We’ve been busy working on JVM support for the open source Pants Build system, starting with support for Java and Scala. We’re excited about the progress we’ve made with Java support, and we want to share with you some of the more exciting work we’ve done.…
We in the Pants Build community have a lot of experience in helping teams evaluate and adopt Pants. And often, the first step involves helping those teams understand why Pants is the best fit for their needs (and honestly recognizing when it isn’t). As you may expect, organizations evaluating…
Pants 2.8 adds Autoflake & Pyupgrade, Docker publishing, Golang, PEP 517 publishing, and Google Cloud Functions…
Why Pants for Golang? A consistent interface for all languages & tools, integration with Git + advanced project introspection, and remote caching and execution. All with minimal boilerplate.…
TL;DR The upcoming Pants 2.8 release has greatly improved support for packaging Python distributions (sdists and wheels), including native extensions, by leveraging PEP 517. Pants has industry-leading support for Python builds - covering steps such as resolving 3rd-party dependencies, running tests, generating code, running formatters and linters, packaging…
Pants team members periodically get invited to be interviewed about aspects of the project. It's a delight to have these conversations, sharing our expertise and passion for build engineering. If you haven't heard these stories yet, you're in for a treat. And of course if you want to hear more…
TL;DR Pants makes it easy and efficient to incrementally build and deploy multiple Docker images from a single repo, with a single command. Each image can consist of a shared base image plus a single PEX (Python EXecutable) file containing all the code, resources and dependencies required by the…
With Pants 2.7 comes a new experimental backend for building Docker images and linting Dockerfiles. This backend offers a seamless experience when bundling your code and files into Docker images - In a single invocation, Pants will build the code artifacts that need to be embedded into the Docker…