ADITYA TALEKAR@AdityaTalekar

Wave Engine is a multi-agent software intelligence platform built to help developers understand, debug, and generate software faster. It combines a VS Code extension, REST API, and web UI into one workflow for repository analysis, deep reasoning, and project creation. The system includes a zero-LLM analysis mode, so it can provide useful insights even without an API key, along with semantic caching, adaptive context windows, dependency graph analysis, and safe PDF/attachment handling. For build workflows, Wave Engine can turn a plain-English requirement into a structured project plan and generated application scaffold. It is designed with strong security boundaries, tested behavior, and production-ready delivery in mind, making it a practical assistant for both code understanding and rapid prototyping.

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.

💻 Online Hackathon | ⏳ Build: 48 hours | 📅 September 25–27, 2026 The official IBM Bob 2.0 hackathon. Build what's next in AI-assisted development, alongside the developers and experts shaping it. ⭐ Get help from experts throughout the event 🤝 Join a team or build solo 💰 Prize pool: $12,000 🧑🏻‍💻 Register before the Kick-Off Stream to start building with Bob

To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. ADP members can access AI tutorials, experts, and community support. In addition, new members can claim a free month of DeepLearning.ai pro, $100 in AMD GPU cloud credits, and $50 in Fireworks AI API credits. All hackathon participants will receive on hackathon launch additional compute and API credits for their projects. Ready to build what's next on AMD? Sign up with AMD below to secure your spot.

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.