Category: Productivity
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Benchmarking Code Reviews: Kody vs. Raw LLMs (GPT & Claude)
Introduction AI-powered IDEs blew up this past year—suddenly, every dev’s got a little robot sidekick. But hey, coding is the fun part. Code reviews? Not so much. That’s where we started wondering: Can large Language Models (LLMs) handle your pull requests? We put the usual suspects (GPT-4o and Claude Sonnet 3.7) up against our pipeline-based…
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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…
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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…
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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…
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How Small Pull Requests Improve Team Flow
If you’ve ever had to review a massive Pull Request, you know it can completely block your team’s flow. Large Pull Requests not only eat up a lot of time but also increase the chances of errors and conflicts. Here’s the good news: small Pull Requests can totally transform the way your team works. I’ve…
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Dealing with Interruptions in development team flow
Keeping the dev team in “flow”—that peak state of focus where ideas flow and the code practically writes itself—is crucial. But let’s be real, one of the biggest threats to productivity is interruptions. Even small distractions can have a big impact, breaking the rhythm and forcing developers to spend precious time and energy trying to…
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Space Framework: Top 5 Productivity Metrics
Developer productivity is a crucial factor in the software development world. It directly impacts delivery timelines, software quality, and team satisfaction. In this context, the Space Framework was created to help measure and analyze developer productivity more accurately. This framework offers a structured way to look at productivity, providing insights that can help boost efficiency…
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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?…
