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Matt Makai | Full Stack Python | Plushcap
A few resources on harness engineering I'm really enjoying learning from recently: * walkinglabs.github.io/learn-harness-… - excellent course that covers how to constrain agent behavior in a productive way, what the challenges are using LLMs especially maintaining context, and how to make the harness more agentic and work to the proper conclusion of a task * twotimespi.dev - build a simplified agent in Python (Tau). start with "uv tool install tau-ai" * humanlayer.dev/blog/skill-iss… - lessons and learnings from failing and succeeding to build harnesses for coding agents over 12+ months * langchain.com/blog/the-anato… - higher-level overview of the many components that need to come together properly in a harness to make an agent work
Matt Makai | Full Stack Python | Plushcap tweet media
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Supermicro
Supermicro@Supermicro·
Building AI at Scale: SemiAnalysis’s Dylan Patel in conversation with Supermicro CBO Vik Malyala
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Anton Malofeev 💙
Anton Malofeev 💙@antmalofeev·
@fullstackpython Thank you for sharing! I would like to also add if it will help someone simular project I'm developing to curate software ecology around the whole projects (what tools, skills, ethics required for certain scaling level per repo / project - github.com/Arenukvern/ski…
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