Agentic CI/CD: from Pull Request to Production without the Paper Cuts
summary
Shows a concrete pipeline that runs LLM code review as an immediate first pass with Copilot Code Review, uses Semgrep Assistant and CodeQL Autofix for automated remediation, and orchestrates specialist agents via LangGraph/AutoGen to triage, rerun only relevant tests, and produce a merge confidence score. Demonstrates a real example where predictive test selection cuts test time ~30%, explains the human‑approval gate and how swarm‑style agents auto‑remediate or escalate.
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chapters (13)
- 0:00Evolution of CI CD Pipelines
- 2:29Challenges in CI/CD Development
- 4:01Advancing CI/CD Workflow
- 5:32Join us for GitNation Conferences
- 6:06Introducing Agentic Workflow
- 7:50Evolution to Autonomous CI/CD
- 8:42Enhancing CI/CD Workflows
- 9:48Agentic Workflow
- 12:01Advanced Agent Workflow
- 14:09Advanced Workflow Optimization
- 16:05Optimizing Agent Orchestration
- 18:18Intelligent Gatekeeper Design
- 19:32Evolution to Self-Adaptive Pipeline
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