As of Pants 2.2, Pants now knows how to use dependency inference with Protobuf! This includes: 1) Protobuf imports of other Protobuf files, and 2) Python imports of generated Protobuf code, including gRPC.…
Fast incremental re-builds are critical in large codebases and monorepos. Thanks to deep support for cancellation and a side-effect free execution model, Pants is able to further reduce re-build latency by speculatively re-executing work.…
Pants contributors Eric Arellano and Stu Hood sat down recently with Tobias Macey, host of the popular Podcast.__init__, to talk about Python monorepos and how Pants supports them. Listen in to learn about the history of Pants (including the origin of the name!), the advantages of a single unified…
How the Pants build tool empowers incremental migrations by: 1. giving fine-grained insights into your migration with minimal boilerplate, and 2. running all your tests and linters, in parallel, with the correct interpreter for each part of your code.…
Scalable build tools have historically meant a significant boilerplate burden. But it doesn’t have to be that way! Pants v2 supports all of the caching, concurrency, and introspection you need to scale your repository, with significantly less boilerplate, thanks to… Dependency inference!…
There are so many tools in the Python development ecosystem. Installing, configuring and orchestrating them—all while not re-executing work unnecessarily—is a hard problem, especially as your codebase grows. Fortunately, there is now a tailor-made (pun intended) solution: Pants v2!…