Solutions Engineers spend hours talking with clients, but much of that insight is lost in manual follow-up work. Sprintr turns conversations directly into real features, bridging discovery and delivery. It transcribes discussions, extracts requirements, creates user stories, and proposes GitHub issues that engineers can review before agents implement them and open pull requests.
Built as a multi-agent pipeline, Sprintr combines Whisper for transcription, Gemini for requirement extraction, You.com for context, Composio for issue management, Claude for implementation, and Lovable for the frontend experience. Unlike isolated code generators, Sprintr works within real projects, respecting existing structure and conventions.
We learned that orchestrating multiple AI tools can unlock new workflows on real codebases, and while building on existing projects is harder than starting from scratch, it’s far more valuable. Next, we aim to expand Sprintr to handle complex features, from APIs to deep architectural changes, all while integrating seamlessly into existing products.
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