You've got that shiny new app, proudly 'vibe-coded' by an AI. It works on your laptop, right? Then production hits. Suddenly, it's a blank white screen. Sound familiar? Apparently, it's happening a lot.
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.
Tired of bleeding cash on AI coding subscriptions? A new method lets you ditch the 'subscription creep' and tap into free AI tiers, even local models.
AI-powered coding isn't just about writing code faster; it's about a fundamental platform shift. But what happens when the initial hype fades and the real work of scaling begins? This piece dives into the 'Day 2 problems' that emerge when AI adoption matures.
In early January, GitHub Copilot engineers started talking about a genuine inflection point. Opus 4.5 wasn't just another model update—it was the moment the status quo became uncompetitive.