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Continuous Integration (CI)

Continuous Integration (CI) is the practice of merging code changes frequently into a shared repository. CI enables teams to catch and fix integration issues early, reducing the risk of delivery delays while maintaining a healthy codebase that's ready for rapid enhancement.

How to use it in a sentence

"We better set up Continuous Integration on this project or we'll be debugging merge conflicts until the heat death of the universe."

"Oh great, the new hire broke the build again - guess they skipped the chapter on CI best practices in their bootcamp."

If you actually want to learn more...

  • Continuous Integration Certification: Want to prove you're a CI guru? Get certified and impress your team (or at least your LinkedIn connections). Learn more

  • Canary Release: Worried about your code changes wreaking havoc in production? Try a canary release to limit the blast radius. Learn more

  • Circuit Breaker Pattern: Prevent your microservices from taking down the whole system when things go south. The circuit breaker pattern is here to save the day. Learn more

Note: the Developer Dictionary is in Beta. Please direct feedback to skye@statsig.com.

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Why the best build with us

OpenAI OpenAI
Brex Brex
Notion Notion
SoundCloud SoundCloud
Ancestry Ancestry
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
OpenAI
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Brex
Karandeep Anand
President
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Notion
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
SoundCloud
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Ancestry
Partha Sarathi
Director of Engineering
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