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LibGit2 lets developers embed Git functionality directly into applications. Here's what that actually looks like in practice, and why it matters.
Hearth AI founder Ashe Magalhaes builds entire products in hours using AI agents. What does this mean for engineering work and software development?
Dr. Jonas Birch spent 3.5 hours live-coding a file compressor in C. What the session reveals about real programming work might surprise you.
GitHub demonstrates how its Copilot SDK transforms static planning apps into dynamic AI assistants with minimal code. But what's the implementation cost?
A veteran Microsoft engineer explains the difference between software that appears to work and software that actually works—and why that gap matters.
Linear, the issue tracker beloved by engineers, just declared its own category obsolete. AI agents are changing how software gets built—for better or worse.
Anthropic's new remote task scheduling for Claude Code suggests AI development is heading toward autonomous 'software factories' running 24/7.
Most companies misunderstand AI agents. Here's the taxonomy that matters: coding harnesses, dark factories, auto research, and orchestration frameworks.
GSD, BMAD, and Superpowers take radically different approaches to AI coding. The AI LABS team breaks down when each framework actually works.
AI-generated pull requests are flooding maintainers, degrading code quality, and making open source maintenance unsustainable. Here's what's actually happening.
Whoop just doubled its workforce while others cut headcount. The companies hiring aggressively might understand something the cutters don't about AI's actual impact.
Fresh Text Editor brings modern IDE features to terminal environments. Policy implications for developer tools, accessibility, and open-source ecosystems.
Boris Cherny created Claude Code at Anthropic. Now he doesn't write any code himself. A year into AI-assisted development, what have we learned?
Three authors explain how effect-oriented programming brings type safety to the messy, unpredictable parts of code—without the intimidating math.
Google engineers explain when to use generative AI, traditional machine learning, or just plain code. The answer matters more than you'd think.
Anthropic's Claude built a 100,000-line C compiler autonomously in two weeks. IBM experts debate whether this milestone was inevitable—and what it means for developers.
Cloud-based AI coding agents now run scheduled tasks overnight. A developer built a news monitoring system in one afternoon that never sleeps.
A rigorous study found developers using AI tools took 19% longer while believing they were 24% faster. What's really happening with AI coding?
AI-generated code is overwhelming open source maintainers with low-quality contributions. GitHub now lets projects disable pull requests entirely.
Oh My Zsh creator Robby Russell on the real cost of technical debt, why rewrites fail, and what 99% of developer time actually looks like.