CI/CD

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

Shift left: catch problems as early as possible. A bug caught in lint costs minutes; the same bug in production costs hours. Move checks upstream — static analysis before tests, tests before staging, staging before production.

Faster is safer: smaller batches, more frequent releases. A deployment with 3 changes is easier to debug than one with 30.

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 PR passes these gates before merge:

PR opened
  │
  ▼
LINT          eslint, prettier (or language equivalents)
  │ pass
  ▼
TYPECHECK     tsc --noEmit (or equivalent)
  │ pass
  ▼
UNIT TESTS    jest/vitest/pytest
  │ pass
  ▼
BUILD         npm run build (catches build-time errors lint misses)
  │ pass
  ▼
INTEGRATION   API + DB tests (if applicable)
  │ pass
  ▼
E2E (opt)     Playwright/Cypress (slowest, run on main paths only)
  │ pass
  ▼
SECURITY      deps-audit / npm audit
  │ pass
  ▼
BUNDLE SIZE   bundlesize check (frontend projects)
  │ pass
  ▼
MERGE OK

Each gate is independent and parallel where possible. Fail-fast: stop the pipeline on the first failure, but report all results when running parallel jobs.

Platform mapping

Use case	Platform	Notes
Open source / personal projects	GitHub Actions	Free for public repos; fast onboarding
Work projects with self-hosted infra	Buildkite	Hybrid hosted/self-hosted agents; better for monorepos
GitLab projects	GitLab CI	Native integration with merge requests
Multi-cloud / vendor-neutral	CircleCI, Drone	Less common in 2026

This skill assumes GitHub Actions for personal projects and Buildkite for work projects. Other platforms have equivalent concepts.

GitHub Actions starter

For a typical Node/TS project, a single .github/workflows/ci.yml:

name: CI
on:
  pull_request:
  push:
    branches: [main]

jobs:
  ci:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version-file: '.tool-versions'
          cache: npm
      - run: npm ci
      - run: npm run lint
      - run: npm run typecheck
      - run: npm test -- --coverage
      - run: npm run build
      - run: npm audit --audit-level=high

Match the gates to what validate-code runs locally. Parity between local and CI is the goal — fewer "works on my machine" moments.

Buildkite starter

For a work project with self-hosted agents:

steps:
  - label: ":lint:"
    command: npm run lint
  - label: ":typescript:"
    command: npm run typecheck
  - label: ":test_tube:"
    command: npm test -- --coverage
  - label: ":hammer:"
    command: npm run build
  - wait
  - label: ":shipit:"
    branches: main
    command: ./scripts/deploy.sh

Use parallel steps for lint/typecheck/tests, then wait before deploy.

Caching

Cache aggressively — caching is the cheapest CI optimization:

• node_modules — keyed by package-lock.json hash
• Build artifacts between jobs — pass via actions/upload-artifact or Buildkite artifacts
• Test results for affected-tests-only runs (Turbo, Nx, custom)

Bad cache > no cache: validate cache keys include all inputs (lock file + Node version + OS).

Deployment strategies

Strategy	When
Blue/green	Zero-downtime releases, easy rollback (cost: 2x infra during deploy)
Canary	Gradual rollout, observe metrics, abort if regression
Rolling	Default for most apps, slow incremental replacement
Feature flags	Decouple deploy from release; ship dark, enable later

For solo / small projects: simple rolling deploy + feature flags is usually enough.

Rules

• Lint, typecheck, tests, build, security audit — all required to merge
• Local validation (validate-code) must match CI gates — no "passes locally, fails in CI"
• Fail fast on the first error in critical paths; run independent gates in parallel
• Cache dependencies aggressively; invalidate carefully (lock file + Node version + OS in key)
• Never auto-merge without all gates passing
• Never disable a gate to ship faster — fix the underlying issue or quarantine the test
• Deployments are atomic and reversible — every release has a rollback path

Debugging CI failures

Process:

1. Reproduce locally if possible (validate-code matches CI gates)
2. Read the failing step's logs end-to-end — don't skim
3. Compare against the last passing run for the same gate (CI logs preserve history)
4. Hypothesize: env difference, race condition, flaky test, dep update
5. Fix or quarantine — never skip silently
6. Add a regression test if the failure was a real bug

Red flags

• Same test fails intermittently — flaky test, quarantine and fix root cause
• CI passes but production breaks — gates don't reflect production constraints
• Long CI runs (>15min) — split, parallelize, cache
• Builds rerun from scratch every time — caching not configured
• Auto-merge enabled with weak gates — recipe for regressions
• "Skip CI" used routinely — gates too painful or too noisy; fix the gates

Verification

After setting up or modifying a pipeline:

• All gates from the local validate-code skill are present in CI
• Average run time < 10 minutes for typical PR
• Caching cuts cold-start vs warm-start by >50%
• Failed gates produce actionable error messages with file:line refs
• Rollback path documented and tested