What is AI SDLC
AI SDLC is a practical framework for using LLMs across the software development lifecycle: requirements, use cases, architecture, development, testing and documentation.
AI SDLC means AI Software Development Lifecycle. It is a model-driven way to build software with large language models. The platform keeps the project in clear artifacts instead of scattered chats: requirements, user stories, use cases, architecture, code-generation briefs, test cases and documentation.
The simple idea
Each artifact is created from the previous one. An idea becomes requirements. Requirements become use cases and architecture. Architecture becomes a clear brief for Cursor, Codex or Claude Code. Tests and documentation stay linked to the same chain.
- One source of truth for the project
- Traceability from idea to tests
- Human approval at every step
- Reverse engineering from existing code into current artifacts
- ✕Сложная двусторонняя синхронизация
- ✕Реинжиниринг почти невозможен
- ✕Высокий порог входа (метамодели)
- ✕Жёсткая привязка к платформам
- LLM синхронизирует код и модели
- Реинжиниринг legacy из коробки
- Работа на естественном языке
- Любой стек и целевая среда
AI SDLC is an AI development platform and methodology for structured software delivery. It helps teams generate requirements, use cases, architecture, prompts for code generation, tests and documentation with versioning and traceability.
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