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istvan_intrnd

Ask HN: PMs using Linear: how do you keep decision context from getting lost?

Founder here.I’m seeing teams run execution in Linear but lose decision rationale across meetings, Slack threads, and time.When issues are revisited, context/understanding is gone.How do you handle this today? I’m looking for a few PMs who want to act as early design partners or advisors for something I’m building in this space.

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I did use langchain in the very early days and was a contributor as well, but I just found myself needing to constantly have to change it for my needs...so that's why I moved away.

Do you get into situations like that where the framework just can't serve your needs? if yes, would you please list up a couple.

Ask HN: What agent frameworks are you using, and how well do they work?

We’ve built and used our own custom agent framework for a while (before “agents” became a mainstream term), mainly because existing tools didn’t fit our needs around control, observability, and composability.I’m curious what others are actually running in production today—custom frameworks, LangGraph, AutoGen, CrewAI, homegrown pipelines, etc. and how satisfied you are with them.What’s working...

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Re:Is there an hour by hour model quality tracker? on Tuesday December 09, 2025 @08:17PM (#46212920)
I have noticed this 100%. My theory is that they are serving quantized versions of the models randomly to save costs.

It is counterproductive to force cache on all tools of an agent

To make agentic cache work, LLM providers force frameworks to add all tools into the cached prompt. This is the main reason why I cannot properly use cache in my own agentic framework, where the set of tools changes in function of objectives. It confuses most base models, and however many times they say it doesn't my observations contradict this. How about yours?

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