Prompt Context Engineering
14 resources · page 1 of 1
Awesome Context Engineering
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Awesome Context Engineering GitHub repo: survey and curated paper list on context engineering for LLMs.
Anthropic courses
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Anthropic courses GitHub repo: notebooks on the Claude API, prompt engineering, evaluations and tool use.
Bolt.new Blog: Prompting
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Bolt.new blog posts tagged Prompting, with guidance on prompting the StackBlitz Bolt app builder.
GitHub Docs: Copilot prompt engineering
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GitHub documentation source on prompt engineering for GitHub Copilot.
Prompt Engineering Guide (Learn Prompting)
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Learn Prompting's free, open-source prompt engineering guide for non-technical readers, from prompting basics to advanced techniques.
Claude prompt engineering overview
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Anthropic prompt engineering overview: when prompting is the right fix, with techniques and interactive tutorials for Claude.
Claude prompt caching docs
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Anthropic documentation on prompt caching: caching prompt prefixes to cut cost and latency, with cache lifetimes.
Why agents need sandboxes, not larger context windows (Glean)
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Glean post arguing that agents need code-execution sandboxes rather than larger context windows for data analysis.
Context Engineering (LangChain)
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LangChain post defining context engineering for agents as writing, selecting, compressing and isolating context.
LangChain docs: Context engineering
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LangChain documentation source on context engineering in agents: controlling model context, tools and state.
Context Engineering Guide: Techniques for AI Agents (LlamaIndex)
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LlamaIndex guide to context engineering, covering memory, tool selection and context window techniques for agents.
The Prompt Report
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arXiv paper (2024) The Prompt Report: a systematic survey and taxonomy of prompt engineering techniques.
Effective context engineering for AI agents (Anthropic)
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Anthropic post on context engineering for agents: treating context as finite, with compaction, memory and tool selection.
Context Engineering with Deep Agents (LangChain)
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LangChain post on context engineering in Deep Agents using offloading, summarisation, skills, subagents and memory.