Breaktime Tech Talks

Ep25: Github Actions + AI Coding Assistant

In this episode, hear some positive tech experiences from the week: the upgrade from GitHub Actions (upload/download artifact) to v4 through a 3rd party repo, and the new AI coding assistant feature in IntelliJ IDEA.

Ep24: Graph Data Science + Building Knowledge Graphs

This episode, my refresher with the Graph Data Science library with highlights and challenges. Then an overview of the Building Knowledge Graphs book, a guide on everything from concepts to technical details.

Ep23: Spring Data Neo4j course + Event recap

Hear learnings from the new Spring Data Neo4j course - building blocks, updates/deletes, and modeling. Then recap XtremeJ and NODES 2024, + upcoming at CJUG.

Ep22: LLM Graph Builder + Devrel unlocks “aha” moment

In this episode, get my latest experiences with the Neo4j LLM Graph Builder, both the benefits and challenges. Then, an article focusing on the concept of the "Aha moment"—a key moment when developers discover the value of a technology.

Ep21: Data is cool + NODES 2024 preview

In this episode, hear why data (a less glamorous topic) is actually fascinating and crucial. Then, look forward with a preview of next week's NODES 2024 event, which features a range of sessions on graph technologies, AI, data science, and security. Finally, get a teaser for the next episode.

Ep20: What is a graph + Goodhart’s Law

Cover the basics of graphs, explaining mathematical roots and applications. Introduce Goodhart's Law and highlight the risks of over-focusing on metrics, whether in tech or personal growth.

Ep19: RAG vs Agents + Naming Things

Explore agents in AI, distinguishing them from RAG (article1, article2). And discuss naming and the importance of conveying relevance and clarity.

Ep18: What is Vector search + JConf/Dev2next experiences

Want to take our previous vector topic a step further with vector similarity search. Then, I’ll give my thoughts on 2 recent tech conferences - JConf and dev2next.

Ep17: Using Asciidoc for Tech Content + Current Productivity Reads

The Asciidoc markup language is powerful and useful for developers and technical writing. Also highlighting productivity books - Atomic Habits and Deep Work - and applications for a developer.

Ep16: Mapping Relationships in Applications + Software Estimates

Documenting how to map relationship entities from a database to an application. Then, delving into one author’s viewpoint on software project estimates and some ideas to adapt this inaccurate process for better results.