Breaktime Tech Talks

This week, hear a chat with Michael Notte about systems thinking, AI, and the human edge in insurance. Lessons in other industries can translate to software development.

• Designing benefits and compensation packages using systems-thinking principles
• Treating upfront communication like requirements gathering
• AI chatbots for FAQs and enrollment: what works and where they hit a wall
• The human edge: reading between the lines when a...

In this episode, Jennifer recaps her Northeast US Java User Group tour and dives into the week's biggest tech release of Jev (a new System 1 model) along with Neo4j NODES 2026, upcoming projects, and two must-read blog posts.

• Java User Group tour: shout-out to Northeast US JUG tour groups! TriJUG (Raleigh), Charlotte JUG, and a combined Richmond JUG / GraphRVA provided experiences that smashed it out of the park.
• NODES 2026 ag...

Jennifer Reif talks with Dr. Robert Kerstein, a prosthodontist with 42 years of experience researching the T-Scan bite computer.

• T-Scan uses pressure-mapping sensors to measure bite force, timing, and friction. It's the same Tekscan sensor tech used in aerospace, automotive, and robotics.
• Software records bite dynamics like a movie, enabling data-driven analysis instead of subjective guesswork with traditional paper and ink.
• R...

Jennifer shares updates on her upcoming AI First Java book, fall event prep, and spring 2027 conference abstracts. Key topics this episode:

• GraphAcademy makeover. Neo4j's learning platform now features browser-based code environments, auto-generated API keys, AI-assisted data modeling, and public datasets for self-paced learning.
• GraphRAG workshop. Jennifer recently delivered a virtual workshop on generative AI and G...

This week, I took a detour with a different kind of productivity and share highlights from two must-read articles on AI-era software development.

• My "brain sabbatical": a strategy day for deep focus, ideation, and conference abstract brainstorming.
• Upcoming events:
  • Intro to AI Workshop (Sep 3)
  • GraphSummit NYC (Sep 17)
  • Northeast US meetup tour (Sep 21–23, Raleigh, Charlotte, Richmond)
• "Domain Knowledge Is the ...

I'm back after some time off and excited to catch you up on everything that's been happening. This week, hear updates on the Java book, some upcoming fall events, and dive into two articles that challenge how we think about AI in development and architecture.

• The Java book is in its final chapters. It now incorporates Claude, planning mode, and a capstone project so developers walk away with something personal and useful
• Feeli...

In this episode, I sit down with John Willis, author of The DevOps Handbook and Rebels of Reason. We discuss how lessons from John's five decades of technology shifts apply to organizations the AI era.

• The "fluorescence" of AI: why the hype is blinding and what we keep forgetting
• Patterns from Linux, cloud, and DevOps that repeat with every tech shift
• Ideation hackathons: a structured approach to organizational AI ...

This week, hear the latest updates on writing the Java book and prepping meetup tours, as well as a thought-provoking article on developer cognition in the age of AI.

• Deep dive into lambdas: concise, one-line rules for sorting, filtering, and transforming data
• Streams explained: pipelines that apply lambda rules across collections of items
• Lambdas + streams as examples of declarative programming vs. imperative for-loops
• Writin...

In this episode, hear my latest writing progress on the Java book, a couple of new DZone blog posts, and upcoming meetups and podcast guests. I also dig into an article on how AI is reshaping developer relations.

• Made strong progress on the Java book, wrapping up one chapter and starting the next
• Published a new blog post on DZone about the agents architecture (first of several planned installments)
• Colleague Akmal Chaudhri pu...

Recap of my week, with several different topics where I expanded my knowledge or surfaced some recurring patterns in my efforts.

• Repeated prompt iteration can cause LLMs to get stuck in unhelpful loops or produce slightly different code on reruns. Restoring to a checkpoint helps reset context and regenerate cleaner output.
• A personal AI workflow shortcut: using chat models to brain dump and organize ideas into stru...

This week included reviewing abstracts for NODES developer conference returning this fall, making progress on the book, and other exciting things happening within the team. Highlights:

• Schedule for Neo4j’s free virtual NODES is in the process as we review and select sessions. Register now!
• Progress on the Java book with an aggressive schedule that is challenging, but manageable.
• Several colleagues are at the AI Engineer...

Wrapping up a busy week of GraphRAG training and book writing with two topics worth unpacking: what we actually mean when we call AI "intelligent," and what a recent article reveals about the shifting landscape for software developers.

• AI models are pattern-matching algorithms. They appear intelligent only when humans surface the right context, not on their own
• "Intelligent" is a term developers should use loosely and critical...

In this episode, I sit down with Roie Schwaber-Cohen, a software engineer and developer advocate at Pinecone, to talk about smarter ways to build with AI — without burning through tokens or your patience!

What we cover:

• Why agentic AI systems burn so many tokens (and ways to combat it)
• How Pinecone's Nexus pre-explores retrieval paths so agents don't have to discover them at runtime, cutting latency and token usage
• The p...

I'm back after a couple of weeks of hiatus with a packed update. From a major book deadline to enterprise graph hackathons, summer is anything but slow.

• AI-First Java Book. First six chapters officially submitted. They cover concept progression, real-world problem solving, and a developer's career journey
• Customer Graph Hackathons. First hands-on event with Neo4j at an enterprise customer site, and another one coming next week
...

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 (Java Metroplex User Group) meetup in Dallas — highly recommended for Dallas-area developers!
• 🐛 Discovered a bug in Spring AI's Neo4j chat memory integration with the latest Spring Boot — workaround is to use in-memory storage for now.
• 📖 Working on a Java boo...

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 (likely June, APAC-friendly time zones)
• Cleared a backlog of community submissions for the Ne...

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.

• Prepped for two upcoming events: a Graph RAG Fundamentals training on O'Reilly Learning Platform and a session at a virtual AI Agents conference.
• Updating repositories for the workshop surfaced a chain-reaction lesson: upgrading fram...

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.

• 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 — explorin...

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: spent time refreshing slide decks, resource links, emails, and tutori...