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Best for engineers who want to design and build professional agent applications.

Shared starting points

  • Environment Setup: the shared local setup guide for running starter-code checks before deeper implementation work.
  • Sample Projects: the public guide to current example starters and where they live in the repo.

Suggested sequence

  1. What Are Agent Systems
  2. History Of Agent Ideas
  3. LLM Foundations For Agent Systems
  4. Agents Vs Workflows
  5. Reasoning And Control Patterns
  6. Planning And Reflection
  7. Agent Memory And Retrieval
  8. Agent Runtime Building Blocks
  9. Context Engineering
  10. Protocols And Interoperability
  11. Evaluation And Observability
  12. Deep Research Agents
  13. Agent Frameworks
  14. Agent Platforms And Low-Code Builders
  15. Radar

What this path optimizes for

  • Reusable implementation patterns
  • Production-minded system design
  • Concrete examples that connect ideas to real builds
  • Comparative awareness of tools and platforms