Lazy-Dev

Developers often struggle to retrieve and understand code from past projects. We are building a project that instantly retrieves relevant code within the context of the specific project.

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Inspiration

As developers, we’ve all struggled with revisiting old projects—digging through scattered files, poorly documented code, and forgotten logic. We wanted to create a tool that eliminates this frustration by making past work instantly accessible. Inspired by GitHub’s code management and AI-powered search capabilities, we envisioned Lazy Dev as a smarter, more intuitive way for developers to find and reuse their code efficiently.

What it does

Lazy Dev acts as an AI-powered personal code assistant, allowing developers to query their past projects conversationally. Users upload their codebases, and our platform intelligently organizes and indexes their work. When a developer needs a specific piece of code, they simply ask the chatbot, which retrieves and presents the most relevant snippets along with context.

How we built it

Frontend: Next.js, React, TypeScript for a seamless and intuitive UI

Backend: Supabase and Python for secure data storage and fast queries

AI Integration: Gemini API

Challenges we ran into

Prompt Engineering
Integration of Backend into the Frontend pages

Accomplishments that we're proud of

Successfully integrating AI-driven search to locate past code snippets instantly
Building an end-to-end system that combines GitHub-like organization with AI-powered queries
Creating a developer-friendly chatbot UI that improves workflow efficiency

What we learned

We learned effective prompt engineering to optimize AI responses for accurate code retrieval. Integrating AI with a structured codebase improved our skills in data storage, indexing, and retrieval. Additionally, we gained experience in frontend/backend optimization to enhance user experience and scalability.

What's next for Lazy-Dev

As we move forward, our goal is to scale Lazy-Dev into a more robust and widely accessible platform. While our current implementation focuses on an AI-powered chatbot UI for code retrieval, we envision expanding its capabilities to provide an even more seamless developer experience. One of our next steps is to integrate Lazy-Dev with popular developer tools such as VS Code, JetBrains IDEs, and command-line interfaces, enabling developers to retrieve and understand past code without leaving their workflow. Additionally, we plan to enhance the chatbot’s intelligence by refining its AI model, improving contextual understanding, and enabling more precise recommendations based on user queries.

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