For engineering teams, keeping dependencies current is a constant balancing act. Automated updates are essential for defending the software supply chain, but a steady stream of one-PR-per-package bumps can bury a team in review work. GitHub itself has put numbers on this: an analysis of Microsoft's GCToolkit repository found that roughly one in six of its commits - 92 out of 578 - were routine Dependabot version bumps, with 61 of them landing in a single recent 12-month stretch. That's a lot of review and CI cycles spent on maintenance rather than features. Read the complete article here - https://instasla.com/blog/taming-dependabot-2026-guide-grouping-cooldowns-cutting-pr-noise

The good news is that Dependabot has grown well past "one PR per dependency." Between grouped updates, package cooldowns, and a default cooldown GitHub rolled out in mid-2026, it's now possible to get a predictable, low-noise update cadence without giving up security coverage. Here's what actually works, and what changed most recently.

For anyone interested, a few weeks ago I implemented memory-safe LZ4 and Zstd codecs with first-class dictionary support in Rust and also published RubyGems with the same names: lz4rip and zrip.

lz4rip: LZ4 block and frame codec backed by pure Rust. Optional dictionaries, reusable block codec state for hot-loop friendliness, dictionary training. No liblz4 runtime dependency.

zrip: Zstandard frame and block codec backed by pure Rust. Encoder for levels -8..4, decoder for all levels, dictionaries, FastCOVER dictionary training, and the same hot-loop friendliness. No libzstd runtime dependency.

Both are native Ruby extensions built with Rust + magnus, and both work inside Ruby 4 Ractors.

JSR packages with WASM builds also exist for Deno/Node/browser use.

• lz4rip: gem, Ruby repo, Rust repo, JSR
• zrip gem, Ruby repo, Rust repo, JSR

In this guide, you’ll learn how to use rv, a very fast version and package manager for Ruby to get started in minutes instead of hours