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Breaktime Tech Talks

jmhreif

A bite-sized tech podcast for busy developers where we’ll briefly cover technical topics, new snippets, and more in short time blocks. Your host, Jennifer Reif, is an avid developer and problem-solver with special interest in data, learning, and all things technology.

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92 avsnitt

  1. Ep92: AI Pairing Pitfalls + RAG Benchmarking 15:31
  2. Ep91: Michael Notte on Designing benefits like systems + The human edge over AI 18:20
  3. Ep90: System One Model with Jev + Neo4j Startup Program on Aura 11:16
  4. Ep89: Sensor Data Analysis + AI Diagnostic Limits 14:32
  5. Ep88: Generative AI & Graph + Iterative AI Development 13:24
  6. Ep87: Slow Down to Move Fast + Shift from Coding to Verification 15:17
  7. Ep86: AI Workflow Realities + Architecture Trade-offs 14:31
  8. Ep85: John Willis on DevOps Lessons for AI + Open Weight vs Public Models 20:08
  9. Ep84: Relearning Streams and Lambdas + Offloading vs Surrender to AI 12:21
  10. Ep83: Book Writing Progress + GraphRAG & DevRel in the AI Era 9:18
  11. Ep82: AI and Code Generation + Code Reviews in a Changing Landscape 15:12
  12. Ep81: Curating NODES 2026 + The Software Industrial Revolution 9:57
  13. Ep80: Rethinking AI Intelligence + Developer Careers After Code Generation 13:35
  14. Ep79: Roie Schwaber-Cohen on Reducing Agent Token Costs + RAG Beyond Semantic Search 19:22
  15. Ep78: AI-First Java Book + Embabel for Enterprise Agents 14:16
  16. Ep77: Spring AI Memory Bug + LLMs, Skills, & Your Dev Career 11:18
  17. Ep76: Batching in Native Cypher + Avoiding Injection Vulnerabilities 15:30
  18. Ep75: Versioning AI Models + Define Schema for Better Knowledge Graphs 12:34
  19. Ep74: Building without a Blueprint + Scaling Graphs with Infinigraph 16:32
  20. Ep73: Cypher Query Tuning + Does Language Still Matter in the Age of AI? 11:37
  21. Ep72: Live Coding Fails and Fixes + Why LLMs Lose the Plot 11:01
  22. Ep71: GraphRAG Learnings + Langchain4j Apps for Production 14:36
  23. Ep70: Devnexus Conference Recap + No-LLM Agentic Workflow 21:00
  24. Ep69: Growth through Challenge + Rise of Agentic AI 11:08
  25. Ep68: Career Highlights + OGM Alternatives 15:34
  26. Ep67: Conference Recap + Cypher Query Patterns 11:28
  27. Ep66: Neo4j Data Loading at Scale + Vector Search Filtering 14:38
  28. Ep65: RAG Filtering + Context Graphs with Neo4j 11:23
  29. Ep64: Neo4j Vector Migration + Learning in the AI Era 10:12
  30. Ep63: MCP Integration Success + Advancing Semantic Search 10:41
  31. Ep62: Quarkus Langchain4j Updates + Production-Ready Agents on JVM 9:03
  32. Ep61: William Lyon on Knowledge Graphs + Agentic Memory 15:05
  33. Ep60: Langchain4j & Neo4j Integration Breakthroughs + The Decade of Agents in AI 13:02
  34. Ep59: NODES 2025 Highlights + Solving Graph Problems with Cypher 25 11:02
  35. Ep58: Hybrid Search Headaches + GraphRAG as MCP Server 10:30
  36. Ep57: Developer Advocacy Realities + Conditional Logic in Cypher 12:22
  37. Ep56: Java and Langchain4j Releases + GraphRAG with Langchain4j 10:53
  38. Ep55: Demystifying MCP + Future of Vibe Coding and RAG 13:14
  39. Ep54: Spring AI Integrations + Real-World RAG Challenges 13:10
  40. Ep53: Language Models for Data Tasks + MCP Journey Begins 12:43
  41. Ep52: Enhancing AI with Spring Advisors + GraphRAG Python Adventures 13:26
  42. Ep51: Exploring AI Agents + Agentic GraphRAG in Java 8:39
  43. Ep50: GraphRAG with Advisors + Spring AI Concepts 9:50
  44. Ep49: Moving toward AI Tools/Agents + Local RAG app with Quarkus 9:41
  45. Ep48: Java GraphRAG and Langchain4j 1.0 + Thoughts on conversational interfaces 12:08
  46. Ep47: Langchain4j GraphRAG Friction + MCP Authorization Headaches 7:38
  47. Ep46: Quarkus Neo4j Application + Development Lessons Learned 9:21
  48. Ep45: Exploring Java Frameworks + Launch of Spring AI 1.0 10:03
  49. Ep44: Updates in Java tools + MCP and Security 10:58
  50. Ep43: MCP Java SDK + Naive RAG vs GraphRAG 11:18