Domain Knowledge Over Algorithms: The Real Secret to AI-Assisted Development

This article reveals that successful AI-assisted development depends not on algorithmic knowledge but on understanding real-world failure modes and production constraints. It challenges the conventional wisdom that precise specifications alone drive better AI output, demonstrating instead that domain expertise about how systems fail in practice is the critical prerequisite. For practitioners, this means the true bottleneck in AI-assisted development is not AI capability but human understanding of the problem space.