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  1. Vertex AI Pipelines, custom BART models on GPU, three separate AI services per review.

  2. Six mistakes every team makes building agent systems, and the architectural patterns that fix them.

  3. The MCP documentation shows you how to build a toy server.

  4. Seven months deep in Claude's ecosystem.

  5. Each tool is useful.

  6. The smartest tools in my stack were bottlenecked by the only component that needed coffee and sleep.

  7. Your AI agent has shell access and API keys.

  8. CacheBash started as an internal tool for coordinating AI sessions.

  9. Design patterns for bounded, vendor-neutral multi-agent systems in production.

  10. Five AI agents running in parallel.

  11. You open three terminal tabs.

  12. Most planning tools treat specs as a gate — pass/fail.