ci-cd-and-automation

CI/CD and Automation

Overview

Pipelines enforce quality automatically: catch issues early (shift left), ship in small batches, and use feature flags for safe release. When CI fails on a branch, iterate with gh pr checks as the source of truth—not GitHub Actions list alone.

When to Use

• Designing or changing build/deploy pipelines
• Adding quality gates or automated checks
• Watching or fixing CI on the current branch or PR

Core principles

Shift left: lint/format pre-commit, typecheck before push, unit tests on push, integration tests on PR, security scans on main.

Faster is safer: automate deploys, make rollbacks trivial, auto-deploy staging on merge.

Feature flags: incomplete features, gradual rollout, kill switches, environment-specific behavior.

Quality gate order (fastest-failing first): lint → typecheck → unit tests → build → integration → security → staging deploy → smoke → production.

Pipeline design process

1. List required checks and order fastest-failing-first with clear pass/fail criteria.
2. Keep lint/typecheck under ~30s and unit tests under ~2 minutes where possible.
3. Automate staging on merge; production with approval or policy.
4. Track success rate and mean time to recovery; alert on blocked merges.

CI failure iteration

Use when checks are pending, failing, or you need to drive a branch to green.

gh pr view --json number,url,headRefName
gh pr checks --json name,bucket,state,workflow,link
gh pr checks --watch --fail-fast          # when pending
gh run view <run-id> --log-failed        # when GHA job failed

Workflow:

1. Resolve the active PR and inspect the full check set.
2. If already failed, diagnose the first actionable error (logs or check link).
3. If pending, watch with fail-fast.
4. Apply the smallest safe fix for one failure at a time.
5. Push, re-run gh pr checks, repeat until green.

Guardrails:

• One failure cause per fix when possible; no --no-verify.
• If failure is unrelated and fixed on main, merge main instead of bloating the PR.
• Retry flaky checks once and record flake evidence.
• Re-check after every push—the check set can change.

Output: current status, root error, fixes applied in order, PR URL when green.

Anti-Rationalization

Excuse	Counter
"The pipeline can be fixed later"	Broken pipelines get bypassed.
"Full automation is too much work"	Manual deploy is slower and error-prone.
"Feature flags add complexity"	They prevent uncontrolled release risk.
"We don't need staging"	Staging catches environment-specific failures.
"The pipeline is fast enough"	Slow feedback discourages small commits.

Verification

• Pipeline runs on every push and PR
• Fastest checks run first
• Deploy and rollback paths are automated and tested
• CI iteration uses gh pr checks as authority