Category: Leadership
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7 Stages of the Software Development Lifecycle
The Software Development Lifecycle (SDLC) is a systematic process used by development teams to create high-quality software. This process breaks down development into distinct phases, making it easier to manage and optimize resources. This article explores the seven key phases of the software development lifecycle and their critical role in building successful applications. 1. Planning…
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Types of software testing and how AI is helping
In software development, making sure everything works as expected is crucial. There are different types of software testing, each with a specific purpose, from checking if small parts of the code are correct to ensuring the entire system performs well under pressure. But with systems getting more complex and the need for quick deliveries, how…
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How software engineering teams are using AI
Artificial Intelligence is no longer just a buzzword— it’s become an essential tool for software engineering teams. From automating repetitive tasks to improving code quality, AI is reshaping how engineers work. In this article, we explore how teams are leveraging AI to boost efficiency and effectiveness. The Generative AI Revolution: Real Game-Changer or Just Hype?…
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How to Improve Software Delivery Speed
If you lead an engineering team, you know that software delivery speed isn’t just a number on a dashboard. It’s the difference between launching a feature before the competition or missing a market opportunity. But accelerating without control isn’t an option—every architecture decision, every process, and every tool directly impacts your ability to deliver with…
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Best Practices for Software Estimation
Software estimation can be a real challenge. Have you ever tried to predict how long a task would take, only for it to end up taking twice as long? This happens all the time in software development. But the good news is that there are ways to improve this and make software estimates more reliable.…
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Software Engineering Practices: What Really Works?
If you’ve worked at different companies or tech teams, you’ve probably noticed something: what works like a charm in one place can turn into a nightmare in another. That’s because the so-called “best software engineering practices” aren’t a universal manual you can just apply blindly. They depend—a lot—on your team’s context. It’s common to see…
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The Productivity Trap: Why Metrics Are Failing Engineering Teams
In the last few years, the word “efficiency” has been thrown around everywhere. No surprise that a lot of software engineering teams are trying to find better ways to measure productivity. But honestly? That’s been a real challenge. According to Atlassian’s 2024 State of Developer Experience report, most leaders already realize that traditional metrics just…
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How to Handle Technical Debt in Scrum
Technical debt is like a silent loan: it seems like a good idea in the short term, but the interest can be devastating. At first, no one feels the impact, but as it grows, every new feature becomes slower to build, every sprint more frustrating, and every refactor a minefield. If your team works with…
