CI/CD (continuous integration and continuous delivery) is a software development practice that automates how teams build, test, and ship code. It combines two stages: continuous integration merges and tests new code changes, and continuous delivery prepares those changes for release. Together they take code from commit to production in minutes instead of weeks.
What is CI/CD?
CI/CD is the engine behind modern software delivery. It's the set of automated steps that take a developer's commit and move it through build, test, and release without anyone manually clicking through each stage.
The two letters cover two distinct practices that work together. Continuous integration (CI) is about merging code from multiple developers into a shared branch and verifying each change with automated builds and tests. Continuous delivery (CD) is about taking that verified code and getting it ready for release, so the team can ship at any time. The "delivery" part can also mean continuous deployment, where every change that passes tests goes straight to production with no human approval.
The reason CI/CD exists is that releasing software used to be slow, manual, and risky. Engineering teams would batch changes for weeks, integrate them in painful merge marathons, run a few manual tests, and hope nothing broke in production. CI/CD breaks that into small, automated cycles. Every change is tested as soon as it's written, and every release is one push of a button (or no button at all). The cost of getting something wrong drops, and the speed of getting something right goes up.
Most teams start with continuous integration first because it's the foundation. Once builds are reliable and tests are trustworthy, continuous delivery follows naturally. The full pipeline (commit, build, test, package, deploy) is what people usually mean when they say "CI/CD pipeline." For the deeper view of each half, see our continuous integration guide and continuous delivery guide.
How does CI/CD work?
A CI/CD pipeline is a sequence of automated stages that runs every time a developer pushes code or opens a pull request. Each stage acts as a quality gate. If a stage fails, the pipeline stops and the team gets notified before the change reaches the next step.
The five core stages are:
- Source. A developer commits code or opens a pull request. The CI/CD system picks up the change and triggers a pipeline run.
- Build. The system compiles the code, resolves dependencies, and produces a build artifact. For some projects this is a binary, for others it's a container image or a packaged bundle.
- Test. Automated tests run against the build. Unit tests come first because they're fast. Integration tests, security scans, and end-to-end tests follow. The principle is to fail cheaply: cheap, quick checks run before expensive, slow ones. For the broader practice of running tests at every stage of the pipeline rather than as a final gate, see our continuous testing guide
- Deploy. The artifact is deployed to a staging or production-like environment. Some pipelines deploy automatically. Others stage the build and wait for an approver.
- Monitor. Logs, metrics, and alerts confirm the release is healthy. Failed releases trigger automated rollbacks where possible.
Pipelines are usually defined as code, in a YAML configuration file that lives alongside the application. This means the pipeline is version-controlled, reviewable in pull requests, and reproducible across teams.
The line between continuous delivery and continuous deployment runs through stage 4. In continuous delivery, the deployment to production is gated by a manual approval. In continuous deployment, that gate is removed and every successful build ships. Teams pick one based on their tolerance for risk and their confidence in their test coverage. For teams that want speed and control, release management practices like feature flags and phased rollouts sit on top of the pipeline.
Why CI/CD matters
CI/CD changes the economics of shipping software. The benefits are real, but the underlying shift is from "release as event" to "release as routine."
Faster feedback, fewer bugs. Every change is tested within minutes of being written. Bugs that would have hidden for weeks in a long-running branch get caught the same day they're introduced. The cost of fixing a bug is roughly proportional to how long it lives, so catching things early is the cheapest debugging anyone can do.
Smaller releases, lower risk. When you ship every commit, each release contains less change. Less change means less risk. If something does go wrong, the surface area to investigate is small. Compare that to a quarterly release with 2,000 commits, where a regression could come from anywhere.
Less time on manual work. Teams without CI/CD spend a lot of human time on tasks that machines should do: copying artifacts between environments, running test suites by hand, signing builds, uploading binaries. Automating that work frees engineers to focus on the parts of the job that actually need human judgement.
Confidence to refactor. Teams that trust their pipeline ship more aggressively. They refactor without fear, try new architectures, and respond to user feedback faster. Teams that don't trust their pipeline ship defensively. The codebase ages and gets harder to change.
Shared ownership. When everyone's code goes through the same pipeline, everyone is accountable for the same quality bar. The pipeline becomes a shared artifact, not a black box owned by one team. That changes how engineers think about each other's work.
CI/CD best practices
CI/CD only works if the pipeline is reliable. A flaky, slow, or opaque pipeline trains developers to ignore it. Five practices keep pipelines healthy.
Keep stages independent and idempotent. Every stage should produce the same result whether you run it once or ten times. Stages should not depend on hidden state from previous runs. If a stage fails halfway, re-running it should be safe. This is what makes pipelines reliable to debug.
Fail fast on cheap checks. Run linting and static analysis before unit tests. Run unit tests before integration tests. Run integration tests before end-to-end tests. The fastest checks that catch the most common errors should always run first. There's no point in spending 30 minutes on device tests if the code doesn't compile.
Version your pipeline alongside your code. Pipelines should be defined as code, stored in your repository, and reviewed in pull requests. When the pipeline changes, the change is auditable, reversible, and tested before it merges. Pipelines that live in a CI provider's UI as untracked configuration eventually become unmaintainable.
Treat the pipeline as a production system. It has access to source code, secrets, build environments, and deployment credentials. Apply the same security standards you would to any other production system. Store secrets in a vault, not in pipeline config. Use least-privilege access for each stage. Audit pipeline logs and access regularly.
Set time budgets and defend them. A pipeline that grows from 5 minutes to 25 minutes over the course of a year erodes CI/CD discipline. Developers start batching changes to avoid waiting, which makes merges riskier. Track build duration as a metric. When it regresses, treat it like a bug.
CI/CD vs DevOps
CI/CD and DevOps are often mentioned together, and sometimes used interchangeably, but they're not the same thing. CI/CD is a specific technical practice. DevOps is a cultural and organisational philosophy that CI/CD enables.
A team can have CI/CD without full DevOps adoption. They'd have an automated pipeline but still throw releases over the wall to an operations team. A team practising DevOps without CI/CD is rare, because automation is one of the practical ways DevOps culture shows up day to day. For a deeper look at the cultural side, see our DevOps guide.
How Bitrise handles CI/CD
Bitrise is a CI/CD platform that runs workflows defined in a bitrise.yml file. The platform offers more than 400 pre-built Steps and starter workflows for common stacks including iOS, Android, React Native, Flutter, and Kotlin Multiplatform, so most teams chain together what they need rather than scripting from scratch.
A typical workflow chains Steps end to end: Git Clone Repository to fetch the source, Bitrise.io Cache:Pull to restore dependencies, the appropriate build and test Steps for your stack, and the right distribution Step to deliver the result. Bitrise Build Cache shares Gradle, CocoaPods, Swift Package Manager, and Bazel artefacts across builds and team members, which on most workflows takes total CI/CD time from 20+ minutes down to under 10.
Bitrise Pipelines (the Bitrise feature, not the generic concept) let workflows run in parallel and pass artefacts between stages, so iOS and Android builds can run side by side and a single deploy stage can fan out to multiple channels at once. Bitrise Insights tracks build metrics and test reliability across the team, with flaky test detection built in. AI Build Summary provides context-aware insights into build failures on each build, cutting the time from "a build just broke" to "here's what changed."
Bitrise is built specifically for mobile teams. CI/CD for mobile apps has stages that don't exist in web pipelines: macOS build environments for iOS, mandatory code signing, real-device testing, and app store distribution. If you're shipping a mobile app, the mobile CI/CD guide covers what changes when you adapt these principles to iOS and Android specifically. The Bitrise CI docs and the bitrise.yml reference cover the configuration details.
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Frequently Asked Questions
What is a CI/CD pipeline?
A CI/CD pipeline is the automated sequence of steps that takes code from a developer's commit all the way through to production. It typically starts with a build trigger (such as a pull request or merge to main), then moves through compilation, automated testing, security scanning, and finally deployment. Each stage acts as a quality gate where if a step fails, the pipeline stops and notifies the team so the issue can be fixed before it reaches users. Pipelines can be configured as code, meaning the entire workflow is version-controlled alongside your application.
What is the difference between continuous delivery and continuous deployment?
Continuous delivery and continuous deployment both extend continuous integration, but they differ in one critical way: the human approval step. With continuous delivery, code is automatically built, tested, and staged for release, but a team member must manually approve and trigger the final push to production. With continuous deployment, that last step is also automated, so once code passes all tests, it goes live without any manual intervention. Most teams start with continuous delivery to maintain a manual safety net, then move to continuous deployment as their test coverage and confidence in their pipeline matures.
Do I need both CI and CD, or can I have just one?
You can have CI without CD, and many teams do. Continuous integration is the foundation, and it delivers value on its own by catching bugs early and keeping the codebase healthy. Continuous delivery layers on top, automating the path from a verified build to a production-ready release. Most teams adopt CI first, get it stable, then introduce CD when they're confident in their test coverage.
What are the most common CI/CD tools?
For general-purpose CI/CD, the most common tools are GitHub Actions (tightly integrated with GitHub), GitLab CI/CD (built into GitLab), Jenkins (open-source and highly customisable), and CircleCI (cloud-native with strong parallelisation). For mobile CI/CD specifically, Bitrise is built for the requirements of iOS and Android: managed macOS infrastructure, code signing automation, and app store distribution. The right tool depends on your platform, team size, and how much custom scripting you want to write.
How long does it take to set up a CI/CD pipeline?
For a basic pipeline (build and test), most teams can be up and running in a few hours with a managed CI provider. Adding deployment to staging and production typically takes a few more days. Mobile pipelines take longer because of code signing and device testing requirements. With a generic CI tool, expect 20-40 hours of custom scripting. With a mobile-first platform like Bitrise, most teams have a passing build in under an hour.