AI Engineer Wiki

A personal knowledge base for building foundational AI engineering knowledge, maintained by Claude Code.

Purpose

This wiki follows the LLM Wiki pattern pioneered by Andrej Karpathy. It serves as both:

• A structured study companion for the Claude Certified Architect – Foundations exam
• A growing reference for AI engineering best practices

The exam covers five domains: agentic-architecture, tool-design-mcp, claude-code, prompt-engineering, and context-reliability.

Folder Structure

raw/          -- immutable source documents (PDFs, papers)
wiki/         -- markdown pages maintained by Claude
  index.md    -- table of contents for the entire wiki
  log.md      -- append-only record of all wiki operations
templates/    -- page templates
CLAUDE.md     -- instructions for Claude

Build Process

This wiki is maintained through a structured workflow:

1. Ingest — Source documents go in raw/, then Claude extracts and synthesizes key ideas
2. Connect — New pages are cross-linked via [[wiki-links]] to build a web of knowledge
3. Maintain — wiki/log.md tracks every addition and change with timestamps

Wiki Pages

Page	Description
agentic-architecture	Designing autonomous AI systems that plan, use tools, and adapt
tool-design-mcp	Building reliable tools and MCP servers for AI agents
claude-code	Using Claude Code CLI effectively
prompt-engineering	Crafting prompts that get reliable, high-quality outputs
context-reliability	Managing context window, retrieval, and long-horizon coherence
context-reliability	Exam study guide with domain breakdown

License

MIT — See LICENSE for details.