it's so over: → claude.com/claude-for-word claude.com/claude-for-word
PROMPT ENGINEERING
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Agent Harnesses and Memory as Context Architecture
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a big part of agent harnesses is how they interact with context memory is just context its therefor impossible to separate harness from memory – as @sarahwooders says, "memory isn't a plugin (it's a harness)"
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LongCat: Advanced Image Editing With Long-Context Understanding
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LongCat: Scaling Image Editing With Long-Context Understanding
— Satya Mallick (@LearnOpenCV) 11 avril 2026
In this episode of Artificial Intelligence: Papers and Concepts, we explore LongCat, a new approach to AI-powered image editing that focuses on handling complex, multi-step instructions with long-context… pic.twitter.com/aYVvURSNLwLongCat: Scaling Image Editing With Long-Context Understanding In this episode of Artificial Intelligence: Papers and Concepts, we explore LongCat, a new approach to AI-powered image editing that focuses on handling complex, multi-step instructions with long-context understanding. Instead of making isolated edits, LongCat is designed to follow detailed prompts that require consistency across multiple changes bringing AI closer to real creative workflows. We break down why traditional image editing models struggle with sequential instructions, how LongCat maintains coherence across edits, and what this means for designers and creators working with AI tools. If you’re interested in generative image editing, multimodal models, or the future of AI-assisted creativity, this episode explains why LongCat represents an important step toward more controllable and context-aware image generation. Resources: Paper Link: arxiv.org/pdf/2512.07584v1 Interested in Computer Vision and AI consulting and product development services? Email us at contact@bigvision.ai or visit us at bigvision.ai
→ View original post on X — @learnopencv, 2026-04-11 14:12 UTC
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LLM style fixable with understanding of defaults
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I am not just talking about the em-dashes and phrasing ("doing the heavy lifting"). Those are more fixable than style, which will always default to an LLM-normal even if that normal changes with new LLMs. You can make LLMs write differently, but you need to understand what to do.
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Experimental GPT modes: strict mode and Codex server testing
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there’s two experimental modes for gpt we are currently testing. You can enable strict mode that nudges the model to keep working; and you can switch to codex app server as harness.
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Agentic AI Patterns: Operating Models Over Features
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Agentic AI patterns ≠ features. They’re operating models. ReAct → execution CodeAct → engineering Self-reflection → accuracy Multi-agent → complexity Agentic RAG → knowledge Pick based on decision risk, not hype.
→ View original post on X — @ingliguori, 2026-04-11 12:17 UTC
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Free library of 10,000+ prompts for Claude, ChatGPT, Gemini
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Te regalo esta web con más de 10,000 prompts con MILES de opciones para Claude, ChatGPT y Nano Banana (Gemini)
— Nico (@nicos_ai) 11 avril 2026
Divididos por usos, profesiones y más
100% gratis aquí abajo ⬇️ pic.twitter.com/E0q146uK3vI’m gifting you this website with over 10,000 prompts featuring THOUSANDS of options for Claude, ChatGPT, and Nano Banana (Gemini) Divided by uses, professions, and more 100% free right below
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/ultraplan: Build implementation plans in cloud while coding locally
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🚨 Claude Code users, your workflow is about to get significantly faster.
— Charly Wargnier (@DataChaz) 11 avril 2026
The new `/ultraplan` is incredibly mighty 🔥
Instead of locking up your terminal, Claude now lets you build and refine your implementation plans in the cloud while you keep working locally.
Here is… pic.twitter.com/REQkMPmvz3🚨 Claude Code users, your workflow is about to get significantly faster. The new `/ultraplan` is incredibly mighty 🔥 Instead of locking up your terminal, Claude now lets you build and refine your implementation plans in the cloud while you keep working locally. Here is exactly how to use it: → Type /ultraplan followed by your prompt in your local terminal → Keep coding while Claude researches your codebase in the cloud → Open the generated session link in your browser to leave inline feedback → Click to approve the plan and teleport it back to your terminal The finalized plan is injected right back into your local session, ready to be built ↓
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Scoble Asks Grok to Confirm His Identity
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Hey Grok is Robert Scoble right? Answer: nitter.net/i/grok/share/5168c3720… [Translated from EN to English]
→ View original post on X — @scobleizer, 2026-04-11 07:17 UTC
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ChatGPT that executes tasks instead of providing guidance
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wen chatgpt that does the work instead of telling me how i can do it myself