I think “software is solved” splits into two levels, and the second one is much harder. 1. Local level: AI writes individual classes, functions, tests, and small features accurately and fast. No one’s writing code en masse by hand anymore. ← We’re basically here. 2. Macro level: shipping and running big real-world systems or full SaaS products that paying customers depend on 24/7. The jump from 1 to 2 is brutal because 90% accurate isn’t good enough. At scale you need near-perfect reliability, observability, security, and the ability to evolve the system without it collapsing. You also need someone to take real liability when things go wrong. “AI did it” doesn’t fly with customers or regulators. Production edge cases, integration messes, architecture trade-offs, and long-term ownership still demand real human judgment.

In case you're just catching up, there was a crazy GitHub outage where pull requests were being merged incorrectly. Sounds like a nightmare. Does it seem like these incidents are becoming more common?

Tim Cook’s best Apple innovation:

Hardware is the new software

🚨 NEW: X posting guidelines for Claude 4.7 Must be one of the following with no exceptions: - “My limit was hit after saying ‘hi’” - “DAE think 4.7 is worse than 4.6?” (Make sure to not have tried 4.7 at all before posting) - “Codex is better than Claude now” (only ever used Codex) Anyone got any more?

Are we finally ready to have this conversation yet? Are we hitting a dead end?

Instant nuanced takes on Claude Opus 4.7 vs 4.6 crack me up. Same agents, same crazy complex workflows, huge surface area… yet everyone instantly knows if 4.7 is ‘insanely good’ or if 4.6 was superior lol 😂

“Is it just me or did Claude opus 4.7 …”

This man laid the foundation for modern AI agents... and you don't even know his name?

This hot take seemed to have struck a chord. The new Claude Code desktop is slick on the surface, but it's mostly orchestration theater. Real value is still in the raw model plus deep model-specific integrations like Claude Code. They literally designed it based on the model during training and tweaked things as they went along. Everything else (GUI clients, drag-and-drop panes, side chats, multi-agent swarms, etc.) gets commoditized in weeks since anyone can slap together a wrapper with the API. Moats aren't in polished apps anymore. They're in taste (I know this is a meme but it’s true), closed research, network effects, marketing, and whatever regulatory edge they can grab. Ship model improvements faster and improve reliability of shipping slop. The community can take care of the rest.

This is a top signal