AI in CI/CD Guides: GitHub Actions, Review, and Cost Caps
Running AI agents in CI/CD needs non-interactive auth, cost caps, and least privilege. These guides cover GitHub Actions, AI code review, and version pinning. Below are all 7 guides on AI in CI/CD published on this site, newest first, each one a hands-on walkthrough with configuration you can copy.
All AI in CI/CD guides (7)
Install Qwen Code, fix the post-OAuth authentication mess, and see where Alibaba’s open-source terminal agent actually beats Claude Code. CI/CD recipe + 1M-context reality check.
Set up OpenAI Codex Security on GitHub end-to-end: connect a repo, edit the threat model, triage validated findings, ship patches as PRs. 74% TPR vs Semgrep 20% and Snyk 28% in independent testing.
Claude Code 2.1.120 added claude ultrareview as a non-interactive CLI subcommand. The OAuth token gotcha, a copy-pasteable GitHub Actions workflow, --json parsing with jq, and a cost control playbook.
After Anthropic’s April 2026 postmortem revealed three Claude Code regressions, here is the practitioner playbook: pin the CLI, lock effort, allowlist models, add a regression-detecting stop hook, keep fixtures.
Defend Claude Code workflows against the April 2026 Comment and Control CVE. Tool allowlists, OIDC via Bedrock, script caps, egress blocks, and a before/after hardened workflow.
Workflow YAML, false positive tuning, token cost math, and a layered pipeline with Semgrep and Snyk for Anthropic’s official security review action.
Install the ant CLI, create your first managed agent, and deploy it in under 10 minutes. YAML version control, scripting patterns, and CI/CD.
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