Inspiration: We were driven by the massive amount of engineering hours wasted manually triaging repetitive bug reports and stack traces.

How We Built It: We developed an autonomous backend service using Express and the official Google GenAI SDK, utilizing Gemini 3.5 to process code context and bug descriptions. The project was containerized with Docker and deployed directly onto Google Cloud Run for scalable execution.

Challenges Faced: Designing an efficient asynchronous payload handler that seamlessly translates complex code context into actionable patches without timing out required optimizing our API request flow.

What We Learned: We gained deep insights into deploying containerized agentic workflows on Google Cloud infrastructure and maximizing Gemini's reasoning capabilities for automated software maintenance.