Platform
Resources
Docs Blog Pricing
Sign In Book a Live Demo

Bug

Bug is an elusive creature that hides in your codebase, waiting to cause chaos at the most inopportune times. It's the bane of every developer's existence, but also the reason we still have jobs in this increasingly AI-driven world.

How to use it in a sentence

  • "I can't believe I spent all day chasing down that bug, only to realize I was looking in the completely wrong file - I should've just become a barista instead."

  • "Oh great, another bug report from the QA team - I guess I'll have to postpone my plans to rewrite this entire codebase in Rust for the third time this week."

If you actually want to learn more...

  • Martin Fowler discusses how self-testing code and Continuous Integration can help catch bugs early and prevent them from piling up: SelfTestingCode and Continuous Integration

  • Paul Graham put out a "Call for Bugs" when reprinting his book "On Lisp", showing that even the best programmers can let bugs slip through: Call for Bugs

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

Join the #1 experimentation community

Connect with like-minded product leaders, data scientists, and engineers to share the latest in product experimentation.
Join Community

Try Statsig Today

Get started for free. Add your whole team!
Sign up for Free Test Drive Now

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
We use cookies to ensure you get the best experience on our website.
Privacy Policy