ADITYA TALEKAR@AdityaTalekar

Wave Engine is an agentic web app builder powered by a MAS-first autonomous repair architecture. Instead of depending on an LLM for every step, Wave Engine first generates projects from internal templates, then runs a local MAS static analyzer to repair scripts, imports, syntax issues, file structure problems, and common build errors instantly without using model calls. Only when the MAS repair layer cannot resolve an issue does Wave Engine call an LLM, limiting repair to the specific unresolved problem instead of regenerating the whole project. This keeps the system faster, cheaper, and more reliable. After repair, MAS re-validates the project, writes the final fixes, and marks the build complete. The web interface is designed for speed and transparency. A skeleton file tree appears immediately after project creation, while live stage labels show progress such as “Generating files,” “MAS auto-repairing,” and “Done.” The build no longer blocks on an initial chat call; project creation is the first and primary API call. Wave Engine combines internal generation logic, static analysis, autonomous repair, guarded LLM fallback, and live UI feedback into a practical agentic workflow for building apps. The goal is to make AI app generation more deterministic, less expensive, and closer to a real autonomous software engineering system.

📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🎟 FREE AI & Big Data Expo North America ticket included for participants that are able to join the on-site phase. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.

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.

It’s a great opportunity to: 🚀 Leverage Google’s advanced Gemma 2 models to create cutting-edge solutions. 💰 Access resources to support your project development. 🌟 Receive guidance from expert mentors throughout the hackathon. 🤝 Work solo or in teams to bring your ideas to life. 🏆 Compete for a chance to choose from unique Google swag and enjoy an opportunity to meet the Gemma team for the best solutions! 🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot! 🗓️ On-site Workshops: Join us in-person at Google Cloud Space in London on 28th November from 5:00 PM to 9:00 PM UK time (GMT) for hands-on workshops