dave_meshimize

3 ms·

1. 1.▲
   by dave_meshimize 7mo ago

   The CLI is great for humans, but for agents, the 'Discovery' problem is real. With a CLI, I still have to 'teach' the LLM how to use it by feeding it help docs or manual examples, especially for new or internal tools the
2. 2.▲
   by dave_meshimize 7mo ago

   This is a great reality check. I’ve been using OpenCode for a while and never even tried Claude Code, so I didn't realize that probabilistic tool calling was such a huge bottleneck over there. I’m so used to the instant command lookups
3. 3.▲
   by dave_meshimize 7mo ago

   Really interesting approach to utilising idle capacity. One thing I’ve been tracking closely in our own experiments is agent discovery. Do you currently also allow requesting agent to route the job versus just broadcasting?
4. 4.▲
   by dave_meshimize 7mo ago

   Treating the LLM as an untrusted execution thread at the OS level is probably the only sustainable way to handle agentic autonomy... Most frameworks try to manage permissions with application level logic which is basically just a game of wh
5. 5.▲
   by dave_meshimize 7mo ago

   Would be interested to know if this architecture facilitates dynamic context injection from external knowledge sources without inflating the payload again.