chandureddyvari

I think they did try lot of stuff, I remember seeing a video from Openai demo in japan or something where they were trying to replace the SDR job for $1,xxx $/mo using voice agents. Also they tried doing Fwd deployed enggs to break into enterprise services among bunch of other things. For LLMs and AI labs coding has been the best PMF (discovered after claude codes' disruption) and they're still actively figuring out other areas to disrupt - like robotics, knowledge work, medical sciences, drug discovery etc. Though i believe their DNA would be completely different from traditional companies, like how claude code is completely different.

It's not like they're trying, they are trying very hard

which provider is this?

If you’re like me and often create product specs and technical design docs for agents, I found these kind of specs(if LLM generates) mostly would be 10s of pages and you are subjected to fatigue from reading and reviewing them.

What worked for me was to ask Astra/Fable to include pseudo code in the design doc. which comes to 1-2 pages. Easy for me to skim and change the direction/approach. Rest all of the flowery language is for LLM giving context.

It also depends on your skills and tooling (test execution and verification- agent browser, functional/unit etc) GPT 5.6 Sol lagging behind Kimi, GLM 5.3 is surprising to me.

IMO Fable 5.1 ~ Astra > GPT 5.6 Sol > Opus.

I commit them to git(so complete team leverages them)., each repo has kind of different skills and the skills are the ones which I update at least twice a week. I’ve skills on how to add instrumentation , debug, code, code review, tech design review etc. I found most of the skills I find on skills.sh are not very useful for me., but I browse occasionally to get some inspiration. One more paradigm I’m seeing good results on adding new skills is ‘how to do X’, for instance ‘how to add logs’., “how to review code” etc., if i’m not able to frame it that way I don’t think it’s a good use case for me to add that skill to the llm arsenal.

Another thing i discovered is less is more (in case of skills as well)., don’t add lots of skills., keep them very handful - I’ve got 9 skills so far (many people have 100s installed from marketplaces and plugins)

From quick glance I don’t think so that’s the case. copliotkit promises ag-ui compatiblity., which means it can work with codex cli, mastra, pi, claude agents sdk and other harnesses as well (there are ag ui adapters as well). I’m actually integrating this with claude agent sdk with ag ui adapter., which i don’t think is possible with vercel chat sdk.

Took me a bit to understand what Wire does, but then it clicked. we’ve built something similar at a smaller scale inside R2, though right now it’s only for .md files.

I can see this becoming much more useful once the docs get heavier: large PDFs, XLSX files, images, etc. At that point you probably need embeddings, reranking etc. But I think agents are smart enough to write scripts to retrieve what they want if we run them on a sandbox(which we are trying to do currently). bookmarking this for now.

Good write-up though!

I’m currently cobbling sub agents with hooks, workflows looks very promising for doing things more predictably.

Is this equivalent of DAGs for sub agents inside claude code? Can i pause and resume/retry workflows? How stateful are they?

Really appreciate it someone claude code can throw more light on above. I’m trying to see if I can get langgraph equivalent DAGs here.

Wasn't Mythos a step change improvement?

What’s your favourite harness? Is there any benchmarks for harness like LLMs have for swe verified?

I was to talking to a YC founder, his biggest fear is waking up to a new Claude launch making his startup obsolete the next morning.

Similar sentiment shared with other startup founders- check on x about all VCs talking about moats against big labs.

or the word 'canonical'

some of them are non existent today. Check the parent thread - some good recommendations(for 2023) on both functional websites and pretty websites. At that time if I recall linear landing page was all rage, and there were many copycats.