I feel like its only useful if the work you are doing doesn't have correctness as a high priority. If your work is okay with something only mostly being correct and it can just be slopped together over time then yes throw 500 agents at it. But otherwise you can't really review all that work as a single human and will quickly run out of capacity
This makes so much sense as to why I've always felt that Opus 4.8 was leagues ahead of GPT 5.5. It's so good at taking underspecified requirements and filling in the gaps with sensible approaches for your project
I moved to Firefox as soon as they began threatening uBlock Origin support and people started switching to Lite, I find it silly that people were tweaking their registries just to stay on a sinking ship for a few more months lol.
Agree wholeheartedly. I think that Anthropic has just invested more effort in creating a better DevEx than OpenAI, and so people just "feel" that claude code is better but they're about the same really, claude code might be 5% better at best.
It's a seriously degraded experience from a developer's perspective. Okay you've got one local LLM installed finally after configuring everything perfectly, what happens when you want to run a second instance? Now you've blown past your vram and system ram limits, and you're stuck to just one.
Furthermore, the model they recommend doesn't quite reach ~gpt-5.4-mini level performance- that quality dip means you may as well just pay for something like Kimi K2.6 via openrouter if you want a something ~>= sonnet 4.6 in performance as a backup for when you run out of anthropic/openai usage.
I've been experimenting with Hermes, I'm convinced hermes is also just bad. Like as a harness it has got to be doing something to lobotomize these models- Even GPT-5.4 performs badly in Hermes vs just using it in Codex.
If you're okay with sonnet level performance, this sounds like a straight upgrade. But I find that sonnet messes up too much, that it ends up not being worth cost optimizing down to using it or another sonnet-level model. Glad to have this as an option though
I think I like this article and I haven't finished it yet, but I don't think the bottleneck has shifted to non-human with the advent of agentic AI. It's still the human (deciding what product direction to take, reviewing code, etc)