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Breaktime Tech Talks

Podcast door jmhreif

Engels

Technologie en Wetenschap

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Over Breaktime Tech Talks

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.

Alle afleveringen

77 afleveringen

aflevering Ep77: Spring AI Memory Bug + LLMs, Skills, & Your Dev Career artwork

Ep77: Spring AI Memory Bug + LLMs, Skills, & Your Dev Career

A packed week of travel, debugging, writing, and reading. I share what I learned and ran into this week as a developer. Highlights: * 🗣️ Spoke at the JavaMUG [https://www.meetup.com/javamug/] (Java Metroplex User Group) meetup in Dallas — highly recommended for Dallas-area developers! * 🐛 Discovered a bug in Spring AI's Neo4j chat memory integration [https://github.com/spring-projects/spring-ai/issues/6007] with the latest Spring Boot — workaround is to use in-memory storage for now. * 📖 Working on a Java book chapter covering OOP concepts (abstraction, encapsulation, polymorphism) with a focus on practical, use-case-driven learning * Event updates: * 📅 Session from the AI Agents conference is now on YouTube [https://youtu.be/n8nDHPuoD8o?si=IbR6MxyuSSTXhMPl] * GraphRAG Fundamentals O'Reilly course [https://www.oreilly.com/live-events/graphrag-fundamentals/0642572221072/] rescheduled to June in APAC timezone * NODES CFP [https://neo4j.com/nodes/] open until June 15th * 📝 Two recommended reads: * "MCP, Skills, and Agents" [https://cra.mr/mcp-skills-and-agents] by David Cramer * "LLMs and Your Career" [https://notes.eatonphil.com/2026-01-19-llms-and-your-career.html] by Phil Eaton

15 mei 2026 - 11 min
aflevering Ep76: Batching in Native Cypher + Avoiding Injection Vulnerabilities artwork

Ep76: Batching in Native Cypher + Avoiding Injection Vulnerabilities

A quieter week, but still full of forward motion — from clearing the Neo4j developer blog backlog and making progress on the upcoming Java book, to lining up upcoming speaking events. Plus, two developer-focused content pieces I hope you enjoy as much as I did. This Week's Updates: * Rescheduling the GraphRAG Fundamentals training [https://www.oreilly.com/live-events/graphrag-fundamentals/0642572221072/] (likely June, APAC-friendly time zones) * Cleared a backlog of community submissions for the Neo4j Developer Blog [https://neo4j.com/blog/developer/] — open to anyone with a Medium account * Cypher/SQL injection understanding from Neo4j Definitive Guide book [https://neo4j.com/books/neo4j-the-definitive-guide/] * Writing progress on a new AI-first Java learning book, drawing on literary aspirations and music pedagogy principles for a fresh teaching approach * New speaking opportunities coming in May and June — stay tuned Content Pieces: * "Batching Like a Pro" by Gemma Lamont [https://neo4j.com/blog/developer/batching-like-a-pro/] — A detailed feature comparison of apoc.periodic.iterate vs. native Cypher CALL IN TRANSACTIONS, covering memory tracking, error handling, query planning, concurrency, entity rebinding, and retry strategies. The gap has largely closed — native Cypher is nearly on par. * NODES AI videos [https://www.youtube.com/playlist?list=PL9Hl4pk2FsvXLyavSKtnRP0ySqcrtm9qY] now on YouTube — All session recordings from Nodes AI are publicly available. Link in the show notes.

1 mei 2026 - 15 min
aflevering Ep75: Versioning AI Models + Define Schema for Better Knowledge Graphs artwork

Ep75: Versioning AI Models + Define Schema for Better Knowledge Graphs

This week, I prepped for upcoming events, tweaked and strategized some existing processes, and found more data on how defining a schema can produce better knowledge graph construction. Highlights: * Prepped for two upcoming events: a Graph RAG Fundamentals training [https://www.oreilly.com/live-events/graphrag-fundamentals/0642572221072/] on O'Reilly Learning Platform and a session at a virtual AI Agents conference [https://aiagentsconference.live/]. * Updating repositories for the workshop surfaced a chain-reaction lesson: upgrading frameworks leads to data changes, which require config updates, which require prompt rewrites. * Key takeaway — don't pin your apps to latest for AI models, just as you wouldn't for Docker image tags. Tie to a specific version so updates don't cascade unexpectedly. * Also revisited my tech blogging workflow and built a template script to eliminate boilerplate setup, shaving time off the writing process without sacrificing the actual content creation. * New blog post on agents, tools, and MCP [https://jmhreif.com/blog/2026/agents-mcp-thinking/] published in the process! * On the Neo4j side, I touched on the Neo4j Educator Program and how learning patterns among new developers are shifting — happy to accept feedback from educators teaching graphs. * This week's article is Hands-on KG Relation Resolution [https://www.linkedin.com/pulse/hands-on-kg-relation-resolution-mike-dillinger-phd-bkldc/] by Mike Dillinger. It examines knowledge graph construction and why defining a narrowed schema produces cleaner, more understandable graphs. Without boundaries, LLMs and NLP processes generate overly granular, spaghetti-like structures.

24 apr 2026 - 12 min
aflevering Ep74: Building without a Blueprint + Scaling Graphs with Infinigraph artwork

Ep74: Building without a Blueprint + Scaling Graphs with Infinigraph

In this episode, I reflect on career growth in tech after speaking with a group of students, along with a few technical topics I explored this week — from Cypher optimization to scaling graph databases. 💡 Highlights * Career growth isn’t linear — most skills come from experimenting, saying yes to opportunities, and building over time rather than formal training * Project ideas come from doing — exploring tools, creating content, and solving real problems often reveal what to learn next * Cypher optimization (GraphAcademy) [https://graphacademy.neo4j.com/courses/workshop-optimization/] — hands-on practice with EXPLAIN, PROFILE, and query tuning reinforces key performance concepts * Neo4j Infinigraph [https://neo4j.com/blog/graph-database/infinigraph-is-generally-available/] — a new approach to scaling graphs by separating graph structure from large property data, improving performance and scalability (plus, NODES AI website [https://neo4j.com/nodes-ai/] and NODES AI YouTube playlist [https://www.youtube.com/playlist?list=PL9Hl4pk2FsvXLyavSKtnRP0ySqcrtm9qY]) A reminder that progress comes from building, exploring, and iterating — not waiting for the perfect plan.

17 apr 2026 - 16 min
aflevering Ep73: Cypher Query Tuning + Does Language Still Matter in the Age of AI? artwork

Ep73: Cypher Query Tuning + Does Language Still Matter in the Age of AI?

Back from a short holiday, I caught up on a few things this week — including the inevitable yak shaving. Highlights: 📖 Book Progress: wrapped up another chapter draft. I've been finding that blocking larger chunks of dedicated time makes a real difference for focus and momentum, although getting started is still the hardest part. 🎓 Neo4j Educator Program [https://neo4j.com/graphacademy/edu-program/]: spent time refreshing slide decks, resource links, emails, and tutorials for the program. Still more to do, but happy with the progress. (Also worth knowing: the Neo4j Startup Program [https://neo4j.com/startup-program/] now offers Aura cloud database credits depending on your stage.) 🐃 Yak Shave [https://softwareengineering.stackexchange.com/questions/388092/what-exactly-is-yak-shaving] of the Week: had to clear disk space on my laptop just to run required software updates — for the second time recently. Frustrating but necessary. Content: 📚 Learning: Neo4j: The Definitive Guide [https://www.oreilly.com/library/view/neo4j-the-definitive/9781098165642/] – Ch. 5 (Query Analysis & Tuning) A fantastic chapter covering how the Cypher Query Planner works (Pipeline, Slotted, and Parallel), plus deep dives into EXPLAIN and PROFILE for query optimization. Exactly the kind of under-the-hood content I've been looking for. 💬 Reading: "Does Language Still Matter in the Age of AI? [https://foojay.io/today/does-language-still-matter-in-the-age-of-ai-yes-but-the-tradeoff-has-changed/]" — David Parry A great read on why structured, verbose languages actually perform better in AI code generation — and are easier to review. Language expertise is still very much worth developing.

10 apr 2026 - 11 min
Super app. Onthoud waar je bent gebleven en wat je interesses zijn. Heel veel keuze!
Super app. Onthoud waar je bent gebleven en wat je interesses zijn. Heel veel keuze!
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