Collab Sphere

Your Dev Team’s New Favorite Teammate - Powered by AI, Driven by Code!

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Inspiration

Developer teams often struggle with scattered workflows - hopping between GitHub, meeting notes, and Slack threads just to stay on the same page. We imagined a future where your AI teammate listens, understands, and supports your dev journey, from meetings to commits. That vision became Collab-Sphere, an AI-powered collaboration tool that helps you code, communicate, and stay aligned without context-switching.

What it does

Collab-Sphere connects to your GitHub repository and enables real-time collaboration using AI. It summarizes meetings, answers code-related questions, embeds source code for deeper context, and even supports voice-based AI companions. With features like smart Q&A, commit monitoring, and a credit-based usage system, it enhances both individual focus and team productivity.

How we built it

We used Next.js 15, Tailwind CSS, tRPC, and Prisma for the core app. Authentication was handled by Clerk, and payments via Stripe. For AI capabilities, we integrated Gemini API for natural language processing, LangChain for orchestrating responses, Vapi AI, and AssemblyAI for real-time voice interactions and generating meeting summaries, respectively. We built frontend components using Lovable, especially after it became free mid-hackathon, and structured our system prompts using Bolt for rapid prototyping.

Challenges we ran into

Integrating multiple AI services while keeping latency low Managing context-aware responses from large source code embeddings Shifting between Bolt and Lovable meant restructuring flows midway Balancing real-time voice processing with system performance and token limits

Accomplishments that we're proud of

Built a full-stack, AI-integrated, voice-enabled MVP in just 48 hours Successfully managed real-time GitHub syncing and voice AI companions Designed a credit-based system with live tracking and Stripe billing Created a platform we genuinely want to keep building and using

What we learned

We learned how to efficiently integrate multi-modal AI services, balance frontend generation across vibe coding tools like Bolt and Lovable, and design a scalable architecture for AI-based developer tools. We also deepened our knowledge of LangChain workflows, speech synthesis, and source code embeddings for context-rich Q&A.

What's next for Collab Sphere

We plan to improve source code understanding by fine-tuning embeddings and introduce deeper integrations with dev workflows. We’re also exploring onboarding bots, real-time pair programming assistants, and turning Collab-Sphere into a SaaS platform for remote teams. And of course, we’ll continue vibing with AI to make collaboration seamless.

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