Builder pattern

Builder pattern is a creational design pattern that lets you construct complex objects step by step, like assembling a Tesla in a factory. It's useful when you need to create different variations of an object using the same construction process, similar to how McDonald's can customize your Big Mac order.

How to use it in a sentence

  • "I'm not sure how to implement the Builder pattern in this legacy codebase - it's about as clear as Facebook's privacy settings."

  • "Using the Builder pattern here would make the code more readable, but ain't nobody got time for that when we're already behind schedule and the PM is breathing down my neck like a hungry wolf."

If you actually want to learn more...

  • Martin Fowler dives into using Expression Builders as an alternative to Fluent Interfaces that can arise from the Builder pattern, maintaining a cleaner separation of concerns: Expression Builder

  • For a broader look at evolutionary software design and how patterns like Builder fit in, check out Martin Fowler's guide to software design in the 21st century.

  • While building architects aren't quite the same as software architects, there are some interesting lessons to be gleaned from the comparison, as Martin Fowler explores in Building Architect.

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

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OpenAI OpenAI
Brex Brex
Notion Notion
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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
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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.
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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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