Ant

Ant is a build automation tool used primarily in Java development. It's an XML-based system for defining build targets and dependencies, allowing developers to automate the process of compiling, packaging, testing, and deploying their code, similar to Make but with XML-based configuration files that look like they were designed by a masochist.

How to use it in a sentence

  • "I need to update the Ant build script to include the new third-party library we've decided to shoehorn into the project at the last minute because the CEO's golfing buddy recommended it."

  • "I spent all day debugging an issue with the Ant build only to discover that someone had accidentally checked in a config file with hardcoded paths to their local machine, because apparently using environment variables is too much to ask."

If you actually want to learn more...

  • Apache Ant Tutorial: This tutorial provides a comprehensive overview of Ant, including installation, basic concepts, and examples of how to use it in your projects, assuming you haven't already rage-quit and switched to Maven or Gradle.

  • Ant Best Practices: This article covers best practices for using Ant, such as organizing your build files, using properties and targets effectively, and managing dependencies, which should help you avoid some of the more common pitfalls and reduce the number of hours you'll spend cursing at your computer screen.

  • Ant vs Maven vs Gradle: This article compares Ant to other popular build tools like Maven and Gradle, helping you make an informed decision about which one to use in your next project, or more likely, which one to begrudgingly accept because it's already being used in your current project and no one wants to go through the hassle of switching.

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.

Try Statsig Today

Get started for free. Add your whole team!

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