Java

Java is a general-purpose programming language that's been around since the mid-90s and refuses to die, much like that potted plant in the break room that no one waters but somehow keeps growing. It's verbose, object-oriented, and used by big enterprises to build complex systems that require a lot of plumbing.

How to use it in a sentence

  • "I can't believe I have to update this legacy Java codebase from 2004. It's like trying to renovate a haunted house with nothing but a hammer and a prayer."

  • "Sure, I could rewrite this in Java, but I'd rather watch paint dry while listening to a loop of 'It's a Small World' played on kazoo."

If you actually want to learn more...

  • Martin Kleppmann compares Java Enterprise to Ruby on Rails, discussing their cultural differences and evaluation criteria for choosing a web framework. Ruby on Rails vs. Java Enterprise

  • Paul Graham provides a list of resources for various programming languages, including some Java-related links scattered throughout. Paul Graham's Resources

  • Paul Graham critiques Java from an outsider's perspective, arguing that it may not appeal to hackers due to its design for large organizations rather than individual programmers. Java's Cover

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

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OpenAI OpenAI
Brex Brex
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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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