Transition to AI SDLC
Teams can adopt AI SDLC on a new product, migrate an existing system or use a hybrid approach with new features first.
You do not need to rebuild the whole company process at once. AI SDLC can start from one project, one module or one role.
Three adoption paths
- 1New product: start with the AI SDLC artifact chain from day one
- 2Existing product: recover artifacts from code and documentation
- 3Hybrid adoption: use AI SDLC for new features while legacy is documented gradually
The safest path is to start with requirements and architecture artifacts. They improve the quality of prompts for Cursor, Codex and Claude Code and reduce rework after code generation.
Best first step
Pick one real feature and run it through idea, requirements, architecture, code-generation brief and tests. This shows value quickly without changing the whole process.
Ready to try AI SDLC?
Leave a request, and we will help choose the right set of modules for your project.