generates modernization insights. The platform includes: Interactive dependency graph visualization Risk-based module analysis Blast-radius simulation Technical debt estimation Architecture health scoring Dependency confidence analysis Engineering findings and onboarding guidance Suggested modernization sequences Exportable engineering reports One of the key goals of CodeAtlas is transparency. Instead of pretending the analysis is perfect, the system exposes dependency confidence limitations caused by unresolved imports, framework aliases, or dynamic imports. This makes the platform more trustworthy and operationally useful for real engineering teams. The frontend was built with Next.js, TypeScript, and React Flow, while the backend uses FastAPI with a custom repository scanner, dependency graph engine, and risk analysis system. CodeAtlas was built during the IBM Bob Hackathon to demonstrate how AI can assist engineering organizations with architecture visibility, modernization planning, and repository intelligence.

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.

🌍 Hybrid Hackathon | 💻 Online Build: May 25–30,2026 | 📍 SF Onsite Finale: May 30–31,2026 We’ve unlocked the web for your AI. Now build what wasn’t possible before. Build AI agents with live web data, then join the SF onsite finale at Bright Data’s new Web Data Loft. 🚀 The onsite experience will take place during the opening of Bright Data’s new SF space, The Web Data Loft. 📍 On-site Venue (May 30–31): The Web Data Loft 625 2nd St, San Francisco, CA 🏆 $18,300 cash prize + Bright Data AI Startup Program opportunities 🍕 Free food, drinks, networking, workshops, mentorship, and live demos 🎁 Onsite attendees are automatically entered into a live giveaway for 4 × $100 Amazon gift cards. 🧑‍💻 Apply now to build AI agents powered by real-time web access.

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.