Foojay.io, the Friends Of OpenJDK!

The podcast of foojay.io, a central resource for the Java community’s daily ​information needs, a place for friends of OpenJDK, ​and a community platform for the Java ecosystem​ — bringing together and helping Java professionals everywhere.

Foojay.io, the Friends Of OpenJDK! is a technology podcast hosted by Foojay.io, with 91 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Foojay.io hosts Foojay.io, the Friends Of OpenJDK!, a technology show with 91 episodes published.

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  Episode #100

  When a Podcaster Interviews Podcasters, and What They All Have in Common (#100)

  Jul 10, 202650 minS5

  Episode 100 of the Foojay Podcast. No grand plan. It just happened. To mark the milestone, Frank turned the microphone around and invited other podcasters: Adam Bien (airhacks.fm), Jennifer Reif (Breaktime Tech Talks), Kadi McKean and Steve Pool (10xInsights), and Oumaima Zerouali (JCast). Same questions for each: why did you start, what broke, and what did you learn? Along the way: why a no-prep podcast works when you have 20 years of experience, the difference between writing a blog and recording a podcast, burnout from editing, AI tools that changed someone's voice into Batman, and why a Dutch Java podcast about the human side of development got its first episode from a calendar invite that became a recording. Guests: Adam Bien — airhacks.fm Jennifer Reif — Breaktime Tech Talks Kadi McKean and Steve Pool — 10xInsights Oumaima Zerouali — JCast Links: airhacks.fm on Spotify Breaktime Tech Talks on Spotify 10xInsights | 10xInsights on Spotify JCast Foojay Podcast #67: Writing a book. Does it make you rich and famous? Foojay Podcast #71: 30 Years of Java with James Gosling Foojay Podcast #99: Testing the Untestable: LLM Security for Java Developers with Tiberius Frank on JCast Other podcasts mentioned: Spring Documentary Content: 00:00 Introduction 01:00 Adam Bien (airhacks.fm) 12:52 Jennifer Reif (Breaktime Tech Talks) 26:25 Kadi McKean and Steve Pool (10xInsights) 38:43 Quote by James Gosling 39:46 Oumaima Zerouali (JCast) 48:01 Conclusion Hosted by Frank Delporte | foojay.io

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  Episode #99

  Testing the Untestable: LLM Security for Java Developers with Tiberius (#99)

  Jun 19, 202642 minS5

  Your Java AI application is live in production. But have you tested whether it can be jailbroken, manipulated into revealing its system prompt, or tricked into printing content it should never output? In this episode, Iryna Dohndorf , Software Engineer at Karakun Group and creator of Tiberius, explains how to bring security testing to LLM-powered Java applications. We cover why traditional unit tests break down with non-deterministic systems, how the Scan-Fixture-Validate workflow works, what buff mutation testing is, and why even well-trained models can be cracked with something as simple as the grandmother attack. Topics include: Why LLM non-determinism breaks the classic input/output test model The Scan-Fixture-Validate principle and sharing test artifacts across teams Prompt injection, jailbreaks, and emotional manipulation attacks Buff mutation: testing linguistic surface coverage Probabilistic security contracts and multi-trial scans Fingerprinting and why your model choice should not be detectable LLM as a judge: using a second model as a guardrail Getting started with Tiberius in Spring Boot and LangChain4j Guest Iryna Dohndorf - Software Engineer at Karakun Group LinkedIn Links Article on Foojay Tiberius on GitHub Security Testing Guide Timestamps 00:00 Introduction of topic and guest 01:05 The problem Tiberius wants to solve 06:39 How "traditional" unit tests don't work for LLM integrations 10:23 Scan-Fixture-Validate principle and sharing artifacts 15:15 Using different skills, for example, the grandmother skill 17:33 Testing for required versus forbidden bias 19:35 The probes across nine attack categories used by Tiberius 20:44 Buff mutation testing 26:55 Using Tiberius in your pipelines and when to fail 29:35 Using multi-trial scans 31:14 Fingerprinting: which model you use, should not be detectable 32:55 Combining multiple models, model as a judge 34:41 Sharing JSON models to improve tests 36:05 How to get started with Tiberius in Spring and with LangChain4j 36:41 Quarkus not supported yet, plans for the future 39:07 Conclusions and a call out to everyone to become a Foojay author

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  Episode #98

  The End of JNI Pain: How WebAssembly Is Quietly Replacing Native Libraries in Java (#98)

  Jun 12, 202644 minS5

  WebAssembly is already running inside Java applications, but most developers just don't know it yet. In this episode, Andrea Peruffo walks us through how WebAssembly is becoming the modern, safe alternative to JNI. Run Rust, C, and other native libraries directly on the JVM, without the crash risks, per-platform packaging headaches, or the observability blackhole that JNI creates. From JRuby's Prism parser to SQLite and full Postgres running as pure Java bytecode, the use cases are real. And the project making it possible, Endive, under the Bytecode Alliance, is open and ready to explore. Guest Andrea Peruffo GitHub: https://github.com/andreaTP/ LinkedIn: https://www.linkedin.com/in/andrea-peruffo-32269178/ Bluesky: https://bsky.app/profile/andreatp.bsky.social Links A New Generation of Java Libraries: Wasm Becomes the Implementation Detail Chicory on GitHub Endive on GitHub Endive documentation Bytecode Alliance OpenJDK Project Detroit Timestamps 00:00 Introduction of topic and guests 00:56 What is WebAssembly? 03:35 Comparing the performance with JavaScript 05:45 JRuby already uses WebAssembly 09:04 JNI versus FFM API versus WebAssembly 13:58 Other Java-related tools that use WebAssembly 17:56 History of the Chicory and Endive projects to bring WebAssembly to Java 21:03 Projects of the Bytecode Alliance 22:02 The Endive project as the glue to bring WebAssembly tools to Java 23:30 Integration of the Redline compiler 28:59 Why this is the perfect solution to modernize existing Java applications 31:18 Is this approach performant? 32:24 What future changes in Java and the JVM will make this even better 35:04 How Endive can be used in AI development 37:28 What to expect in Endive 41:29 Conclusions

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  Episode #97

  From Scripting Language to AI Powerhouse: How BoxLang Is Redefining JVM Development (#97)

  May 29, 202649 minS5

  BoxLang is a modern dynamic JVM language built for rapid application development. It's 100% Java-interoperable, compiles to JVM bytecode, and deployable anywhere from OS to AWS Lambda to Spring Boot. In this episode, we sit down with Luis Majano (CEO of Ortus Solutions and creator of BoxLang) and Cristobal Escobar (BoxLang community manager) to dig into the wave of innovation that has hit the platform over the past few months. We cover the BoxLang AI v3 release, a major overhaul that ships multi-agent orchestration with parent-child hierarchies, an AI Skills system based on Anthropic's open standard, MCP server integration (both consuming and serving), a composable middleware layer with six built-in classes including a FlightRecorder for deterministic CI testing, and a unified API spanning 17 AI providers. Luis and Cristobal walk us through the highlights of a 7-part BoxLang AI deep dive series, covering tools, memory systems & RAG, streaming, middleware, and MCP. We also touch on the BoxLang Spring Boot Starter, BoxLings (an interactive TDD/BDD learning platform), and TestBox 7's real-time streaming test runner. Whether you're a Java developer curious about dynamic JVM languages, an AI engineer looking for a productive alternative to Python-based agent frameworks, or just want to see what the JVM ecosystem can do in 2026, this episode is for you. Guests Luis Majano Foojay author page LinkedIn Cristobal Escobar Foojay author page LinkedIn Links On the BoxLang website : BoxLang docs BoxLang AI docs BoxLang Academy BoxLang for desktop applications BoxLang Spring Boot Starter BoxLings Announcing MatchBox Open Beta: BoxLang, Now Running in New Places Try BoxLang On Foojay: Overview of all recent BoxLang AI articles: Complete Guide to Building AI Agents BoxLang AI v3 Has Landed BoxLang AI Deep Dive series, Parts 1–7 How to Develop AI Agents Using BoxLang AI: A Practical Guide Introducing the BoxLang Spring Boot Starter Introducing BoxLings! Introducing skills.boxlang.io — The Open Agent Skills Ecosystem for BoxLang & the Ortus World Content 00:00 Introduction of topic and guests 01:17 What is BoxLang and how to use it 05:25 Multi-runtime (WASM) with MatchBox, based on Rust 07:00 Combining BoxLang with Spring Boot 10:40 The abstraction approach in BoxLang AI, compared with LangChain4j and others 14:18 Markdown skill files similar to Claude are also used in BoxLang AI 15:21 About the 7-part Foojay BoxLang Deep Dive posts series, agents, event-driven,... 19:28 BoxLang can be used for MCP server and client 23:01 Premium features in BoxLang and building a company on an open-source project 27:52 BoxLings, an interactive learning tool for BoxLang that teaches TDD and BDD 30:25 TestBox 7, real-time streaming test execution and a browser-based IDE 32:58 How to get started with BoxLang? 34:14 How the evolutions in the JVM and Java language influence BoxLang development 39:33 Which article to read first on Foojay about BoxLang? 43:27 More learning resources and ideas for the future and desktop development 48:05 Conclusions

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  Episode #96

  Run 35 AWS Services Locally FREE: Floci, Quarkus and GraalVM-Powered, LocalStack Alternative (#96)

  May 22, 202636 minS5

  What if you could run 35 AWS services locally in under 25 milliseconds, using just 13 megabytes of memory, with a single Docker command and no cloud bill? That's exactly what Floci does. In this episode, Frank Delporte talks with Hector Ventura, the creator of Floci, a free and open-source cloud emulator built with Quarkus and GraalVM native compilation. Hector walks us through why he built it when LocalStack dropped its open-source community edition, how AI tooling helped him accelerate development of new service integrations, the challenges of keeping GraalVM happy with third-party libraries, and the road ahead for Azure and GCP support. If you're a developer who wants fast local testing, a DevOps engineer writing Terraform, or a student learning cloud without the cost, Floci is worth a look! Guest: Hector Ventura Foojay Author page LinkedIn Links On Foojay: Introducing Floci: A High-Performance, GraalVM-Powered AWS Emulator Floci project site Floci on GitHub Migrate from LocalStack Content 00:00 Introduction of topic and guest 01:48 What is Floci? 02:15 How Floci compares to LocalStack 03:01 Why Hector started Floci 04:02 Floci emulates the cloud APIs 05:02 How additional services got integrated with AI assistance 06:31 Meaning of the name Floci 07:07 Why Quarkus and GraalVM as the starting point for Floci 09:35 How Floci starts up very fast and only uses a low amount of memory 12:18 GraalVM can be hard with some libraries or frameworks 14:02 What is needed to use Floci 14:56 The challenges to support AWS, Azure, GCP and finding contributors 20:24 Funding Floci 21:04 How data is persisted in Floci 22:37 Verifying Floci versus the "real" APIs with compatibility tests 23:56 In the future: UI for Floci 25:04 Biggest challenges while creating Floci 25:32 Functionality compared between Floci and LocalStack and migrating 28:15 Feedback from the Floci users 28:58 Long-term plans for Floci 29:59 Biggest surprises during the development of Floci 31:00 Best use-cases for Floci 32:12 In the next releases... 33:31 How to get started with Floci 35:00 Conclusion

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