Building a human-in-the-loop AI agent for CI/CD failure recovery

📰 Dev.to AI

Learn to build a human-in-the-loop AI agent to automate CI/CD failure recovery, reducing diagnosis time from 20-40 minutes to near instant

intermediate Published 27 Apr 2026
Action Steps
  1. Build a pipeline watcher using Jenkins API to detect failures
  2. Run deterministic checks to identify the root cause of the failure
  3. Configure an LLM to provide potential fixes based on the failure analysis
  4. Test the AI agent with various failure scenarios to refine its accuracy
  5. Apply the AI agent to your CI/CD pipeline to automate failure recovery
Who Needs to Know This

DevOps teams and software engineers can benefit from this tool to streamline their CI/CD pipelines and reduce downtime

Key Insight

💡 Automating CI/CD failure recovery can save significant time and reduce downtime

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🚀 Automate CI/CD failure recovery with a human-in-the-loop AI agent! 🤖
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