← Back to search
github Active AI dev

Repository profile

jasontang-ai/Context-Engineering

"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — 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.

Python MIT main Stack scanned README.md
Stars
9,121
Forks
1,014
Watchers
112
Issues
3
Commits
1,140
Awesome lists
0

Repository updates

Follow repository updates

Get generated jasontang-ai/Context-Engineering development summaries by email, or follow the weekly and monthly RSS feeds.

Sign in to subscribe by email. RSS feeds are public.

Sign in to subscribe

Activity and growth

Tracked growth, recent movement, and commit velocity from stored repository snapshots.

Latest capture 2026-06-27 03:09

Star growth, last 7 days
0 0.0%
Commit velocity, last 7 days
0 0.0%
Stars since baseline
0
Snapshot coverage
1

Tracked growth

1 capture since 2026-06-27

Stars from baseline 0

Time horizon

All tracked data

Stars history

Total stars

Commits history

Default branch commits

Detected stack

Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.

Scanned 2026-06-27 03:09

Stack signals
0
Package managers
0
Manifest files
0
Dependencies
0

Frameworks and tools

  • No framework dependencies detected.

Dependency files

  • No dependency manifests detected.

Classification

Searchable topics, generated tags, and stack labels that explain where this repository fits.

Topics
0
Tags
0
Stacks
0

Topics

No topics indexed.

Generated tags

No generated tags yet.

Stack labels

No stack labels yet.

AI development signals

Agent instructions and tool configuration paths found in the repository tree.

21 paths

AI agent config detected

21 config paths 19 files 2 directories
Claude Code 20 Gemini CLI

Key config paths

Review config paths

Similar repositories

Nearest indexed repositories by embedding similarity.

davidkimai/Context-Engineering

"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — 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.

9,076 stars
Python 2 awesome lists

NirDiamant/Prompt_Engineering

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

7,639 stars
Jupyter Notebook 2 awesome lists

dair-ai/Prompt-Engineering-Guide

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

75,755 stars
MDX 5 awesome lists

langgptai/LangGPT

LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词(Structured Prompt)提出者 📌 元提示词(Meta-Prompt)发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-prompt design 10,000+ ⭐ | Battle-tested by thousands of users worldwide Created by 云中江树

12,231 stars
Jupyter Notebook 3 awesome lists

deanpeters/product-manager-prompts

A repository of Generative AI prompts for product managers using agents such as ChatGPT, Claude, & Gemini

954 stars
Python 2 awesome lists

greyhaven-ai/autocontext

a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task

1,223 stars
Python 1 awesome list

Metadata

Language
Python
License
MIT
Default branch
main
Created
2025-06-29
First commit
2025-06-29
Last pushed
2026-02-27
GitHub updated
2026-06-26
Last synced
2026-06-27 03:09
Stack detected
2026-06-27 03:09
Archived
no
GitHub Website

https://deepwiki.com/davidkimai/Context-Engineering

README

Appears in

0
  • No awesome list links recorded.