Developing and Integrating a Documentation AI Agent into Engineering Workflows
- Presentation
- AI & Automation in Technical Communication
- 03. June
- 02:00 PM - 02:40 PM
- E.11 Training Room
- finished
-
Anna Goncharova
- inDrive
Contents
Engineering teams struggle to balance documentation quality with development velocity. Manual processes create bottlenecks, while outdated content leads to knowledge gaps. This presentation explores developing an AI agent that integrates into existing engineering workflows.
The talk covers building and deploying an AI documentation agent within the software development lifecycle. From concept to production, attendees see how the agent connects with version control, responds to code changes, and produces consistent output.
Attendees learn technical foundations including LLM API integration, event-driven architecture, and CI/CD automation with GitHub Actions. The talk addresses implementation challenges such as authentication, error recovery, and output quality control.
The presentation emphasizes practical integration patterns that complement engineering workflows. Participants gain actionable knowledge for building and deploying AI agents in their organizations.
Takeaways
Attendees gain a practical roadmap for building a documentation AI agent that integrate into engineering workflows: from architecture decisions and LLM integration to production deployment and quality validation.