airhacks.fm podcast with adam bien

An airhacks.fm conversation with Ronald Dehuysser (@rdehuyss) about: JobRunner evolution from open source to processing 1 billion jobs daily, carbon-aware job processing using European energy grid data ( ENTSO-E ) for scheduling jobs during renewable energy peaks, correlation between CO2 emissions and energy prices for cost optimization, JobRunner Pro vs Open Source features including workflows and multi-tenancy support, bytecode analysis using ASM for lambda serialization, JSON serialization for job state persistence, support for relational databases and MongoDB with potential S3 and DynamoDB integration, distributed processing with master node coordination using heartbeat mechanism, scale-to-zero architecture possibilities using AWS EventBridge Scheduler, Java performance advantages showing 35x faster than python in benchmarks, cloud migration patterns from on-premise to serverless architectures, criticism of kubernetes complexity and lift-and-shift cloud migrations, cost-driven architecture approach using AWS Lambda and S3, quarkus as fastest Java runtime for cloud deployments, infrastructure as code using AWS CDK with Java, potential WebAssembly compilation for Edge Computing, automatic retry mechanisms with exponential backoff, dashboard and monitoring capabilities, medical industry use case with critical cancer result processing, professional liability insurance for software errors, comparison with executor service for non-critical tasks, scheduled and recurring job support, carbon footprint reduction through intelligent scheduling, spot instance integration for cost optimization, simplified developer experience with single JAR deployment, automatic table creation and data source detection in Quarkus, backwards compatibility requirements for distributed nodes, future serverless edition possibilities Ronald Dehuysser on twitter: @rdehuyss

An airhacks.fm conversation with Maurice Naftalin (@mauricenaftalin) about: retirement philosophy and work-life balance for developers, transitioning from paid work to passion projects, the challenge of relaxation and meditation versus constant activity, the importance of experiencing boredom in a fast-paced world, Java collections framework design and evolution over 30 years, the Collection interface as base for sets lists and queues but not Maps, mathematical foundations of sets using Zermelo-Fraenkel axioms, differences between mathematical sets and Java set implementations, NavigableSet and SortedSet using comparators versus hash-based equality, non-commutative equality between HashSet and NavigableSet implementations, CopyOnWriteArraySet for concurrent read-heavy operations with snapshot isolation, ConcurrentSkipListSet as thread-safe tree structure using skip lists algorithm, skip lists simulating tree behavior through parallel linked lists with sparse copies, Queue interface uncomfortable fit with Collection interface focusing on head/tail operations, BlockingQueue implementations for producer-consumer workflow scenarios, Deque (double-ended queue) enabling work-stealing patterns in Fork-Join framework, Map interface separate from Collection hierarchy representing key-value pairs, Map.of() factory methods using array-based optimization limited to 10 elements, WeakHashMap using weak references on keys for memory-sensitive caching, IdentityHashMap using reference equality (==) useful for serialization graphs, EnumMap and EnumSet using bitmap optimization for performance, String.intern() optimization hack for fast string comparison using reference equality, enum design limitations with final name() method preventing override customization, Epsilon garbage collector for short-lived servers avoiding GC overhead, the remarkable durability of Josh Bloch's original Collections Framework design under time pressure, balancing API simplicity with supporting unusual use cases, converting between different data structure representations and naming conventions, the Java Generics and Collections book Maurice Naftalin on twitter: @mauricenaftalin

An airhacks.fm conversation with Ingo Kegel (@IngoKegel) about: jclasslib bytecode viewer development history starting in 2001, transition from CVS to Subversion to Git, SourceForge to GitHub migration, Swing UI development with FlatLaf look and feel, comparison between Swing and SWT APIs, Eclipse plugin development experiences, Visual Studio Code integration with jprofiler, Homebrew package management for Mac applications, Java desktop module and modularization, jlink for creating trimmed JDK distributions, security benefits of shipping only required modules, Java compatibility improvements since Java 17, Base64 encoder becoming public API, internal API access restrictions with module system, comparison of Java installation simplicity versus Node.js and python, potential JSON support in future JDK versions, NetBeans integration attempt and recognition issues, bytecode instrumentation for profiling, asm and ByteBuddy as standard bytecode manipulation libraries, class file format evolution and complexity, module system introducing new structures, stack map tables and verification challenges, using JClassLib for method signature extraction, dokka documentation system for Kotlin, package.md and package-info documentation patterns, potential revival of Swing for modern desktop applications, simplified application architectures compared to enterprise apps with 30-40 tabs, LLM and AI making applications simpler with chat interfaces, JClassLib use cases including learning JVM internals and editing class files, approximately 3000 GitHub stars indicating 30000+ users, IntelliJ IDEA plugin availability, physicist background influencing interest in Java internals, Java Language Specification and Class File Format books, experimental physics approach to understanding JVM Ingo Kegel on twitter: @IngoKegel

An airhacks.fm conversation with Ingo Kegel (@IngoKegel) about: jprofiler Visual Studio Code integration using Kotlin Multiplatform, migrating Java code to Kotlin common code for cross-platform compatibility, transpiling to JavaScript for Node.js runtime, JClassLib bytecode viewer and manipulation library, Visual Studio Code's Language Server Protocol (LSP), profiling unit tests and performance regression testing, Java Flight Recorder (JFR) for production monitoring with custom business events, cost-driven development in cloud environments, serverless architecture with AWS Lambda and S3, performance optimization with parallelism in single-CPU environments, integrating profiling data with LLMs for automated optimization, MCP servers for AI agent integration, Gradle and Maven build system integration, cooperative window switching between JProfiler and VS Code, memory profiling and thread analysis, comparing streams vs for-loops performance, brokk AI's Swing-based LLM development tool, context-aware performance analysis, automated code optimization with AI agents, business event correlation with low-level JVM metrics, cost estimation based on cloud API calls, quarkus for fast startup times in serverless, performance assertions in System Tests, multi-monitor development workflow support Ingo Kegel on twitter: @IngoKegel

An airhacks.fm conversation with Stephan Janssen (@Stephan007) about: Devoxx Belgium conference selling out in seconds with 7000+ page views, ticket coordination strategies by companies, VAT validation issues with European services, conference featuring largest Java AI content globally, AI and LLM focus with dedicated GenAI track, MCP and AI agents presentations, Java on GPU with tornadovm and Babylon project, quarkus AI agents for langchain4j, vibes coding experiences with React and Angular, importance of specifications for AI code generation, using multiple LLMs for review (Claude, GPT, DeepSeek), file system RAG replacing vector databases, MCP as evolution of RAG, Java as optimal language for LLM code generation due to type safety and standards, bce pattern and MicroProfile for consistent code structure, package-info files improving LLM context understanding, junior developers benefiting from AI as universal tutor, CSS generation without manual coding, dark/light theme support using CSS variables, enterprise challenges with dependency management, DevoxxGenie plugin popularity in enterprises with restricted AI access, open source contribution challenges, local LLMs becoming powerful for enterprise inference, TornadoVM Metal support enabling local inference, comparison with GraalVM inference performance, AI disrupting video production and creative industries, importance of prompt engineering skills, renaissance of development through AI empowerment Stephan Janssen on twitter: @Stephan007

An airhacks.fm conversation with Antonio Goncalves (@agoncal) about: journey from Java Champion to Principal Software Engineer at Microsoft focusing on AI, the evolution from Java EE standards to modern AI development, writing technical books with LLM assistance, langchain4j as a Java SDK for LLMs providing abstraction over different AI providers, the importance of Java standards and patterns for LLM code generation, Boundary Control Entity (BCE / ECB) pattern recognition by LLMs, quarkus integration with LangChain4J enabling dependency injection and multi-tenancy, MCP (Model Context Protocol) as a new standard potentially replacing some RAG use cases, enterprise AI adoption using Azure AI Foundry and AWS Bedrock, model routers for optimal LLM selection based on prompt complexity, the future of small specialized models versus large general models, tornadovm enabling Java execution on GPUs with 6x performance improvements, GraalVM native compilation for LLM applications, the resurgence of Java EE patterns in the age of AI, using prompts as documentation in READMEs and JavaDocs, the advantage of type-safe languages like Java for LLM understanding, Microsoft's contribution to open source AI projects including LangChain4J, teaching new developers with AI assistance and the importance of curiosity, CERN's particle accelerator and its use of Java, the comparison between old "hallucinating architects" and modern LLM hallucinations, writing books about AI using AI tools for assistance, the structure of the Understanding LangChain4j book covering models RAG tools and MCP, enterprise requirements for data privacy and model training restrictions Antonio Goncalves on twitter: @agoncal

An airhacks.fm conversation with Michalis Papadimitriou (@mikepapadim) about: GPU acceleration for LLMs in Java using tornadovm, evolution from CPU-bound SIMD optimizations to GPU memory management, Alfonso's original Java port of llama.cpp using SIMD and Panama Vector API achieving 10 tokens per second, TornadoVM's initial hybrid approach combining CPU vector operations with GPU matrix multiplications, memory-bound nature of LLM inference versus compute-bound traditional workloads, introduction of persist and consume API to keep data on GPU between operations, reduction of host-GPU data transfers for improved performance, comparison with native CUDA implementations and optimization strategies, JIT compilation of kernels versus static optimization in frameworks like tensorrt, using LLMs like Claude to optimize GPU kernels, building MCP servers for automated kernel optimization, European Space Agency using TornadoVM in production for simulations, upcoming Metal backend support for Apple Silicon within 6-7 months, planned support for additional models including Mistral and gemma, potential for distributed inference across multiple GPUs, comparison with python and C++ implementations achieving near-native performance, modular architecture supporting OpenCL PTX and future hardware accelerators, challenges of new GPU hardware vendors like tenstorrent focusing on software ecosystem, planned quarkus and langchain4j integration demonstrations Michalis Papadimitriou on twitter: @mikepapadim

In this engaging conversation, Adam Dudczak, a seasoned software engineer and tech enthusiast, reminisces about his early coding adventures on the Commodore 64. He shares fascinating tales of the demo scene and how he transitioned through various programming languages. Dudczak reveals insights from his work at Allegro, discussing its e-commerce dominance and the tech innovations behind it. He also dives into cloud strategies, contrasting Spring with Quarkus, while offering tips on optimizing public cloud costs—making this chat packed with both nostalgia and modern tech wisdom!

Maurice Naftalin, an expert in Java generics and author of 'Java Generics and Collections', dives into the fascinating history of Java generics. He discusses the impactful Pizza paper by Phil Wadler, the complications of type erasure, and the evolution of Java collections. Maurice explains covariance and contravariance while highlighting the importance of wildcards. He also touches on the significance of unchecked warnings, the use of generics for better plugin systems, and gives insights into his upcoming book with future updates. A must-listen for Java enthusiasts!

Join Jonathan Ellis, a developer at Brokk and a coding innovator, as he dives into a multitude of fascinating topics. He explores Brokk’s intuitive design for AI-driven development and its advantages over traditional tools like Cursor. The conversation covers real-time feedback enhancements, in-memory parser optimizations, and innovative coding techniques like hierarchical embeddings. Jonathan also discusses the role of AI in efficient coding practices, subscription models, and the importance of structured codebases, making this chat a treasure trove for developers!