Spec-driven development: Unpacking one key new AI-assisted engineering practices (www.thoughtworks.com)

Spec-driven development (SDD) is emerging as a significant practice in 2025, focusing on the use of detailed software requirement specifications as prompts for AI-assisted coding. This paradigm shift highlights how rapidly software engineering is evolving alongside advancements in AI tools, particularly in the context of generative AI's capability to improve code generation from well-defined requirements. The ongoing debate within the community reflects differing views on the role of specifications—some advocate treating specifications as the primary source of truth, while others believe that executable code should remain paramount. This development has far-reaching implications, particularly as the industry grapples with the integration of AI into traditional workflows. SDD emphasizes the need for structured specifications that define software behavior beyond just business requirements, helping mitigate issues like model hallucinations. While it may seem reminiscent of waterfall methodologies, proponents argue that SDD introduces more effective feedback loops and governance than previous approaches, aiming to combine rigorous requirements analysis with the benefits of AI-assisted design and implementation. As SDD gains traction, its evolution will likely shape the future of AI/ML applications in software development, prompting ongoing discussions about its methodologies and the role of specifications versus code.