Open source software has been a cornerstone of tech innovation for years. Lately, though, its role feels different. While some still champion open source as always better, the focus has shifted. The way open source is used and who contributes to it is changing, especially with the rise of AI and cloud-native tech. The Evolution
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Software Development
Upgrading from Apache Airflow 2.10.3 to version 3.0.6 over the holidays gave one developer a chance to explore the latest updates and improvements. The transition highlighted several key changes that make airflow more streamlined, scalable, and developer-friendly. This guide shares the main takeaways from that experience, focusing on the most impactful updates and how they
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JetBrains has announced a new open-source library called Tracy, designed to help developers trace and monitor AI features in their Kotlin and Java projects. The tool was unveiled on March 11 and is available on GitHub. Tracy aims to make it easier for programmers to track AI model calls, debug issues, and measure performance directly
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Google has introduced a new feature called plan mode for its open-source software engineering tool, Gemini CLI. This addition helps developers analyze and understand their codebases without risking accidental changes. Announced on March 11, plan mode makes it easier to plan complex updates or migrations safely and efficiently. What is Plan Mode and How Does
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Switching a Python app to Rust using a large language model can be an exciting project. It promises better performance and modern code, but the journey isn’t always smooth. Recently, developers tried this approach with Claude, an AI tool, and found both surprises and lessons along the way. Using AI to Convert Python to Rust
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Over the past few years, a common story has taken hold in many boardrooms: software will soon become free, powered entirely by AI. The idea is simple—large language models can write code, which makes up most of what developers do. Companies are told they can cut costs by letting AI handle backlog tasks and generate
Microsoft has released the second preview of its upcoming .NET 11 platform, bringing a range of new features and performance enhancements. This preview focuses on making development smoother, with improvements to runtime behavior, SDK installers, and libraries. Developers can download the preview now to test out the latest changes and prepare for the full release
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AI has transformed how developers write code, making it faster and more efficient. But the real hurdles come after the code is pushed to production. That’s where most AI-assisted projects quietly fail, not because the code is wrong, but because of the complex environment it runs in. The cloud environment is unforgiving and full of
JetBrains has announced two new tools aimed at making software development easier with AI. These tools are called Air and Junie CLI. They were revealed on March 9 and are designed to help developers work smarter by integrating AI-powered coding assistants into their workflows. Introducing Air: An AI-Powered Development Environment Air is a new environment
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TypeScript 6.0, the upcoming major update to Microsoft’s popular strongly typed JavaScript variant, has reached the release candidate (RC) stage. This version introduces several notable changes, including improved type checking for function expressions in generic calls. The RC is a step towards the full release, which is scheduled for March 17, after originally being expected
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