The New Skill in AI is Not Prompting, It’s Context Engineering
Context Engineering is the new skill in AI. It is about providing the right information and tools, in the right format, at the right time.
Research Resource Collection
Summary
The Awesome-Context-Engineering repository curates a comprehensive collection of papers, frameworks, and implementation guides on context engineering for large language models (LLMs) and AI agents, spanning from prompt design to production‑grade systems.
Highlights
- Curated list of hundreds of academic papers and open‑source projects related to context engineering, retrieval‑augmented generation, and memory‑augmented LLMs.
- Covers formal definitions, system architectures, scaling strategies, and integration of structured data for dynamic prompting.
- Highlights practical challenges such as evaluation metrics, enterprise deployment, and agent communication protocols.
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Context
Audience
Researchers, machine learning engineers, and developers building or studying context‑aware LLM applications
DomainArtificial Intelligence / Large Language Models
Formatopen‑source repository (GitHub)
Accessfree online
Topics
Related
Prompt EngineeringRetrieval‑Augmented GenerationLLM Memory SystemsAI Agent FrameworksProduction AI Infrastructure