JSLint

JSLint is a tool that helps developers write better JavaScript code by pointing out potential errors and style issues. It's like having a strict, opinionated code reviewer constantly watching over your shoulder, making sure you dot your i's and cross your t's.

How to use it in a sentence

  • "I ran my code through JSLint and it yelled at me for using == instead of ===. Apparently, I'm not allowed to live dangerously anymore."

  • "Our build pipeline runs JSLint on every commit. I'm pretty sure it's just there to make sure we don't get too comfortable with our coding habits."

If you actually want to learn more...

  • Syntactic Noise: Martin Fowler discusses the concept of syntactic noise and how it can obscure the meaning of code. He explains why it's important to minimize unnecessary characters in programming languages and DSLs.

  • Refactoring to an Adaptive Model: In this article, Martin Fowler explores the idea of moving logic from programming languages to data structures for better adaptability and sharing across different devices and languages. He provides a practical example of refactoring product selection logic in JavaScript to a JSON-encoded rule system.

  • List And Hash: Martin Fowler discusses the common use of lists and hashmaps in modern programming environments. He highlights the flexibility and ease of processing hierarchical data structures using collection pipelines.

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

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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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