"Context Engineering for Multi-Agent Systems: Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning" โ at http://
amzn.to/448dSiA v/ @PacktDataML ๐ฆ๐ฑ๐ช๐ฝ ๐จ๐ธ๐พ ๐ฆ๐ฒ๐ต๐ต ๐๐ฎ๐ช๐ป๐ท:
Develop memory models to retain short-term and
PROMPT ENGINEERING
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Context Engineering for Multi-Agent Systems: Building Transparent Reasoning Architectures
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Mastering AI System Design: 10 Domain Driven Blueprints
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"Mastering AI System Design: Architect, Build and Deploy AI Systems Using 10 Domain Driven Blueprints and Interview Strategies" available at http://
amzn.to/3NFNOWF ๐๐๐๐ก๐ ๐ค๐ ๐พ๐ค๐ฃ๐ฉ๐๐ฃ๐ฉ๐จ:
1. Introduction to AI System Design
2. Crafting Intelligent Systems Using Prompt -
Practical Guide to Reinforcement Learning from Human Feedback
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New release from @PacktDataML available at http://
amzn.to/3PMn1ZL A Practical Guide to Reinforcement Learning from Human Feedback (RLHF). Amazon Summary: RLHF is a powerful approach to AI alignment and human-centered machine learning. By combining reinforcement learning -
Improving Claude AI Transparency Through Published Tool Descriptions
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The biggest challenge of using chat-based AI systems is that the details of what they can do are invisible – those tool descriptions are the missing manual, publishing them would be a huge benefit to people who want to get the most out of Claude
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Claude Power User Requests Tool Descriptions Publication
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Note to @AnthropicAI – much as I appreciate the public system prompts this would be so much more valuable to me as a Claude power user if you published the tool descriptions as well
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LLM Interface Evolution: Why Current Harnesses Fall Short
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In more words: It feels like weโre due for a paradigm shiftโฆ weโre maxing out the utility of LLMs in their current harnesses (Codex, Claude Code). Every year or two, the capabilities of models improve such that the interfaces we use arenโt good enough to capture the full value
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Opus 4.6 Model Selector Tool Capabilities Change
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I switched to Opus 4.6 in the model selector and asked about tools and seemed to get the same answer, which makes me think I would have needed to snapshot the tool descriptions a few weeks ago
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Does 4.7 Model Tighten Hedging Language or Tool Use?
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Did the 4.7 prompt tighten around hedging, or is it mostly tool-use phrasing?
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Single-shot vs branching prompts: structural variants exploration
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Is the prompt single-shot, or does it branch on variant dimensions (length, tone, thumbnail)?
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Agent Context Loss in Design Tools: Structured Data vs Screenshots
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external design tools lose agent context on every trip. Are your agents reading the design artifacts back as structured data, or as rendered screenshots?