CI/CD and Automation

Companion script: scripts/ci-check.sh --- CI configuration scanning, pipeline templates, and quality gate checklists.

bash ./scripts/ci-check.sh check                  # scan for CI config
bash ./scripts/ci-check.sh template gh-actions    # GitHub Actions workflow
bash ./scripts/ci-check.sh template gitlab-ci     # GitLab CI config
bash ./scripts/ci-check.sh gates                  # quality gate checklist

Overview

Automate quality gates so that no change reaches production without passing tests, lint, type checking, and build. CI/CD is the enforcement mechanism for every other skill --- it catches what humans and agents miss, and it does so consistently on every single change.

Shift Left: Catch problems as early in the pipeline as possible. A bug caught in linting costs minutes; the same bug caught in production costs hours. Move checks upstream --- static analysis before tests, tests before staging, staging before production.

Faster is Safer: Smaller batches and more frequent releases reduce risk, not increase it. A deployment with 3 changes is easier to debug than one with 30. Frequent releases build confidence in the release process itself.

When to Use

• Setting up a new project's CI pipeline
• Adding or modifying automated checks
• Configuring deployment pipelines
• When a change should trigger automated verification
• Debugging CI failures

The Quality Gate Pipeline

Every change goes through these gates before merge:

Pull Request Opened
    │
    ▼
┌─────────────────┐
│   LINT CHECK     │  eslint, prettier
│   v pass         │
│   TYPE CHECK     │  tsc --noEmit
│   v pass         │
│   UNIT TESTS     │  jest/vitest
│   v pass         │
│   BUILD          │  npm run build
│   v pass         │
│   INTEGRATION    │  API/DB tests
│   v pass         │
│   E2E (optional) │  Playwright/Cypress
│   v pass         │
│   SECURITY AUDIT │  npm audit
│   v pass         │
│   BUNDLE SIZE    │  bundlesize check
└─────────────────┘
    │
    ▼
  Ready for review

No gate can be skipped. If lint fails, fix lint --- don't disable the rule. If a test fails, fix the code --- don't skip the test.

GitHub Actions Configuration

Basic CI Pipeline

Load the CI pipeline template (L3): bash ./scripts/skill-toolset.sh resource ci-cd-and-automation references/ci-pipeline.yml

With Database Integration Tests

Load the extended pipeline with DB services (L3): bash ./scripts/skill-toolset.sh resource ci-cd-and-automation references/ci-database.yml

E2E Tests

Load the E2E test pipeline (L3): bash ./scripts/skill-toolset.sh resource ci-cd-and-automation references/ci-e2e.yml

Note: The database integration and E2E pipeline templates above are already available as L3 references.

Feeding CI Failures Back to Agents

The power of CI with AI agents is the feedback loop. When CI fails:

CI fails
    │
    ▼
Copy the failure output
    │
    ▼
Feed it to the agent:
"The CI pipeline failed with this error:
[paste specific error]
Fix the issue and verify locally before pushing again."
    │
    ▼
Agent fixes -> pushes -> CI runs again

Key patterns:

Lint failure -> Agent runs `npm run lint --fix` and commits
Type error  -> Agent reads the error location and fixes the type
Test failure -> Agent follows debugging-and-error-recovery skill
Build error -> Agent checks config and dependencies

Deployment Strategies

Preview Deployments

Load preview deployment config (L3): bash ./scripts/skill-toolset.sh resource ci-cd-and-automation references/preview-deploy.yml

Feature Flags

Feature flags decouple deployment from release. Deploy incomplete or risky features behind flags so you can:

• Ship code without enabling it. Merge to main early, enable when ready.
• Roll back without redeploying. Disable the flag instead of reverting code.
• Canary new features. Enable for 1% of users, then 10%, then 100%.
• Run A/B tests. Compare behavior with and without the feature.

// Simple feature flag pattern
if (featureFlags.isEnabled('new-checkout-flow', { userId })) {
  return renderNewCheckout();
}
return renderLegacyCheckout();

Flag lifecycle: Create -> Enable for testing -> Canary -> Full rollout -> Remove the flag and dead code. Flags that live forever become technical debt --- set a cleanup date when you create them.

Staged Rollouts

PR merged to main
    │
    ▼
  Staging deployment (auto)
    │ Manual verification
    ▼
  Production deployment (manual trigger or auto after staging)
    │
    ▼
  Monitor for errors (15-minute window)
    │
    ├── Errors detected -> Rollback
    └── Clean -> Done

Rollback Plan

Load rollback workflow (L3): bash ./scripts/skill-toolset.sh resource ci-cd-and-automation references/rollback.yml

Environment Management

.env.example       -> Committed (template for developers)
.env                -> NOT committed (local development)
.env.test           -> Committed (test environment, no real secrets)
CI secrets          -> Stored in GitHub Secrets / vault
Production secrets  -> Stored in deployment platform / vault

CI should never have production secrets. Use separate secrets for CI testing.

Automation Beyond CI

Dependabot / Renovate

Load Dependabot config (L3): bash ./scripts/skill-toolset.sh resource ci-cd-and-automation references/dependabot.yml

Build Cop Role

Designate someone responsible for keeping CI green. When the build breaks, the Build Cop's job is to fix or revert --- not the person whose change caused the break. This prevents broken builds from accumulating while everyone assumes someone else will fix it.

PR Checks

• Required reviews: At least 1 approval before merge
• Required status checks: CI must pass before merge
• Branch protection: No force-pushes to main
• Auto-merge: If all checks pass and approved, merge automatically

CI Optimization

When the pipeline exceeds 10 minutes, apply these strategies in order of impact:

Slow CI pipeline?
├── Cache dependencies
│   └── Use actions/cache or setup-node cache option for node_modules
├── Run jobs in parallel
│   └── Split lint, typecheck, test, build into separate parallel jobs
├── Only run what changed
│   └── Use path filters to skip unrelated jobs (e.g., skip e2e for docs-only PRs)
├── Use matrix builds
│   └── Shard test suites across multiple runners
├── Optimize the test suite
│   └── Remove slow tests from the critical path, run them on a schedule instead
└── Use larger runners
    └── GitHub-hosted larger runners or self-hosted for CPU-heavy builds

Example: caching and parallelism

Load the parallel CI jobs example (L3): bash ./scripts/skill-toolset.sh resource ci-cd-and-automation references/ci-parallel.yml

Presentation

`★ CI/CD View ────────────────────────────────────`
- [Pipeline name] --- [status]
- [Top finding or recommendation]
`─────────────────────────────────────────────────`

Common Rationalizations

Red Flags

• No CI pipeline in the project
• CI failures ignored or silenced
• Tests disabled in CI to make the pipeline pass
• Production deploys without staging verification
• No rollback mechanism
• Secrets stored in code or CI config files (not secrets manager)
• Long CI times with no optimization effort

Verification

After setting up or modifying CI:

• All quality gates are present (lint, types, tests, build, audit)
• Pipeline runs on every PR and push to main
• Failures block merge (branch protection configured)
• CI results feed back into the development loop
• Secrets are stored in the secrets manager, not in code
• Deployment has a rollback mechanism
• Pipeline runs in under 10 minutes for the test suite

Source: B67687/agentic-workflows — distributed by TomeVault.