Fork It Harder Make It Better
summary
Argument that forking tools can produce faster, better workflows but increases learning cost, with concrete examples: Ammonite REPL plus worksheets and Jupyter notebooks for fast feedback, demoed building and publishing to crates.io in under two minutes, replacement resolver coursier for much faster dependency resolution, and editor integration via Metals language server and the Build Server Protocol appearing in IntelliJ nightlies. Also compares build tools (sbt, mill, CBT, Bazel/Pants) and shows Jetpack can auto-build GitHub tags for resolution.
AI-written summary · about
chapters (5)
- 0:00Start
- 2:48LEARNING AND EXPERIMENTING
- 10:24COMPILING
- 16:23CREATING A LIBRARY
- 20:24DEPENDENCY MANAGEMENT
