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Context-Engineering

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Python

Project Description

"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." โ€” Andrej Karpathy. A frontier, first-principles handbook inspired by Karpathy and 3Blue1Brown for moving beyond prompt engineering to the wider discipline of context design, orchestration, and optimization.

Context-Engineering: "Context engineering is the delicate art and science of filling the context window with just the rig

Project Title

Context-Engineering โ€” A Frontier Handbook for Context Design, Orchestration, and Optimization

Overview

Context-Engineering is a comprehensive handbook that transcends traditional prompt engineering, focusing on the broader discipline of context design, orchestration, and optimization. It is inspired by Andrej Karpathy and 3Blue1Brown, aiming to provide a systematic approach to managing the information payload provided to large language models (LLMs) at inference time. This project stands out for its focus on the "everything else" beyond the single prompt, including examples, memory, retrieval, tools, state, and control flow.

Key Features

  • Systematic analysis of over 1400 research papers on context engineering.
  • Support for various LLM tools and platforms like Claude Code, OpenCode, Amp, Kiro, Codex, and Gemini CLI.
  • In-depth exploration of context as the complete information payload provided to an LLM, beyond just the single prompt.

Use Cases

  • Researchers and developers looking to understand and implement context engineering principles in their projects.
  • Teams working with LLMs to optimize the information payload for improved performance on specific tasks.
  • Educators and students in AI and machine learning who need a comprehensive resource for understanding the latest research on context engineering.

Advantages

  • Provides a structured approach to context engineering, moving beyond prompt engineering.
  • Offers a wealth of resources, including research papers and tools, for practical implementation.
  • Encourages a holistic view of context, considering all elements that influence an LLM's performance.

Limitations / Considerations

  • The project is still under construction, with a comprehensive course in development.
  • The effectiveness of context engineering may vary depending on the specific use case and the LLM being used.
  • Requires a deep understanding of LLMs and their operational mechanisms to fully leverage the handbook's content.

Similar / Related Projects

  • Awesome Context Engineering Repo: A curated list of resources related to context engineering, differing in its focus on aggregation rather than a systematic approach.
  • MEM1 Singapore-MIT: A research paper on context engineering, offering a specific study rather than a comprehensive handbook.
  • Latent Reasoning: A research paper focusing on a specific aspect of context engineering, latent reasoning, in contrast to the broader scope of Context-Engineering.

Basic Information

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Project Information

Created on 6/29/2025
Updated on 12/30/2025