Author: Edvaldo Freitas

  • Lead Time: what it is and what it can reveal about your team

    Lead Time: what it is and what it can reveal about your team

    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.…

  • The Most Common Code Review Mistakes and How to Avoid Them

    The Most Common Code Review Mistakes and How to Avoid Them

    The code review process is a crucial part of the development cycle, yet it often doesn’t get the attention it deserves. Some code review practices end up causing more harm than good. Small missteps can turn code reviews into a frustrating experience for both the reviewer and the developer submitting the code. In this post,…

  • How to Evaluate Software Quality?

    How to Evaluate Software Quality?

    Have you ever stopped to think about what really defines high-quality software? It’s not just about it working—it’s about being efficient, user-friendly, and reliable. Evaluating software quality goes far beyond identifying bugs; it ensures that the product truly delivers value to users. In this article, you’ll learn how to deeply analyze your software’s performance and…

  • KPIs in Software Development: What to Track in 2025

    KPIs in Software Development: What to Track in 2025

    Implementing software development KPIs is essential to determine whether a company is on the right path to growth. These measurable performance indicators are well-known because they help assess whether a business is meeting its pre-established goals, whether in the medium or long term. Also known as Key Performance Indicators, these metrics are crucial as they…

  • Software Metrics That Matter for Engineering Leaders

    Software Metrics That Matter for Engineering Leaders

    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…

  • Context Switching Is Hurting Your Engineering Team

    Context Switching Is Hurting Your Engineering Team

    Imagine a developer deeply immersed in solving a complex problem. They are fully focused, understanding the nuances of the code and crafting the ideal solution. Suddenly, a Slack notification pops up, an unexpected meeting appears on their calendar, and just like that—focus is gone. This interruption may seem small, but its impact on engineering team…

  • How to deal with Technical Debt

    How to deal with Technical Debt

    If you develop software, you’ve encountered technical debt. It’s inevitable. Who hasn’t had to make a quick fix to meet a deadline or skip a test due to time constraints? The problem isn’t the debt itself—it’s how you manage it. The key is understanding when it’s worth taking on and, more importantly, how and when…

  • What Sets a High-Performance Engineering Team Apart?

    What Sets a High-Performance Engineering Team Apart?

    The difference between an average engineering team and a high-performance one isn’t about individual talent—it’s about how they work together. The real competitive edge comes from well-structured processes, strategic alignment, and a culture that fosters autonomy. Leading a tech team today is about much more than just meeting deadlines. The market is more competitive than…

  • The Biggest Dangers of AI-Generated Code

    The Biggest Dangers of AI-Generated Code

    Tools like GitHub Copilot, Cursor, and ChatGPT are completely changing the way we write code. They speed up development, reduce repetitive work, and make life easier for devs. But there’s a big catch: the quality of AI-generated code isn’t always reliable. And worse, the mistakes it makes can be very different from what a human…