Ask HN: How can we make use of AI agents with existing GitLab CI/CD pipelines?
2 comments
im not affiliated nor did i dig in deep, but when i saw this tool the first time i thougt of a similar usecase.. zuul ci gatekeeper https://zuul-ci.org/docs/zuul/latest/about.html#about-zuul
Project gating.. https://zuul-ci.org/docs/zuul/latest/gating.html#project-gat...
Project gating.. https://zuul-ci.org/docs/zuul/latest/gating.html#project-gat...
But I think it is not using LLM agents, correct?
Replacing GitLab CI/CD with Agentic Workflows: Is this a reliable strategy? With GitLab, we can easily rerun a pipeline from the point of failure after fixing an issue. I am concerned that agentic workflows might lack this granular state management and retry capability.
Invoking GitLab CI/CD via Agents: In this scenario, the agent would trigger the GitLab API to start a pipeline or job. However, this seems to add more complexity than simply triggering them manually. How can I implement this efficiently?
Ultimately, my goal is to use agents to eliminate manual pre-pipeline preparation and to have them autonomously analyze and fix errors when a pipeline fails. Has anyone successfully implemented AI agents for this purpose?