PROMPT 4 : Accélérateur d'Apprentissage Pour quoi :Apprendre des sujets complexes 5-10× plus vite. Prompt complet : "Agis comme un expert enseignant/professeur en [SUJET]. Explique ce concept de façon claire et efficace : [CONCEPT PRÉCIS] Structure ton explication ainsi :
PROMPT ENGINEERING
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AI Prompt for Clarifying Confused Thoughts into Structured Concepts
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PROMPT 3 : Clarificateur de Pensées Pour quoi :Transformer des idées confuses en concepts structurés. Prompt complet : "Je vais partager une idée brute ou des pensées désorganisées. Ta mission : 1. Clarifier l'idée centrale :→ Extrais le concept principal en 1-2 phrases →
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Automatic Harness Synthesis for LLM Agents Research
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New research on automatic harness synthesis for LLM agents. Great read if you are engineering your own agent harness. The agent harness is the scaffolding that lets an agent interact with its environment: tools, code execution, file systems, APIs. Building a good harness is
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AI optimize their algorithmic strategies
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AI agents are algorithmically driven to produce results, so they naturally and logically seek the best strategies to achieve them—it's so obvious.
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Viewing every interaction as a prompt for AI
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That each post is a prompt. When you figure that out a whole world awaits.
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Claude Skills Simply Means Writing Clear Instructions in Text
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“Learn Claude skills” My brother in Christ, it’s just a text file where you have to explain what you want done
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New CARPRT Method for Class-Specific Prompt Weighting in AI
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What are the Chances of That? How to Think About Uncertainty: http://
amzn.to/4q7atJi by @itabn_andrew #Probability #Statistics #Mathematics -
Getting Started Guide to Claude Code AI Agents
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folks who are just getting started: here's my step-by-step guide for setting up and using claude code – designed to show the power and reach of AI agents and beginner enough for anyone to jump in
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Dex Horthy on Context Engineering and AI Innovation
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Everything Context Engineering & Cookoff between @dexhorthy, co-founder and CEO of @humanlayer_dev, and @allenpark.
— Latent.Space (@latentspacepod) 6 mars 2026
0:12 – Meet Dex Horthy (Humanlayer) + Cooking Challenge
1:15 – Tasting Dan Dan Noodles
1:25 – How Dex Got a NASA Internship at 17
3:36 – The Origin of “Context… pic.twitter.com/EA3rfhjYK9Everything Context Engineering & Cookoff between @dexhorthy
, co-founder and CEO of @humanlayer_dev
, and @allenpark
. 0:12 – Meet Dex Horthy (Humanlayer) + Cooking Challenge
1:15 – Tasting Dan Dan Noodles
1:25 – How Dex Got a NASA Internship at 17
3:36 – The Origin of “Context -
Why most finance prompts fail
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What separates these prompts from the ones circulating on X: Most finance prompts follow the same pattern: "You are a Goldman VP. Give me a DCF." That's a search query dressed as a prompt. It produces generic output because Claude gets no methodology, no constraints, and no