Spec-driven development enables enterprise AI coding

Autonomous AI agents are revolutionizing software development, compressing timelines from weeks to days. Enterprises scaling these agents safely are adopting spec-driven development, a methodology where detailed specifications guide AI before any code is written. This approach ensures code quality and trustworthiness by defining system behavior and correctness criteria upfront. Spec-driven development acts as a trust model, enabling verifiable testing and continuous autonomous development through automated correctness engines. This shift allows for more complex problem-solving and faster feature delivery, with teams like Kiro IDE demonstrating significant time savings and efficiency gains.