Joined December 2009
1,714 Photos and videos
Chegou este excelente livro recém lançado. Sobre programação de Agentes de IA com o Claude Code. #AI #agent #coding #book
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Understanding Prompt Engineering, Context Engineering, and Harness Engineering through the Metaphor of a Horse zenn.dev/vinhphatfsg/article…
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Harness engineering is the discipline of building infrastructure to control, validate, and manage AI coding agents, shifting focus from "prompting" to "system design."
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It creates reliable, autonomous workflows by creating a "harness"—a surrounding environment with tools, memory, and guardrails—to turn AI models into dependable work engines.
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Ɲεi Ԍяαn∂σ 🚀 retweeted
If you enjoyed this, feel free to repost to support their work ♻️ For more on AI agents and LLM workflows, follow me → @datachaz
THIS is the wildest open-source project I’ve seen this month. We were all hyped about @karpathy's autoresearch project automating the experiment loop a few weeks ago. (ICYMI → github.com/karpathy/autorese…) But a bunch of folks just took it ten steps further and automated the entire scientific method end-to-end. It's called AutoResearchClaw, and it's fully open-source. You pass it a single CLI command with a raw idea, and it completely takes over 🤯 The 23-stage loop they designed is insane: ✦ First, it handles the literature review. - It searches arXiv and Semantic Scholar for real papers - Cross-references them against DataCite and CrossRef. - No fake papers make it through. ✦ Second, it runs the sandbox. - It generates the code from scratch. - If the code breaks, it self-heals. - You don't have to step in. ✦ Finally, it writes the paper. - It structures 5,000 words into Introduction, Related Work, Method, and Experiments. - Formats the math, generates the comparison charts, - Then wraps the whole thing in official ICML or ICLR LaTeX templates. You can set it to pause for human approval, or you can just pass the --auto-approve flag and walk away. What it spits out at the end: → Full academic paper draft → Conference-grade .tex files → Verified, hallucination-free citations → All experiment scripts and sandbox results This is what autonomous AI agents actually look like in 2026. Free and open-source. Link to repo in 🧵 ↓
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"Enterprises are feeling seriously overwhelmed when considering which technology products they should buy off the shelf; everything now markets itself as AI, and it’s never been harder to parse signal from noise."
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