NEW
Also known as: CI
Practice of frequently merging code into a shared repository with automated builds and tests for rapid feedback.
DESCRIPTION
Continuous Integration (CI) integrates small, frequent code changes into a shared mainline, validated by automated builds and tests. It reduces integration risk, surfaces defects early, and accelerates delivery. Effective CI relies on trunk-based development, fast feedback loops, and test automation. CI is foundational to continuous delivery and DevOps, enabling reliable pipelines and higher release cadence.
ALTERNATIVE DEFINITIONS
Martin Fowler
Continuous Integration is a software development practice where members of a team integrate their work frequently, usually each person integrates at least daily—leading to multiple integrations per day.
Emphasizes frequency and team practice aspects.
Atlassian
Continuous integration (CI) is the practice of frequently integrating code changes into a shared repository, followed by automated builds and tests.
Highlights automated builds and tests after integration.
GitLab
Continuous Integration (CI) is the practice of automating the integration of code changes from multiple contributors into a single software project.
Stresses automation for multi-contributor projects.
RELATED TERMS
Continuous Delivery Automated Testing Build Automation Version Control Trunk-Based Development Code Review Static Analysis Feature Flags DevOps Deployment Pipeline
COMPETING TERMS
Nightly Builds Big Bang Integration
KNOWLEDGE AREAS
Software Engineering Platform & Tooling Testing & Validation
TARGET AUDIENCE
Software Developer DevOps Engineer MLOps Engineer Data Engineer Analytics Engineer
EXTERNAL SOURCES
- Wikipedia - Continuous integration
- Martin Fowler - Seminal CI article and practices
- Atlassian - Vendor overview of CI
- Microsoft - Intro to CI/CD in Azure Pipelines
- GitLab - GitLab CI/CD documentation
TOP QUESTIONS
Why is Continuous Integration important?
CI reduces integration risk, shortens feedback loops, and improves quality by catching defects early. It accelerates delivery and supports agile development.
Category: Relevancy
What are essential tools for Continuous Integration?
Version control, build automation, test frameworks, and a CI server or service (e.g., GitHub Actions, GitLab CI, Jenkins) are essential.
Category: Requirements
How often should teams integrate in Continuous Integration?
Multiple times per day is ideal, with developers integrating small changes frequently to keep the main branch stable.
Category: BestPractice
What is a common mistake in Continuous Integration?
Letting pipelines become slow or flaky erodes trust. Keep builds fast, deterministic, and well-maintained.
Category: Mistakes
How does Continuous Integration relate to Continuous Delivery?
CI verifies each change; CD ensures the code is always in a deployable state. CI is a prerequisite for CD.
Category: Overview
How do feature branches work with Continuous Integration?
Short-lived branches and frequent merges reduce drift. Trunk-based development improves CI effectiveness.
Category: Opinion
What tests should run in Continuous Integration?
Fast, reliable unit and integration tests provide immediate feedback. Heavier end-to-end tests may run on a cadence or gated stages.
Category: Testing
How does Continuous Integration support data engineering?
CI validates SQL, dbt models, and data tests, preventing broken pipelines and schema drift before deployment.
Category: Data Engineering
What metrics indicate good Continuous Integration health?
Build success rate, median pipeline duration, and mean time to fix broken builds are key indicators.
Category: Observability