# coleam00/context-engineering-intro

Context engineering is the new vibe coding - it's the way to actually make AI coding assistants work. Claude Code is the best for this so that's what this repo is centered around, but you can apply this strategy with any AI coding assistant!

Repository: https://github.com/coleam00/context-engineering-intro
Canonical: https://ross.abutalabs.com/products/context-engineering-intro
Language: Python
License: MIT
License Family: permissive
Last push: 2026-03-16T12:13:59+00:00

## Health v2 (maintenance only)
Score: 51/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 72, release rhythm 35, longevity 30
- inputs: {"age_days": 427, "days_push": 170, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 13800, forks 2723 (observed 2026-08-28T04:11:04.820828+00:00)

## What it is
A template and tutorial repository introducing 'context engineering' - a discipline of providing AI coding assistants with comprehensive context (rules, examples, validation) rather than simple prompts. It centers on Claude Code workflows with slash commands to generate and execute Product Requirements Prompts (PRPs).

## Use cases
- set up context engineering for claude code
- generate product requirement prompts for ai coding
- make ai coding assistants follow project conventions
- learn context engineering instead of prompt engineering
- template for structuring ai-assisted feature development
- reduce ai agent failures from missing context

## When to choose
- you use Claude Code or another AI coding assistant and want a structured workflow for feature implementation
- you want a ready-made template with PRP generation and execution commands
- you are learning how to give AI assistants comprehensive project context

## When to avoid
- you need production software rather than a template and methodology guide
- you don't use AI coding assistants in your workflow
- you want a fully automated agent framework rather than a manual context workflow

## Facets
- artifact type: learning-resource
- maturity: active
- function: prompt-engineering, developer-tools, workflow-automation, documentation
- domain: artificial-intelligence, large-language-models, developer-tools, tutorials
- platform: cli, cross-platform, python
- tags: context-engineering, claude-code, ai-coding-assistants, prp, template, vibe-coding, ai-agents

## Member repositories
- coleam00/context-engineering-intro (main) score 51

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:04.820828+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:13:02.072985+00:00, confidence not recorded.
  - readme: https://github.com/coleam00/context-engineering-intro (fetched 2026-08-28T04:11:04.820828+00:00, sha 3da371a1202c)
- Data as of 2026-08-30T08:39:29.467469+00:00.