How AI SDLC works
AI SDLC uses controlled transformations: every artifact has an input, a template, rules, context and validation criteria.
AI SDLC does not rely on a single vague prompt. It gives the LLM a structured task: what artifact to read, what artifact to create, what rules to follow, what project context to use and how to validate the result.
Five inputs of every transformation
- 1Input artifact: idea, requirement, architecture, code or documentation
- 2Output template: the exact structure of the expected artifact
- 3Conversion rules: how one artifact becomes the next one
- 4Project context: glossary, constraints, examples and business rules
- 5Validation rules: how the generated result is checked
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This makes AI generation repeatable. The LLM acts as a controlled transformation engine, while the user reviews and approves the result.
Why it matters
Good AI software development needs context, rules and validation. AI SDLC gives these inputs before code generation starts.
Ready to try AI SDLC?
Leave a request, and we will help choose the right set of modules for your project.