There's a handful of use cases that get pitched nonstop in demos and decks, and then completely fall apart the second you try running them for real. For me it's anything involving reading intent from ambiguous human input. When you give it a cl…

Every new framework release has the same kinda brag with stuff like longer task chains, more tool access, fewer "check in with a human" checkpoints. Okay, that's cool. Except almost nobody in these threads is talking about what happens wh…

Been spending most of my time trying to actually build and ship AI workflows lately, and the gap between online discussions and reality is getting more evident. A lot of the conversations about AI we see online still revolves around stuff like model co…

The tooling is abstracting faster than people's mental models are updating. Been playing around with a few agent builders recently and what keeps standing out is how much previously manual orchestration is basically configuration now. Memory, tool …

Most tooling discussions I come across just end up being the same handful of products getting recommended over and over. Gets old pretty fast. More interested in the stuff flying under the radar. Repo and coding tools, self hosted setups, AI infra, ter…

Maybe I’m missing something, but browser runtimes seem way more capable than people realize. With stuff like web containers and WASM sandboxing, we can already run well capable environments fully inside the browser. I saw an open source project recentl…

Not talking about the LLM itself but about the memory layer on top. There are quite a few out there now, open source ones and proprietary frameworks. Curious what people have actually tried and stuck with. Which one just worked for you? submitte…