GitHub's AI coding agent just earned top honors from Gartner—again. This isn't just about faster code; it's about fundamentally rewriting how we build software.
They say AI can write code. They're not wrong. But can it pay the bills? A full-stack dev built a Chrome extension with AI, and surprisingly, it earned its first dollar.
AI coding assistants are rapidly evolving, but their real value lies not just in writing code, but shipping it. GitLab's latest integration with Codex aims to bridge that gap, offering a glimpse into the future of developer productivity.
What began as a euphoric sprint with AI coding agents for KubeStellar Console devolved into a frustrating slog. The key to high PR acceptance wasn't a smarter model, but a more intelligent codebase.
Burning through AI budgets faster than a supernova? The culprit might be your code context. Nexus-Graph is here to change the game, introducing a radical new approach to how AI understands your codebase.
Tired of wrestling with API endpoints? A new guide shows how to move your existing OpenAI SDK integrations to an API relay with barely a whisper of code change. It's simpler than you think.
The frustrating setup and maintenance of capable open-source AI agents might finally be over. HermesCloud is launching managed hosting for the popular Hermes Agent, promising to deliver its powerful capabilities without the infrastructural headache.
Companies are pouring money into AI for engineering, but the real-world impact is far from clear. The latest data shows a messy picture, where individual results wildly diverge.
Modern software tests are built on a fragile assumption: correct behavior is repeatable. But for autonomous AI agents, that assumption shatters.
Slack prompts turn into a chaotic mess of outdated versions and lost edits. Open Source Beat shows how to fix this by creating official, versioned AI skills.
Forget the hype: AI isn't replacing developers, but it's undeniably changing the game. We put it to the test with a complex e-commerce build.
We're drowning in abstraction layers, adding wrappers for wrappers. The original problem? Long forgotten. It's time to talk about the cost.