Floating versions like :latest, ^, and ~ promise convenience but deliver broken builds, hidden regressions, and supply chain risks. Here we explain why they undermine reproducibility and security and shows how to pin GitHub Actions, Docker images, and dependencies safely.

Permissions drift is real: scattered checks, forgotten filters, and data leaks. PostgreSQL’s Row Level Security (RLS) flips the script: pushing verification into the database for stronger safety, but with trade-offs in debugging and performance.

From Bors and Homu to Bulldozer, Kodiak, Mergify, and now GitHub and GitLab, merge queues have shaped how we keep main branches green. This article traces their history, why they emerged, and how they became a standard in modern software development.

Building a Jenkins plugin sounded simple — until it became a crash course in Java, Jenkins internals, and community code review. Here’s what I learned, why the process surprised me, and how it now powers Mergify CI Insights.

Pull requests are essential, but they don’t scale without automation. Learn PR basics, best practices, and how to automate reviews, tests, and merges with GitHub Actions or Mergify.

A feature branch workflow is one of Git’s most popular strategies. Learn how it works, its pros and cons, and how modern automation (like merge queues) keeps feature branches fast, safe, and frustration-free.

Bulldozer is fine for simple PR automation, but it struggles as teams grow. In this post, we break down its pain points and show how Mergify’s merge queues, flexible rules, and templates make it the smarter choice for modern development workflows.

.gitignore is one of Git’s most abused features. Here’s what it’s actually for, why you shouldn’t commit your editor junk into it, and how to use a global ignore file instead.

Why large engineering orgs quickly hit the limits of GitHub's queue — and what they actually need.