Build

Build is the process of transforming source code into a running system, involving compilation, file movement, database schema loading, and other complex tasks. While this process can be done manually, it's time-consuming and error-prone, so automating the build is crucial for any serious software development effort.

How to use it in a sentence

  • "I can't believe the new guy broke the build again - doesn't he know you never commit on a Friday afternoon?"

  • "Our build process is so slow, I could probably rewrite the entire codebase in Assembly by the time it finishes."

If you actually want to learn more...

  • Continuous Integration: Learn how automating the build and integrating code changes frequently can catch bugs early and improve software quality.

  • Rake: Discover how this Ruby-based build language can help you create more advanced and flexible build scripts.

  • Deployment Pipelines: Understand how breaking up the build process into stages can provide faster feedback and more thorough testing.

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

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What builders love about 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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