Revolutionizing Technical Documentation with AI

The Challenge: Maintaining accurate and comprehensive technical documentation is a common struggle in software development. For Netive VMS, the documentation was often scattered across different tools, inconsistent, and lagged behind the fast pace of development. New team members found it difficult to get up to speed, and the manual effort required to keep documentation in sync with Jira user stories and code changes drained valuable time and resources.

The Solution: SevenLab designed and implemented a sophisticated AI agent that acts as a bridge between development activities in Jira and up‑to‑date technical documentation. The agent automatically reads and interprets Jira tickets, user stories, code commits, and comments. Using this information, it generates well‑structured documentation that can be published in Confluence or Markdown. The generated docs include direct links back to the original Jira items, maintaining context and traceability.

Results and Impact: The AI documentation agent has transformed how Netive VMS handles technical documentation. Documentation is now always up to date without manual work, ensuring a uniform structure and style. New team members can onboard more quickly, and developers spend less time writing documentation. By reducing the administrative burden and keeping knowledge current, Netive VMS has seen faster knowledge transfer and improved productivity.