The latest articles on DEV Community by Sneha Poojary (@sneha_poojary). https://dev.to/sneha_poojary https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3022740%2F04cea44b-08a0-4bd5-a6d1-2a17f4953ba8.png https://dev.to/sneha_poojary en Sneha Poojary Sun, 06 Apr 2025 11:51:39 +0000 https://dev.to/sneha_poojary/ai-powered-debugger-3957 https://dev.to/sneha_poojary/ai-powered-debugger-3957 <p><strong>Introducing the AI-Powered Debugger for Music Blocks – GSoC 2025</strong></p> <p>Hi everyone! I'm Sneha Poojary, a GSoC 2025 aspirant working with <strong>Sugar Labs</strong>. I’m thrilled to share my journey as I develop an <strong>AI-Powered Debugger</strong> for <a href="https://musicblocks.sugarlabs.org/" rel="noopener noreferrer">Music Blocks</a>.</p> <p>This project aims to bridge the gap between users’ creative intentions and the technical challenges they face while composing with Music Blocks. By integrating a lightweight AI model, the debugger will assist users in understanding, troubleshooting, and improving their block-based musical code — all in real time.</p> <h2> 💡 Why This Project? </h2> <p>Music Blocks is a visual programming language for exploring musical concepts. While it's intuitive, users (especially beginners) may struggle when their musical programs don't work as expected.</p> <p>My project introduces a natural language-based debugging assistant that can:</p> <ul> <li>Explain what a user’s block arrangement is doing.</li> <li>Identify logical errors or unintentional musical outputs.</li> <li>Suggest fixes or improvements.</li> <li>Respond to queries like: <em>“Why doesn’t this play the rhythm I intended?”</em> or <em>“How can I make this repeat 4 times instead?”</em> </li> </ul> <h2> 🛠️ Tech Stack </h2> <p>Here’s a quick look at the tools and technologies I’ll be using:</p> <ul> <li> <strong>Frontend</strong>: JavaScript/HTML (integrated into Music Blocks)</li> <li> <strong>Backend</strong>: FastAPI (Python)</li> <li> <strong>AI Model</strong>: Lightweight LLM with Retrieval-Augmented Generation (RAG)</li> <li> <strong>Storage</strong>: JSON-based project analysis and context mapping</li> </ul> <h2> 📌 Current Status </h2> <ul> <li>✅ Submitted proposal: <a href="https://example.com" rel="noopener noreferrer">GSoC 2025 Proposal – AI-Powered Debugger (Link)</a> </li> <li>🔍 Exploring Music Blocks codebase and existing debugging flow </li> <li>📚 Reading documentation, tutorials, and getting feedback from mentors </li> <li>🤝 Connecting with the Sugar Labs community on Matrix and GitHub </li> </ul> <h2> 🚀 Next Steps </h2> <ul> <li>Finalize development plan during the Community Bonding Period </li> <li>Create mock UI for chatbot interactions within the Music Blocks interface </li> <li>Start modular backend development (project analysis &gt; issue classification &gt; response generation)</li> </ul> <h2> 🙌 Stay Tuned </h2> <p>I'll be posting <strong>weekly updates</strong> throughout GSoC 2025 under this blog series. If you’re interested in open source, educational tools, music, or AI – this journey will definitely strike a chord! 🎶</p> <p>Feel free to drop your thoughts or questions in the comments 💬</p> <p>Thank you Sugar Labs and Google for this incredible opportunity 💜<br><br> Let’s build something amazing together!</p> <p>— Sneha ✨</p> opensource sugarlabs ai debugger