AI SDLC
StoriesJune 20, 2026· 8 min· 5 180

Story: how a startup shipped an MVP in 3 weeks

A three-person team moved from idea to working product in 21 days by generating requirements, architecture, code prompts, tests and docs as one flow.

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The startup needed a working product for investors, not just slides. The old estimate was four months. With AI SDLC, the team shipped a product-quality MVP in three weeks.

Week 1: requirements and architecture

The founder described the target audience and core scenarios. AI SDLC generated requirements, user stories, use cases and non-functional requirements. Two payment-flow conflicts were found before development started.

Week 2: code and tests

The approved architecture became a specification and prompt package for code generation. Developers focused on integration and business logic, while tests were generated with traceability.

Классическая разработка100%
С AI SDLC (ручные операции)15%
×3-10
рост продуктивности
Доля ручных трудозатрат и кратный рост продуктивности

Week 3: documentation and pitch

Documentation, API specs and diagrams were generated from the model. Investors saw not a fragile demo, but a product base that could be scaled.

Result

MVP in 3 weeks instead of 4 months, with architecture, tests and documentation from day one.

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Кейс: как стартап выкатил MVP за 3 недели / Story: how a startup shipped an MVP in 3 weeks, AI SDLC