@tomsvibes_: Je vous le répète souvent : prendre soin de sa peau, c'est important 💪🏻 Mais savoir ce dont elle a vraiment besoin et surtout quels produits utiliser, ça l'est encore plus. Et parfois, plutôt que de chercher les réponses tout seul, le mieux reste d'en parler à un médecin. C'est justement ce que j'ai décidé de faire aujourd'hui 🫶🏼 Et si tu te reconnais là-dedans, notamment si tu as de l'acné, n'attends pas pour en parler à un professionnel sur ce Lien 👉🏼 https:// www.acne-severe.com/ prendre-rendez-vous-professionnel-de-sante/ #skincare #SelfCare #DailyRoutine #getreadywithme #fyp

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Friday 09 October 2026 09:08:53 GMT
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Everyone's arguing about which one matters. 🥊 They're not competing. They're layers. 🧱 Here's how AI engineering actually evolved 👇 01 · PROMPT ENGINEERING ✍️ Controls the words. One prompt, one response. → Then words alone stopped scaling. 02 · CONTEXT ENGINEERING 📚 Controls what it sees. Retrieval, memory, token budget. → Then it needed to actually DO things. 03 · HARNESS ENGINEERING 🔧 Controls what it can do. Tools, guardrails, retries, runtime. → Then one pass wasn't enough. 04 · LOOP ENGINEERING 🔁 Controls how work repeats. Plan → act → observe → until done. → Then one worker wasn't enough. 05 · GRAPH ENGINEERING 🕸️ Controls how work moves. Nodes, routing, state, humans. → Now you're an architect. 🏗️ Here's the part people get wrong 👀 Each layer wraps the one below it. 🎁 Graphs still contain loops. Loops still need a harness. The harness still needs context. Context is still just... a prompt underneath. 🧠 You never stopped doing prompt engineering. You just built more scaffolding around it. 🏗️ You don't replace the layers. You stack them. 📚 So the real skill isn't picking the newest one. It's knowing which layer your problem actually lives on. 🎯 Slow output? That's a context problem, not a graph problem. Wrong tool called? Harness. Never finishes? Loop. Too many things to coordinate? Graph. Save this one. 🔖 It'll save you from rebuilding the wrong layer. 😅 Follow @hackproduct — we turn scary AI-engineering concepts into things you can actually ship. ⚡ #AIengineering #promptengineering #contextengineering #AIagents #LLM
Everyone's arguing about which one matters. 🥊 They're not competing. They're layers. 🧱 Here's how AI engineering actually evolved 👇 01 · PROMPT ENGINEERING ✍️ Controls the words. One prompt, one response. → Then words alone stopped scaling. 02 · CONTEXT ENGINEERING 📚 Controls what it sees. Retrieval, memory, token budget. → Then it needed to actually DO things. 03 · HARNESS ENGINEERING 🔧 Controls what it can do. Tools, guardrails, retries, runtime. → Then one pass wasn't enough. 04 · LOOP ENGINEERING 🔁 Controls how work repeats. Plan → act → observe → until done. → Then one worker wasn't enough. 05 · GRAPH ENGINEERING 🕸️ Controls how work moves. Nodes, routing, state, humans. → Now you're an architect. 🏗️ Here's the part people get wrong 👀 Each layer wraps the one below it. 🎁 Graphs still contain loops. Loops still need a harness. The harness still needs context. Context is still just... a prompt underneath. 🧠 You never stopped doing prompt engineering. You just built more scaffolding around it. 🏗️ You don't replace the layers. You stack them. 📚 So the real skill isn't picking the newest one. It's knowing which layer your problem actually lives on. 🎯 Slow output? That's a context problem, not a graph problem. Wrong tool called? Harness. Never finishes? Loop. Too many things to coordinate? Graph. Save this one. 🔖 It'll save you from rebuilding the wrong layer. 😅 Follow @hackproduct — we turn scary AI-engineering concepts into things you can actually ship. ⚡ #AIengineering #promptengineering #contextengineering #AIagents #LLM

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