DevOps & CI/CD – AI in the Pipeline
Introduction AI can help you write CI/CD pipelines and infrastructure as code, but it often misses security, rollback, and state management. This post covers five common mistakes when using AI for ...
Source: DEV Community
Introduction AI can help you write CI/CD pipelines and infrastructure as code, but it often misses security, rollback, and state management. This post covers five common mistakes when using AI for DevOps and how to build robust pipelines. Mistake 1: AI‑Generated Pipeline Without Security Scanning Description: CI/CD pipeline generated without SAST, DAST, or dependency scanning. Realistic Scenario: AI generates GitHub Actions workflow that builds and tests but skips security checks. ❌ Wrong Prompt: Generate CI pipeline for Java project ⚠️ Why it is wrong: No security scanning, vulnerabilities introduced without detection. ✅ Better Prompt: Generate GitHub Actions CI pipeline with security stages: Stages: Build & unit tests (mvn test) Static analysis (SonarQube with quality gates) Dependency scanning (OWASP Dependency Check) SAST (Semgrep or CodeQL) Container scanning (Trivy on Docker image) Integration tests (with testcontainers) Upload artifacts with SBOM (CycloneDX) Fail pipeline if
