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For the past couple of years, I’ve complained about GitHub’s pull request interface.
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Four years into the AI boom, the way software engineers interact with AI is still evolving.
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Git worktrees have been around for over ten years, but if you’re like me, you might not have heard of them until recently.
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If you’re a web developer and you want to create mobile apps for iOS and Android, then you’ll probably use Expo1.
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On June 1, GitHub switched the pricing model for Copilot from a request-based model to a usage-based model.
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Visual Studio Code recently shipped [agent hooks]1 as a way to customize your agent experience.
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Imagine this: you’re working at a company that uses GitHub as its source control platform.
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If you retrieve content from the internet, you’ll eventually need to proxy requests.
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Much of the hype around AI-assisted programming focuses on “vibe coding,” which means working prompt by prompt to build an application without worrying too much about the generated code.
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The software engineering industry is undergoing a major AI-driven transition in how we work.
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In 2025, npm experienced an unprecedented number of compromised packages in a series of coordinated attacks on the JavaScript open source supply chain.