NVIDIA's Jensen Huang dreams of millions of AI agents outnumbering engineers 100-to-1. Reality? Coding agents hover at a few million users, exposing a chasm between bold claims and daily dev habits.
Picture your AI coding sidekick squinting at Java code, guessing types from grep hits. Now it pings a language server for the real scoop – all in 260 lines of code. Minimalism wins again.
Your AI coding buddy keeps screwing up the same way. Experience Engine promises to fix that by ditching the bloat. Does it?
Your AI coding agent generates slick code. But it flops in production because no one's feeding it real signals. Time to wake up.
Imagine spending your nights sifting through code you can't trust, submitted by bots pretending to be helpful humans. That's the hell open source maintainers live in now – and corporate devs are barreling toward it.
GitHub says Copilot users code 55% faster. Sounds great. Until you factor in the bugs it sneaks in.
A manager nods through a sprint review, bluffing on latency spikes. But AI just whispered the fix in seconds. The jig is up.
Coding agents write code. Great. But when they execute it? Disaster waiting. Freestyle sandboxes fix that—brilliantly.