What Is CI/CD?

By FayUpdated Jul 10, 2026EVERGREEN

⚡ THE ANSWER

CI/CD stands for continuous integration and continuous delivery — or deployment — an automated pipeline that builds, tests, and ships code changes to a website. Continuous integration merges developers' changes frequently and runs automated tests on each, catching bugs early. Continuous delivery then packages every passing change and readies it for release, while continuous deployment pushes it live automatically. Together they replace risky, manual updates with a repeatable, safer process. Tools like GitHub Actions, GitLab CI, and Jenkins run these pipelines, letting teams ship small updates confidently and often.

CI: Continuous Integration — frequently merge and automatically test code changes
CD: Continuous Delivery or Deployment — automate the release of tested changes
Core benefit: Catches bugs early and reduces risky manual deploys (Google DORA research)
Common tools: GitHub Actions, GitLab CI/CD, Jenkins, and CircleCI
Configuration: Pipelines are defined as code, usually in YAML files in the repository
Trigger: Runs automatically on each commit or pull request (Martin Fowler, Continuous Integration)

What CI/CD means #

CI/CD is a set of practices that automate how code moves from a developer's keyboard to a live website or application. The letters stand for continuous integration and continuous delivery, with continuous deployment as a stricter variant of the second. The core idea is to replace slow, manual, error-prone release steps with an automated pipeline that builds the code, runs tests against it, and ships the result whenever a change is made. Instead of a nerve-wracking, occasional big-bang release, teams push small changes frequently, each verified automatically before it goes anywhere near production. This makes updates faster, safer, and far less dramatic. CI/CD is a foundation of modern software development and a major reason well-run teams can improve a site continuously without breaking it. It underpins the disciplined delivery behind our /services/web-app-development work and the reliable ongoing updates described on our /services/care-plans page, where changes reach live sites through automation rather than manual, hopeful uploads.

Continuous integration explained #

Continuous integration, the CI in CI/CD, is the practice of merging developers' code changes into a shared repository frequently — often several times a day — and automatically testing each merge. In the days before CI, developers would work in isolation for weeks and then attempt to combine their code all at once, a painful process that surfaced conflicts and bugs late, when they were expensive to fix. Continuous integration flips this: by integrating small changes constantly and running an automated test suite on every one, problems are caught within minutes of being introduced, while the change is small and fresh in the developer's mind. If the tests fail, the team knows immediately and fixes it before it compounds. This keeps the shared codebase in a working state almost all the time. The discipline of frequent integration plus automated testing is what makes rapid, confident development possible, and it is a standard part of how software is built responsibly in the projects on our /services/web-app-development page.

Continuous delivery versus deployment #

The CD half of CI/CD has two related meanings that are worth separating clearly. Continuous delivery means that every change which passes the automated tests is automatically built and prepared so it could be released to production at any moment — but the final push to live is triggered by a human clicking a button. This keeps the code always in a deployable state while retaining a deliberate go-live decision. Continuous deployment goes one step further and removes even that manual gate: once a change passes all tests, it is automatically pushed to production with no human intervention at all. Deployment is faster and suits mature teams with strong test coverage; delivery is more cautious and common where a human sign-off is preferred before customers see a change. Both eliminate the risky, manual, hand-uploaded release, and either is a huge improvement over ad-hoc updates. Choosing the right level of automation for a business's risk tolerance is part of the release strategy we set up on our /services/web-app-development engagements.

A simple CI pipeline #

Pipelines are defined as code; here is a minimal GitHub Actions workflow that installs, tests, and builds on each push.

Example

name: CI
on: [push, pull_request]
jobs:
  build-and-test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: 20
      - run: npm install
      - run: npm test
      - run: npm run build

Why CI/CD reduces risk #

It might seem counterintuitive that deploying more often makes a site safer, but that is exactly what CI/CD achieves, and industry research such as Google's DORA program consistently links these practices to more stable, reliable software. The reason is batch size. When you release rarely, each release bundles a huge number of changes, so if something breaks, finding the culprit among all those changes is slow and stressful. When you release small changes frequently through an automated pipeline, each release contains little, so if a problem appears, the cause is obvious and the fix or rollback is quick. Automated tests catch many bugs before they ever reach production, and consistent, scripted deployments remove the human errors that plague manual uploads. The result is fewer outages, faster recovery when issues do occur, and far less fear around shipping. This safety is why frequent, automated updates sit at the heart of responsible site maintenance, including the ongoing care our /services/care-plans and /services/website-security teams provide to keep sites current and secure.

Testing in the pipeline #

Automated testing is the engine that makes CI/CD safe, because without it, all a pipeline does is deploy unverified code faster. A good pipeline runs several layers of tests on each change. Unit tests check individual pieces of code in isolation and run in seconds. Integration tests verify that parts of the system work together, such as the application talking to its database. End-to-end tests simulate a real user clicking through key journeys like signing up or checking out, catching breakages that unit tests miss. The pipeline can also run security scans for known vulnerabilities and checks on code style and performance budgets. If any required check fails, the pipeline stops and the change is blocked from progressing, so broken code never reaches customers. The quality of a CI/CD setup is largely the quality of its tests; a pipeline with weak tests gives false confidence. Building meaningful test coverage alongside the pipeline is essential, and it is part of the engineering rigor behind the applications on our /services/web-app-development page.

Common tools #

A range of tools run CI/CD pipelines, and most work in similar ways: you write a configuration file describing the steps, and the tool executes them automatically when code changes. GitHub Actions is extremely popular because it lives right inside GitHub repositories, so the pipeline sits next to the code with no separate service to configure. GitLab CI/CD offers the same tight integration for teams using GitLab. Jenkins is a long-established, highly flexible open-source server that can be self-hosted and customized heavily, favored by organizations wanting full control. CircleCI, Travis CI, and cloud-provider pipelines fill out the field. The right choice usually follows where your code already lives and how much customization you need, rather than any single tool being best. What matters more than the brand is that a pipeline exists and is well configured, so changes are tested and deployed consistently. Selecting and setting up the appropriate tooling for a client's stack is a routine part of the delivery process behind our /services/web-app-development work.

CI/CD for small websites #

CI/CD is not only for large engineering teams; even a small business site benefits from a lightweight version of it. If your site is a static site or a modern build hosted on a platform that deploys automatically when you push to a Git repository, you are already using a simple CI/CD flow, often without realizing it. For a WordPress site, the equivalent good practice is having a staging environment where changes are tested before they reach the live site, plus reliable, automated deployment rather than editing files directly on the production server, which is how sites get broken. The core principles — test before you ship, deploy consistently, keep changes small — scale down to any project and prevent the classic disaster of a hurried manual change taking a live site offline. Setting up even a modest, safe deployment process is one of the higher-value maintenance improvements a business can make, and it is part of what our /services/care-plans and /services/speed-optimization teams put in place.

Getting started with a pipeline #

Introducing CI/CD to a project does not have to be an all-at-once transformation; it works best incrementally. A sensible first step is simply automating the build and a basic set of tests to run on every change, so the team gains fast feedback and stops shipping obviously broken code. From there, you add a staging environment and automated deployment to it, so changes are always tried in a production-like setting before going live. Once confidence grows and test coverage improves, you can automate deployment to production itself, choosing continuous delivery with a manual gate or full continuous deployment based on your risk tolerance. Each step reduces manual effort and risk. The investment pays off in fewer outages, faster and calmer releases, and more time spent building features instead of fighting fires. If you are commissioning a custom application or want to modernize how updates reach your existing site, we can design an appropriate pipeline for your needs; reach out through /contact or start with a review at /free-website-audit.

FAQ

What does CI/CD stand for?

CI/CD stands for continuous integration and continuous delivery, with continuous deployment as a stricter version of the second term. Continuous integration means merging and automatically testing code changes frequently. Continuous delivery means keeping every tested change ready to release, and continuous deployment means automatically pushing tested changes live without manual intervention. Together they automate building, testing, and shipping software.

What is the difference between continuous delivery and deployment?

Both automate the release process after tests pass, but continuous delivery keeps a manual gate — a human clicks to push the change live — while continuous deployment removes that gate and releases automatically once tests pass. Delivery suits teams wanting a final human sign-off; deployment suits mature teams with strong test coverage who want fully automated, hands-off releases to production.

Do small websites need CI/CD?

They benefit from a lightweight version. Static sites on modern hosts often deploy automatically from Git, which is CI/CD in practice. For WordPress, the equivalent is a staging environment and reliable deployment instead of editing live files. The principles — test before shipping, deploy consistently, keep changes small — prevent hurried manual edits from breaking a live site.

Why does deploying more often make a site safer?

Because each release contains fewer changes. Frequent small releases make it easy to spot and fix or roll back a problem, since little changed. Rare, large releases bundle many changes, so tracking down a break is slow and stressful. Combined with automated tests catching bugs early, frequent deployment through a pipeline reduces outages and speeds recovery.

What tools run CI/CD pipelines?

Popular options include GitHub Actions and GitLab CI/CD, which integrate directly with those code repositories, plus Jenkins, a flexible self-hosted server, and CircleCI. Most work the same way: you write a configuration file describing build, test, and deploy steps, and the tool runs them automatically on each change. The best choice usually follows where your code already lives.

Are tests required for CI/CD?

Effectively yes. Without automated tests, a pipeline just deploys unverified code faster, which is dangerous. Tests are what make CI/CD safe: they catch bugs before code reaches production. A good pipeline runs unit, integration, and end-to-end tests, plus security scans. The value of CI/CD is closely tied to the quality and coverage of the tests it runs.

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