MVPilot

What's next for MVPilot

MVPilot was inspired by the problem almost every hackathon team runs into: the idea is there, but turning it into a real, working MVP fast is the hard part. we wanted to build an autonomous agent that does more than chat about a startup idea. The goal was for it to actually take action: understand the idea, break it into requirements, plan the architecture, generate code, create a GitHub repo, commit the files, and show the whole process in a live dashboard. we built MVPilot as an agentic workflow using a FastAPI backend, a Next.js frontend, Supabase for memory and RAG, GitHub OAuth for repo creation, and NVIDIA Nemotron models for reasoning and planning. The backend runs a multi-step LangGraph workflow that moves through phases like idea intake, context retrieval, MVP scoping, repo planning, file generation, validation, GitHub commit, and final reporting. The frontend acts like a mission control panel where you can watch the agent’s decisions, tool calls, build timeline, and generated MVP plan. One thing I learned is that “autonomous agent” sounds simple until you actually try to make it reliable. The hard part is not just calling an LLM. It is giving the agent the right tools, useful memory, clear checkpoints, and enough verification so it does not silently produce something broken. A basic version is: $$ \text{Agent} = \text{Reasoning} + \text{Tools} + \text{Memory} + \text{Verification} $$ Nemotron was useful because this project needed structured reasoning, not just conversational output. The agent has to turn a messy idea into a plan, decide what files are needed, use external tools like GitHub, and keep track of what happened across the build.The biggest challenge was connecting all the moving parts cleanly. GitHub OAuth had to be handled securely, Supabase had to support both RAG and memory, generated files had to be validated before commit, and the UI needed to make the agent’s progress easy to understand. Another challenge was making sure the project stayed honest: if a real API key or deployment credential is missing, MVPilot labels partial or mock areas instead of pretending everything is fully live. Overall, MVPilot is my attempt to make startup prototyping feel less like starting from a blank repo and more like launching a real autonomous build pipeline. It is not just a chatbot for ideas. It is a workflow that plans, acts, remembers, and delivers a working GitHub MVP.