How this startup uses AI agents to eliminate bugs and optimize infrastructure
Claire Vo and Anker Goyel discuss how AI agents are transforming software engineering, particularly for complex infrastructure and database optimization. Goyel highlights the importance of rigorous evals as a modern approach to product requirements and quality, emphasizing a shift to a "maker schedule" by leveraging agents for tedious tasks and even "quantifying taste" to scale design quality. The conversation also touches on achieving backlog zero and the critical role of continuous integration in an AI-driven development environment.
- AI agents are solving deep technical challenges like database query optimization by exhaustively trying different column store formats and execution engines, a task impractical for humans. Read →
- AI agents eliminate excuses for product backlogs. Anker Goyel states, "there's just no excuse to not have rigor... we don't really have a backlog," meaning every "paper cut" or performance issue gets addressed immediately. Read →
- Machine learning fundamentally changes programming from defining how to build something, to defining what the successful outcome looks like. Read →
- Re-evaluate your time now: Anker Goyel argues many daily interactions, directions, and decisions made by engineers (and founders) fall "below the agent line" and can be delegated to AI. This isn't theoretical; it's a call to audit your current workload. Read →