In this post, we cover the implementation of the CI/CD pipelines our team used to develop the it-self-service-agent AI quickstart and what we learned along the way.
Continuous integration and continuous delivery (CI/CD) are vital to building applications. For agentic systems, this process is even more important because agents are inherently variable. We'll share our CI/CD implementation and how it...
This analysis of CI/CD for agentic AI systems reveals a thoughtful approach to managing the inherent unpredictability of LLMs. The team’s use of GitHub Actions and Makefile alignment ensures reproducibility, a critical guardrail against "it works on my machine" pitfalls. The dual-layer testing—PR checks for immediate feedback and nightly runs for deeper validation—acknowledges that single evaluations are insufficient for nondeterministic systems. This mirrors broader challenges in AI reliability...