From OpenSpec to AIDLC: How I Improved My Team's AI Code Quality

Описание и применение

Перевод команды с OpenSpec на AIDLC улучшил качество кода, ускорил поиск ошибок и повысил совместную работу, внедрив структурированный жизненный цикл разработки и ролевая проверка кода.

Задача

AI coding increased speed but code quality remained low; OpenSpec’s Spec‑Driven Development (SDD) framework was too complex, lost original intent, lacked detail control, caused documentation drift, and hindered team collaboration.

Результат

Code quality rose significantly, bug resolution time dropped from days to hours, and team collaboration improved with clear role responsibilities and automated review gates.

Рабочий процесс

• 1. Adopt AIDLC phases: planning, requirements, design, development, testing, deployment, maintenance. 2. Map each phase to specific AIDLC commands and artifacts. 3. Enforce role‑based reviews: junior/mid‑level code must be approved by a senior. 4. Use dynamic workflows to trigger appropriate AI agents per phase. 5. Maintain up‑to‑date documentation by linking artifacts to source code. 6. Iterate on features in small, well‑defined chunks to balance speed and detail. 7. Review and merge changes through CI/CD gates before deployment.

Доказательства

OpenSpec just doesn't hold up for large, multi‑year projects

Источник

Amazon required code written by junior or mid‑level engineers to be reviewed by another role

Источник