How to move AI from code completion to agentic workflows
GitHub explains how teams can move beyond basic AI code completion and chat to agentic workflows that automate real engineering tasks. The video highlights an internal GitHub example that automates a documentation lifecycle across multiple repositories using an agentic workflow approach.
Overview
The video focuses on evolving AI usage in software teams from individual, ad-hoc assistance (code completion and chat) to repeatable, team-scale workflows where AI performs multi-step tasks.
It specifically calls out an internal GitHub example where an agentic workflow is used to automate a documentation lifecycle across repositories.
Links shared in the video description
- GitHub's Agentic Engineering System (AES): http://gh.io/aes-framework
- Automating cross-repo documentation with GitHub Agentic Workflows: https://github.blog/ai-and-ml/github-copilot/automating-cross-repo-documentation-with-github-agentic-workflows/