@vishalgowda24276

Developers today rely on AI tools like ChatGPT and GitHub Copilot to generate code faster. But AI has a critical blind spot — it doesn't know your codebase. It generates code using wrong libraries, violating naming conventions, skipping error handling, ignoring existing utilities, and introducing performance bottlenecks. The result is code that looks correct but breaks consistency, creates technical debt, and wastes hours in debugging. DebugLens solves this by extending IBM Bob with a custom MCP (Model Context Protocol) server that exposes two powerful tools directly inside Bob: validate_ai_code — Scans AI-generated code against your real repository. Reads every file, extracts patterns, and detects 6 violation types: library mismatches, naming convention violations, missing error handling, duplicate utility reimplementations, and performance anti-patterns including nested loops and synchronous blocking operations. auto_fix_code — Detects all violations and automatically rewrites the code to match your repository. Wrong libraries replaced. Naming converted. Error handling injected. Existing utilities used. All in one command. DebugLens also integrates with GitHub Actions — every pull request is automatically validated, high severity issues block the merge, and findings are posted as PR comments. What makes DebugLens unique is deep IBM Bob integration. Bob is not just used to build DebugLens — Bob is the engine that powers it. Bob calls the MCP tools, reads validation results, explains issues in plain English, and applies fixes. The entire workflow lives natively inside Bob. DebugLens catches what AI misses — before it ships.

📅 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.

🌍 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.