Anthropic just dropped a Bible for AI Agent Developers — and it’s pure gold. If you're building autonomous agents, this isn't just a good read — it's a must. It’s packed with real-world coding + deployment strategies that separate toy projects from production-grade AI systems. Here’s your quick summary (🔖 save this): 1. Agent design ≠ prompting It’s not just about clever prompts anymore. Build structured workflows: reason → act → reflect → retry → escalate. 2. Memory is architecture Context = power. Use structured summaries, scoped retrieval, and smart storage. Prompt-dumping is obsolete. 3. Planning isn’t optional Multi-step problems need plan → execute → review systems. No matter what model you use — Claude, GPT, or Gemini. 4. Real agents need real tools Shell access. Git. APIs. Plugins. Let your agents execute — not just explain. 5. ReAct & CoT aren’t magic tricks They’re patterns to engineer in. Structure your agents to think first, act later, reflect always.