Stop Vibe Coding - Context Engineering and RAG for AI Agents

Stop Vibe Coding - Context Engineering and RAG for AI Agents

n8n via YouTube Direct link

– Introduction: The challenge of too much “fluff” in the AI space and how to focus on what matters.

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1 of 19

– Introduction: The challenge of too much “fluff” in the AI space and how to focus on what matters.

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Stop Vibe Coding - Context Engineering and RAG for AI Agents

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  1. 1 – Introduction: The challenge of too much “fluff” in the AI space and how to focus on what matters.
  2. 2 – Meet Cole Meine: Background, expertise, and his mission in applied AI.
  3. 3 – What listeners will learn: Context engineering, RAG, and moving workflows to production.
  4. 4 – The origin of context engineering: Why treating prompts and context as engineered resources matters.
  5. 5 – Vibe coding vs. context engineering: The importance of specificity and reducing assumptions.
  6. 6 – Practical steps for context engineering: Mindset shift, planning, and using AI to ask clarifying questions.
  7. 7 – Success criteria and user journeys: How to define what “done” looks like for AI projects.
  8. 8 – How much time to spend on planning: Product requirement docs and upfront investment.
  9. 9 – Favorite AI coding tools: Cloud Code, Codex, and Google’s Anti-Gravity.
  10. 10 – Staying up to date in AI: Research strategies and the value of community.
  11. 11 – Introduction to RAG Retrieval Augmented Generation: What it is and why it matters.
  12. 12 – How RAG works: Embedding models, vector databases, and semantic search.
  13. 13 – Metadata filtering in RAG: Multi-tenancy, hierarchical search, and business use cases.
  14. 14 – Handling messy data: ETL/ELT pipelines and preparing data for AI agents.
  15. 15 – Scaling workflows: Moving from n8n prototypes to production code Python/TypeScript.
  16. 16 – Deployment strategies: Frontend, backend, and cloud hosting options.
  17. 17 – The importance of version control: Using GitHub for safe states and CI/CD.
  18. 18 – Final advice: Start simple, build your process, and customize your system.
  19. 19 – Where to find more: Cole Meine’s YouTube channel for more on RAG and context engineering.

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