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CI/CD Pipelines Explained: What They Are and Why Your Team Probably Needs One

Continuous Integration and Continuous Deployment are the industry standard for shipping software. Here's what they actually do, why they matter, and how to think about implementing one.

PSBy Priya Shah ยท Senior Software EngineerJanuary 6, 2026Updated February 18, 20267 min read
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Frequently Asked Questions

What is the difference between CI and CD?+
CI (Continuous Integration) is the practice of automatically building and testing code whenever changes are pushed to a shared repository. The goal is to detect integration problems early โ€” before a branch has diverged too far to merge cleanly, and before broken code reaches teammates. CD has two interpretations: Continuous Delivery means code is always in a deployable state and deployment is automated but may require manual approval. Continuous Deployment means every change that passes tests is automatically deployed to production without manual intervention. Most teams practice CI and Continuous Delivery. Fully automated Continuous Deployment is less common and requires high confidence in automated testing.
What should a CI pipeline include?+
A minimal CI pipeline for a web application: dependency installation (npm ci, pip install), linting (ESLint, Flake8), type checking (tsc --noEmit for TypeScript), unit tests, integration tests if applicable, and build (to verify the build doesn't fail). More mature pipelines add: security scanning (dependency vulnerability checks like npm audit), code coverage thresholds, end-to-end tests (Cypress, Playwright), Docker build to verify the container builds, and performance budgets. The goal is catching any change that would break the application or degrade quality before it's merged to the main branch.
What is a deployment strategy and which should I use?+
Deployment strategies control how new code is released to users. Blue-green deployment runs two identical production environments โ€” traffic switches between them during deployments, enabling instant rollback. Rolling deployment gradually replaces old instances with new ones over time. Canary deployment routes a small percentage of traffic to the new version first, monitoring for problems before full rollout. Feature flags decouple deployment from release โ€” code ships to all users but features are toggled on for specific users or percentages. For most teams, rolling deployments via Docker/Kubernetes with feature flags for riskier changes is a practical starting point. Blue-green adds infrastructure cost but makes rollback trivial.

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Priya Shah

Senior Software Engineer ยท 9+ years experience

Priya has nine years of experience building distributed systems and developer tooling at two B2B SaaS companies. She writes about APIs, JSON/JWT workflows, regex, DevOps, and the small utilities that make debugging faster at 2am.

View all posts by Priya Shah โ†’

Tags:

ci-cddevopsdeploymentautomation