Basic Knowledge
Why Your Code Needs A Health Checkup Think of software quality metrics as a fitness tracker for your code. Just as athletes track their vitals to improve performance, developers use metrics to understand the health of their code. This isn't about creating reports; it's about having
Basic Knowledge
Why Your Team Desperately Needs a CI Dashboard Imagine an air traffic control tower. Dozens of flights are in the air, all needing to land and take off safely. Now, imagine that tower without radar. Chaos, right? That’s what it’s like managing complex CI/CD pipelines without a
Product Features
Why large engineering orgs quickly hit the limits of GitHub's queue — and what they actually need. Over the last couple of years, GitHub has been rolling out its own merge queue feature. It's a welcome recognition of a real problem: teams need better ways to manage
Why large engineering orgs quickly hit the limits of GitHub's queue — and what they actually need. Over the last couple of years, GitHub has been rolling out its own merge queue feature. It's a welcome recognition of a real problem: teams need better ways to manage
DORA metrics have become a staple in the world of software engineering management. Initially popularized by the "Accelerate" book and Google's State of DevOps reports, they've become a kind of north star for measuring engineering efficiency. You'll find them referenced in strategy
You push a PR. CI kicks off. Ten minutes later, red. You check the logs. It’s a test that fails every now and then — you’ve seen it flake before. It times out, or throws a weird assertion. Maybe it’s infra. Maybe it’s racey. Maybe you don’
A few weeks ago, something broke in production. No big deal — we've all been there. I did what I’ve done hundreds of times before: Checked logs, wrote a patch, pushed to a new branch, and waited for CI. Except CI failed. Not because of my change, but
At Mergify, we’re growing. That means we’re hiring. And hiring means rejecting candidates—sometimes, a lot of them. It’s one of our hiring process's hardest and most uncomfortable parts. But it’s also one of the most important. Here’s how we do it, why
At Mergify, we merge more than 1M pull requests every year on behalf of our users. That’s not a brag about volume. That’s a statement of purpose. Because behind every single one of those pull requests, there’s one simple promise we’re keeping: 👉 Your CI will never
Writing about continuous merge, software development, CI/CD and technical topics.
Why JavaScript Tests Matter More Than Ever Let's face it, JavaScript is everywhere online. It's the backbone of pretty much everything interactive on the web, from simple animations to full-blown web apps. This ubiquity means the quality of our JavaScript code is more critical than ever.
Understanding Test Environment Strategy: Your Safety Net Imagine building a house without blueprints. It'd be a disaster, wouldn't it? A test environment strategy is like the blueprint for your software. It makes sure all the parts work together smoothly before you show it to the world.
Why Code Quality Determines Your Project's Fate Shipping features quickly is a rush, right? But I've chatted with enough engineering leads to know the dark side: sacrificing code quality creates a technical debt monster. It's the "quick fix" that turns into late-night
The Hidden Pipeline Killer You're Probably Ignoring Let's be honest, most engineering teams have them: those "occasional" test failures that seem small but secretly wreak havoc on your development velocity. I've chatted with so many frustrated DevOps engineers who describe how these
Unlocking DevOps Efficiency with Powerful Observability Struggling to understand and optimize your complex systems? This listicle highlights eight leading DevOps observability tools to help. Discover how these tools provide the insights needed to resolve performance bottlenecks and improve workflows. Learn about the key features of Mergify, Datadog, New Relic, Grafana,
Level Up Your DevOps with the Right Monitoring Tools Effective monitoring is crucial for DevOps success. This listicle presents ten leading monitoring tools for DevOps, including Mergify, Prometheus, Grafana, Datadog, New Relic, Elastic Stack, Nagios, Zabbix, PagerDuty, and Splunk. Learn about their key features, advantages, and disadvantages to optimize performance,
Level Up Your Code Integration Process This pull request checklist provides seven essential steps to improve your development workflow and code quality. Learn how to create robust pull requests that minimize bugs, reduce technical debt, and speed up development cycles. From code quality and testing to security and performance, this
Understanding Technical Debt: The Silent Innovation Killer Technical debt is a common issue in software development, often compared to financial debt. Taking shortcuts can offer immediate benefits, such as quicker releases. However, this comes at a cost, accumulating "interest" over time. This interest translates into greater complexity, harder-to-maintain
Understanding Why Git Merge Conflicts Actually Happen Merge conflicts in Git can be frustrating. Understanding why they happen is the first step to resolving them. A merge conflict occurs when Git finds competing changes from different branches that it can't automatically fix. This usually happens when multiple developers
Getting Started With Regression Test Planning Fundamentals Regression test planning forms the foundation of reliable software development. It's the process of strategically deciding what needs testing, the optimal timing for these tests, and the most effective testing methods. The aim is to guarantee that new code updates haven&
Unlocking DevOps Success with the Right Metrics This listicle presents eight essential DevOps performance metrics your team should monitor to improve and achieve DevOps excellence. We'll cover key metrics like deployment frequency, lead time for changes, mean time to recovery (MTTR), and change failure rate. You'll
Embracing the Power of Continuous Integration Want to ship better software, faster? This listicle explores six core benefits of continuous integration (CI) and how it improves development workflows. Learn how CI leads to faster feedback, fewer integration problems, higher code quality, quicker releases, better team communication, and reduced deployment failures.
