Category: Engineering Analytics

We’ve all been there. You join a new team, clone the repo, and stare at a file that’s 2,000 lines long. Or you’re asked to add a “simple” feature to a codebase so tangled that changing one thing breaks three others. This is the slow, silent tax of unmaintainable code. It’s what turns shipping features…

We’ve all been there. You push a PR you’re proud of—a clean fix, a clever feature. You post the link in Slack. And then… crickets. Hours turn into days. Your small, focused change is now mentally a million miles away. By the time someone finally reviews it, you can barely remember what you were trying…

Ever get that feeling in an engineering planning meeting? You’re talking about velocity, story points, and sprint goals, but you can’t shake a simple question: “Are we actually getting better?” It’s easy to feel busy, but it’s much harder to know if you’re effective. Gut feelings and vibes don’t cut it. To truly understand and…

Ever look at a piece of code and just… get a bad feeling? It works, it passes the tests, but something about it feels off. It’s a little too complicated, a bit clunky, or just plain hard to read. That feeling, my friend, is your developer intuition picking up on a code smell. It’s not…

If we want to deliver software faster and more reliably, we need to understand how the team is performing—both in development and in operations. That’s where DevOps metrics come in. They’re the most direct way to get real visibility into what’s working, where the bottlenecks are, and how the team’s efforts are turning into actual…

Lead Time is one of the most important metrics for measuring the efficiency of a software development process. Despite its popularity, many companies still don’t fully leverage this metric to identify bottlenecks, improve predictability, and boost team productivity. In this article, I’ll break down what Lead Time is and what insights it can give you.…

Software metrics are essential for engineering leaders—they provide valuable insights to assess project performance and efficiency. But agreeing on key performance indicators (KPIs) can be tricky since different professionals have different perspectives on what really matters. Our goal here is to highlight and break down the key metrics that help engineering leaders make better decisions…

If you lead an engineering team, understanding your team’s throughput is essential. Not just to know how many tasks are being delivered per sprint, but to get a clear picture of what’s actually delivering value. Throughput only starts making a difference when it stops being just another dashboard number and becomes a real decision-making tool.…