There is only one basic human right, the right to do as you damn well please. And with it comes the only basic human duty, the duty to take the consequences.
See a lot of hype on the new app/feature/product from a big AI company -> try it because of FOMO -> lose my time -> go back to VSCode + cli agents + Obsidian
This is the way, thought about this last year when training reasoning models.
And this implementation is pretty elegant 👌
Latent reasoning is the future
@hwchase17 I think sub* agents will kinda go away, the original blocking/recursive ones. We will go towards async ones, which is basicall multi* agents
guys all important stuff (for us) of claude code was mostly public, system prompts and hooks were all leaked. All the rest is just an envelop to put an agent into production and make it work on our computers / permissions / observability.
Irónicamente, la universidad sí se ha adaptado a la ley de la oferta y la demanda: a la infinita demanda de madres, padres y chavales a quienes se les ha hecho creer que la única salida digna es estudiar una carrera.
La mayoría de grados no deberían existir o deberían ser especializaciones.
seems obvious but:
things that are changing rapidly:
1. context windows
2. intelligence / ability to reason within context
3. performance on any given benchmark
4. cost per token
things that are not changing much:
1. humans
2. human behavior, preferences, affinities
3. tools, integrations, infrastructure
4. single core cpu performance
therefore,
ngmi:
1. "i found this method to cut 15% context"
2. "our method improves retrieval performance 10% by using hybrid search"
3. "our finetuned model is cheaper than opus at this benchmark"
4. "our harness does this better because we invented this multi agent system"
5. "we're building a memory system"
6. "context graphs"
7. "we trained an in house specialized rl model to improve task performance in X benchmark at Y% cost reduction"
wagmi:
1. product/ui
3. customer acquisition
4. integrations
5. fast linting, ci, skills, feedback for agents
6. background agent infra to parallelize more work
7. speed up your agent verification loops
8. training your users, connecting to their systems and working with their data, meeting them where they are
Memory should be only per chat. So I can have a long chat without losing context, if I start a new chat is because I want fresh context. When context engineering gets good enough I may never leave the conversation, but for now it just messes up both experiences (not enough good for infinite conversation nor for global context)
just found out Claude Code has a new (unreleased?) feature called "Auto-dream" under /memory
according to reddit, this basically runs a subagent periodically to consolidate Claude's memory files for better long-term storage
this is pretty crazy because that's basically how humans store long-term memories if you think about it - by sleeping
With agents getting better and working for longer, feels no longer productive to wait several minutes for each task to finish. I resigned, I don't want to know what code they produce anymore, I fully embrace multi-agentic coding.
This codebase is modular enough so I can coordinate with a simple agent_inbox/ files communication protocol.