Follow AI Builders — Not Influencers

⚡github•37 minutes ago

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⚡github•about 1 hour ago

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⚡github•about 1 hour ago

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Hamel Husain

𝕏x•about 1 hour ago

Retweeted from @Doug

RT Doug Turnbull Re @hugobowne @HamelHusain People should write blog articles instead of skills

⚡github•about 1 hour ago

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Peter Steinberger

𝕏x•about 1 hour ago

No LLMs for finding bugs even?

@The Lunduke Journal

While the Linux Kernel is quickly becoming “Vibe Coded”, many other Open Source projects are outright banning all AI / LLM contributions. QEMU - “Policy is to DECLINE any contributions which are believed to include or derive from AI generated content.” NetBSD - AI generated

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Harrison Chase

𝕏x•about 1 hour ago

Different models need different prompts, sometimes tools “Harness profiles” are how we do that in deepagents

@LangChain

Deep Agents v0.6 makes harness profiles a first-class abstraction. Now, you can get production-grade performance from models like @Kimi_Moonshot, @Alibaba_Qwen, and @DeepSeek_ai at 20x+ lower cost than closed frontier APIs. More on tuning: https://www.langchain.com/blog/tuning-deep-agents-different-models

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Simon Willison

𝕏x•about 1 hour ago

Re I regret having missed that "harder to justify" line from my original quote, the paragraph it's embedded in was a little bit mangled but I should have worked harder to edit that in

Greg Isenberg

𝕏x•about 2 hours ago

How to use Obsidian with Claude in 61 seconds

Harrison Chase

𝕏x•about 2 hours ago

Retweeted from @LangChain

RT LangChain Deep Agents v0.6 makes harness profiles a first-class abstraction. Now, you can get production-grade performance from models like @Kimi_Moonshot, @Alibaba_Qwen, and @DeepSeek_ai at 20x+ lower cost than closed frontier APIs. More on tuning: https://www.langchain.com/blog/tuning-deep-agents-different-models