From Your Laptop to the Pipeline: Scaling Custom Agents with GitHub Copilot
This post details the practical steps and infrastructure required to scale custom AI agents from a local development environment to an organizational-wide CI pipeline. It introduces GitHub Agentic Workflows as a mechanism for running headless Copilot CLI agents within GitHub Actions, triggered by slash commands. The talk highlights the benefits of this approach for pipeline automation, including the ability to run hundreds of agents concurrently within a single repository and to implement agents that monitor and manage their own cost overruns. It also touches upon the underlying architecture of Copilot and the creation of custom agents using the agent builder, emphasizing the transition from local, single-developer agents to autonomous, pipeline-integrated agents.
More from the Software Factory Engineering trail
- Generation Is Cheap, Review Is Expensive: How to Stop Shipping AI Slop — Gabriel Martinez, G2i
- Let Anyone at Your Company Ship Internal Apps with AI — Garrett Galow, WorkOS
- The Software Factory: From Bug Report to Production Code — Davis Palmie, Factory
- Why AI Agents Should Have Their Own Sandbox — Philipp Schmid, Google DeepMind
- Redesigning How Software Gets Built With AI Agents — Sonar & McKinsey Panel