aicoolies logo

Context Engineering Intro

Context engineering patterns for AI coding assistants

Share
open-sourceOpen Source
Visit Website →

Context Engineering Intro is an open-source repository by Cole Medin providing structured context engineering patterns for AI coding assistants. Built around Claude Code, it includes .claude command files, PRP templates, and the WISC framework for managing AI context in coding sessions. The repo shows how to structure project context and rules so AI assistants produce reliable, architecture-aware code. With 13K+ GitHub stars, it is a go-to reference for context-first AI coding.

Context Engineering Intro is a practical, open-source repository created by Cole Medin that teaches developers how to apply context engineering principles to AI-assisted coding workflows. Rather than treating AI coding assistants as simple autocomplete tools, the project introduces structured methodologies for feeding project context, architectural decisions, and coding standards into AI systems like Claude Code, Codex, and OpenCode. The repository includes pre-built .claude command files for generating and executing PRPs (Prompt-Ready Plans), a template system for breaking complex features into AI-digestible tasks, and configuration examples that demonstrate how to set up project-wide rules that persist across coding sessions.

The centerpiece of the project is the WISC framework, derived from Anthropic's four context engineering strategies, which provides a repeatable process for managing context in coding sessions. Developers learn to structure their projects with CLAUDE.md files containing architecture rules, establish command workflows that guide AI assistants through multi-step implementations, and use plan-then-execute patterns that significantly reduce hallucination and architectural drift. The repository also includes practical use cases such as building with agent teams and applying context engineering to full-stack development projects.

With over 13,000 GitHub stars since its launch in 2025, Context Engineering Intro has become one of the most popular resources for developers seeking to move beyond basic AI prompting. Cole Medin, known for his YouTube content on AI coding, designed the project as both an educational resource and a working toolkit. The patterns are framework-agnostic despite centering on Claude Code, making them applicable to Cursor, Windsurf, and other AI coding environments.

Pricing

Free and open source under MIT license

Platforms

CLI, Claude Code, any AI coding assistant

Categories

Documentation & KnowledgeSystem Prompts & RulesAgent Skills & Prompts

Tags

Open Sourcecontext engineeringclaude codewisc frameworkPrompt Engineering

Use Cases

Code ReviewCode Generation

Alternatives

Composio logo

Composio

Tool infrastructure for AI agents

Composio connects AI agents to 1,000+ app toolkits with managed auth, delegated user connections, sessions, tool search, MCP gateway support, CLI workflows, and sandboxed workbench execution. It targets developers building Claude, Codex, Cursor, LangChain, CrewAI, OpenAI Agents SDK, and custom agent workflows that need authenticated business actions without hand-rolling every API integration.

freemiumOpen Source
LangGraph logo

LangGraph

Stateful agent orchestration framework by LangChain

LangGraph is LangChain's framework for building stateful, multi-actor AI agent applications as controllable graphs. It models workflows as nodes and edges, enabling cycles, branching, and human-in-the-loop patterns that simple chains cannot express. Features built-in persistence for conversation memory, streaming support, and fault tolerance. Provides fine-grained control over execution flow while supporting single-agent and multi-agent architectures with shared or independent state.

open-sourceOpen Source

Graphify

Turn code and docs into a queryable knowledge graph

Graphify is an open-source AI coding assistant skill that transforms folders of code, documentation, research papers, and images into queryable knowledge graphs. It works as a skill for Claude Code, Codex, OpenCode, and other AI coding assistants. Using tree-sitter AST parsing for 19 programming languages and Claude vision for documents and images, it builds NetworkX graphs with Leiden community detection, outputting interactive HTML visualizations and structured JSON for codebase exploration.

open-sourceOpen Source
Archon logo

Archon

AI agent that builds other AI agents

Archon is an open-source AI meta-agent created by Cole Medin that autonomously builds, refines, and optimizes other AI agents. Now evolving into Archon OS, it serves as a knowledge and task management backbone for AI coding assistants. The system uses an agentic coding workflow with framework knowledge bases for Pydantic AI, LangGraph, and other agent frameworks, enabling developers to describe what they need and let Archon generate the agent code, test it, and iterate until it works.

open-sourceOpen Source

Related Tools

Hermes Agent logo

Hermes Agent

Top Pick

Open-source AI agent framework with persistent memory, reusable skills, tools, and messaging gateways

Hermes Agent is an open-source AI agent framework with persistent memory, reusable skills, 40+ tools, cron jobs, and messaging gateways.

open-sourceOpen Source
Intercom MCP Server logo

Intercom MCP Server

Intercom's remote MCP server for support and Help Center context.

Intercom MCP Server is Intercom's hosted remote MCP server for connecting AI tools to Intercom workspace data. It supports the recommended Streamable HTTP endpoint, OAuth or bearer-token authentication, and tools for conversations, contacts, companies, and Help Center article workflows, with access limited by token permissions and Intercom workspace policy.

freemiumTelemetry

OpenWiki

LangChain CLI for maintaining agent-friendly codebase documentation

OpenWiki is LangChain’s open-source CLI for generating and maintaining an agent-focused wiki inside a codebase. It can create an openwiki/ documentation folder, update it from repository changes, add guidance to AGENTS.md or CLAUDE.md, and run via an interactive CLI or daily GitHub Action so coding agents have durable context without stuffing every detail into prompts.

open-sourceOpen SourceTelemetry

Codebase Memory MCP

Codebase knowledge graph MCP server for AI coding agents

Codebase Memory MCP is an MIT-licensed MCP server that turns a repository into a persistent code knowledge graph for AI coding agents. It gives Claude Code, Cursor, Codex-style agents, and other MCP clients structural queries for functions, classes, call chains, routes, and architecture, helping them explore large projects without repeatedly rereading files or relying only on broad search.

open-sourceOpen SourceTelemetry
BeeAI Framework logo

BeeAI Framework

Python and TypeScript framework for production multi-agent systems

BeeAI Framework is an Apache-2.0 toolkit for building production-ready AI agents and multi-agent systems in Python and TypeScript. Its docs cover agents, tools, RAG, memory, workflows, backend providers, serving, and A2A/MCP integration surfaces, making it a vendor-neutral option for teams comparing LangGraph, CrewAI, Mastra, and related agent runtimes.

open-sourceOpen SourceTelemetry
Superserve logo

Superserve

Open-source Firecracker sandboxes for long-running AI agents

Superserve is an open-source sandbox infrastructure layer for AI agents that need durable computers instead of short-lived shells. It runs isolated Firecracker microVMs, supports pause, resume, snapshot, fork, preview URLs, MCP connectivity, SDK/API control, Docker workloads, and self-hosting, while the hosted service adds pay-as-you-go agent sandboxes for teams.

open-sourceOpen Source