prompt & context engineering: 14 curated resources
prompt & context engineering
14 resources · page 1 of 1
Awesome Context Engineering
by Lingrui Mei
Awesome Context Engineering GitHub repo: survey and curated paper list on context engineering for LLMs.
Anthropic courses
by Anthropic
Anthropic courses GitHub repo: notebooks on the Claude API, prompt engineering, evaluations and tool use.
Bolt.new Blog: Prompting
Bolt.new blog posts tagged Prompting, with guidance on prompting the StackBlitz Bolt app builder.
GitHub Docs: Copilot prompt engineering
by GitHub
GitHub documentation source on prompt engineering for GitHub Copilot.
Prompt Engineering Guide (Learn Prompting)
Learn Prompting's free, open-source prompt engineering guide for non-technical readers, from prompting basics to advanced techniques.
Claude prompt engineering overview
by Anthropic
Anthropic prompt engineering overview: when prompting is the right fix, with techniques and interactive tutorials for Claude.
Claude prompt caching docs
by Anthropic
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)
by Glean
Glean post arguing that agents need code-execution sandboxes rather than larger context windows for data analysis.
Context Engineering (LangChain)
by LangChain
LangChain post defining context engineering for agents as writing, selecting, compressing and isolating context.
LangChain docs: Context engineering
by LangChain
LangChain documentation source on context engineering in agents: controlling model context, tools and state.
Context Engineering Guide: Techniques for AI Agents (LlamaIndex)
by LlamaIndex
LlamaIndex guide to context engineering, covering memory, tool selection and context window techniques for agents.
The Prompt Report
by Sander Schulhoff et al. (University of Maryland, College Park)
arXiv paper (2024) The Prompt Report: a systematic survey and taxonomy of prompt engineering techniques.
Effective context engineering for AI agents (Anthropic)
by Anthropic
Anthropic post on context engineering for agents: treating context as finite, with compaction, memory and tool selection.
Context Engineering with Deep Agents (LangChain)
by LangChain
LangChain post on context engineering in Deep Agents using offloading, summarisation, skills, subagents and memory.