Join Dan Vega and DaShaun Carter for the latest from the Spring ecosystem. We’re back from Dev2Next with a recap. Dan shows off two things he built last week. One is Kiln, a warm new theme for IntelliJ. The other is a set of demos for the JSON API coming to JDK 28. Then we dig into a busy week of model releases. Meta released the weights for Muse Spark Open, NVIDIA fit a 74B model into 24GB, and DeepSeek shipped a faster V4.1 Flash. Local inference is getting real, but RAM and VRAM prices keep climbing. We’ll talk about when running models on your own hardware makes sense, and how to point Spring AI at a model on your own machine. We’ll also answer your questions live.

Show Notes:

• dev2next Conference
• Spring AI: There and Back Again (demo code)
• ArchUnit
• JEP 540: Simple JSON API (Incubator)
• Native JSON demos for JDK 28
• Kiln: a warm theme for JetBrains IDEs
• Spring AI Evaluation Testing
• Spring AI Recipes by Craig Walls

The show:

• springofficehours.io - episodes, schedule, community
• Spring Developer on YouTube - join us live every Monday
• Dan Vega
• DaShaun Carter
• The Spring Blog - the news we cover each week

Join Dan Vega and DaShaun Carter for the latest updates from the Spring Ecosystem. In this episode, Dan and DaShaun are joined by the legendary Josh Long. In this episode, we will look into the future of software development. We will also address at least one hot take that recently made the rounds. You can participate in our live stream to ask questions or catch the replay on your preferred podcast platform.

Show Notes:

• Rails World 2026 Opening Keynote - DHH
• JEP 540: Simple JSON API (Incubator)
• jfmt: Netflix's formatter for Java
• Spring Modulith
• Qwen2.5-Coder 1.5B on Ollama
• Ollama Cloud
• Josh Long on YouTube (Coffee + Software)
• joshlong.com

The show:

• springofficehours.io - episodes, schedule, community
• Spring Developer on YouTube - join us live every Monday
• Dan Vega
• DaShaun Carter
• The Spring Blog - the news we cover each week

Jev is a new model from TypeSafe that answers typed questions about your content. You send it some text and the decisions you need. It returns a probability, a choice, or a score instead of a paragraph. That makes it a natural fit for the decisions your code already has to make. Is this ticket urgent? Which team should own it? Which model should answer this prompt?

In this episode, Dan and DaShaun talk about why this matters for Java and Spring developers. Most of us have been asking a chat model to make a decision and then parsing prose to get the answer out. Jev gives you a typed answer you can branch on, with a confidence you can check. Dan shares what he learned getting it running in Java and Spring Boot, and the two of them talk through where a decision model fits next to Spring AI and where it does not.

Then it is your turn. Bring your questions about Jev, Spring Boot 4, Spring AI, or anything else in the Spring ecosystem. We will answer them live.

Show Notes:

• Introducing System One Models & Jev - TypeSafe AI's launch post and the article Dan started with: a decision model, not an LLM
• Spring AI and TypeSafe Jev: Fast, Cheap, Structured Decisions - Christian Tzolov's post from the morning of the show, with the spring-ai-starter-typesafe dependency, JevJudge, guardrail advisors, and seven runnable examples
• spring-ai-typesafe on GitHub - the Spring AI Community project behind that starter: a Java SDK for the Jev API plus the Spring AI integrations
• Getting Started with Jev in Java and Spring Boot - Dan's write-up of the single-file Java example and the Spring MVC RestClient version
• jev-spring-boot-starter - the Spring Boot 4 starter Dan built over the weekend: RestClient, properties for the API key and model, records for the request and response
• How Spring Boot 4 Starters Actually Work (I Built One for Jev) - Dan's video on building that starter
• It's Not an LLM, So What Does It Do? 3 Real Apps I built with Jev - the examples Dan described on the show, including the model router and the real-time writing checks
• spring-ai-model-router - the Spring AI example where Jev classifies the prompt and picks which model should answer it
• Spring release calendar - DaShaun's favorite place to check what ships on September 24 and the milestones on the way to Spring Boot 4.2 in November
• I Publish My Podcast with Claude Code and Skills - Dan's video on replacing this show's editing and publishing workflow with skills
• Fundamentals of Software Engineering - Dan and Nate Schutta's book, with the career development chapter Dan pointed to
• S5E23 - Java 27 Release Party with Billy Korando - last week's episode

The show:

• springofficehours.io - episodes, schedule, community
• Spring Developer on YouTube - join us live every Monday
• Dan Vega
• DaShaun Carter
• The Spring Blog - the news we cover each week