AI coding assistants can produce code quickly, but speed does not replace clear requirements and architecture. SpecKit turns an initial idea into a specification, an implementation plan and a visible set of tasks. The workshop shows how this structure helps keep research prototypes and applied software understandable while they evolve.
AI coding assistants can produce code quickly, but speed does not remove the need for requirements and architecture. SpecKit brings structure into AI-assisted software development by starting with a specification, turning it into an implementation plan and keeping the resulting tasks visible.
The workshop shows how I use this approach for research prototypes and applied software. Its lasting value comes from making requirements, assumptions and implementation decisions explicit before the code begins to spread through a repository.
Links
- Workshop material: Recording and practical notes from the SpecKit workshop.