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What's different: It's honest about failures, real costs ($300-400/mo per dev), and realistic gains (20-30%, not 50%). Includes a "jumpstart" script that asks 7 questions and generates personalized setup in 3 minutes.
Includes 10,000+ lines of docs, production-ready agents (test, security, review), and templates. Not affiliated with Anthropic - just a developer sharing what works.
Feedback welcome!
Author here. I built this after watching developers spend 2-3 hours setting up Claude Code, only to get mediocre results because they skipped proper context setup.
The "jumpstart" script asks 7 questions (language, framework, project type, etc.) and generates a personalized CLAUDE.md, agents, and commands in 3 minutes. It's the setup I wish existed when I started.
What makes this different from typical AI coding guides:
1. Honest about failures - There's a whole section on when Claude gets it wrong and how to recover 2. Real costs - $300-400/month per developer (Claude Max + API usage for heavy use) 3. Realistic gains - 20-30% productivity after Week 4, not the 50-100% you see in marketing 4. Week 1 is slower - The learning curve is real, documented it honestly
Technical highlights: - Production-ready agents with YAML frontmatter config - Tool restrictions (Read/Write/StrReplace only when appropriate) - Context management patterns (stay under 80%) - Git integration with checkpoint/rewind workflows
The core insight: 80% of success comes from proper CLAUDE.md setup. Most people skip this and wonder why results are poor. The jumpstart script forces you to think through project context upfront.
Not affiliated with Anthropic - just a developer who wanted better resources than "here's the docs, good luck."
Happy to answer questions about what works, what doesn't, and the real cost/benefit tradeoffs.