• airhacks.fm podcast with adam bien

  • By: Adam Bien
  • Podcast
airhacks.fm podcast with adam bien cover art

airhacks.fm podcast with adam bien

By: Adam Bien
Listen for free

  • Summary

  • Java, Serverless, Clouds, Architecture and Web conversations with Adam Bien
    Adam Bien, copyright 2022
    Show More Show Less
Episodes
  • The bld Power User

    The bld Power User
    Jun 9 2024
    An airhacks.fm conversation with Erik C. Thauvin (@ethauvin) about: previously Erik on "#287 How Linkblog Happened", from Rife to bld, Gert on "#284 No Dependencies--Or How Rife 2 and Bld Happened", the simplicity and power of bld compared to Gradle and Maven, using Java as the build language without any DSLs or plugins, the advantages of a direct approach to building and running tools, converting projects from Gradle to bld and the resulting simplification, creating extensions for bld to integrate with various tools and libraries, the benefits of using pure Java for build files and the flexibility it provides, the speed of bld and the underlying Java compilers, ideas for future improvements and features in bld, the philosophy behind bld and its focus on simplicity and developer productivity, the potential for using bld as a scripting tool and automation platform, the extension mechanism in bld and how it leverages the builder pattern, the performance gains of using bld over traditional build tools, the aesthetics and user experience of bld, the history of Java compilers and the evolution of Java desktop applications

    Erik C. Thauvin on twitter: @ethauvin
    Show More Show Less
    1 hr and 8 mins
  • Observability-Driven Development with Digma, Serverless and Java

    Observability-Driven Development with Digma, Serverless and Java
    Jun 2 2024
    An airhacks.fm conversation with Roni Dover (@doppleware) about: previously Roni on airhacks.fm "#252 BDD: Bug Driven Development vs. Continuous Observability", discussion about the Java community and its focus on innovation, Digma and Java, Digma's growth and user feedback, observability as a tool for early issue detection and better code design, the importance of continuous observability and reducing mental effort, Digma's elevator pitch and data science approach, the changing testing pyramid and the benefits of test containers, "#103 Unit Testing Considered Harmful", the cost and value of different types of tests, optimizing lambda costs and performance, linking System Tests to traces from quarkus JVMs, Digma's architecture and deployment options, recent features and improvements in Digma, the impact of observability on productivity and shorter feedback loops, AWS Lambda Power Tuning, the limitations and potential of large language models (LLMs) in generating tests and code, the importance of understanding the client and writing maintainable code, the challenges of complex code generated by LLMs, the potential of feeding runtime data to LLMs for code generation and optimization, the Java community's vibrant and innovative nature

    Roni Dover on twitter: @doppleware
    Show More Show Less
    1 hr and 3 mins
  • Exploring ONNX, Embedding Models, and Retrieval Augmented Generation (RAG) with Langchain4j

    Exploring ONNX, Embedding Models, and Retrieval Augmented Generation (RAG) with Langchain4j
    Jun 1 2024
    An airhacks.fm conversation with Dmytro Liubarskyi (@langchain4j) about: Dmytro previously on "#285 How LangChain4j Happened", discussion about ONNX format and runtime for running neural network models in Java, using langchain4j library for seamless integration and data handling, embedding models for converting text into vector representations, strategies for handling longer text inputs by splitting and averaging embeddings, overview of the retrieval augmented generation (RAG) pipeline and its components, using embeddings for query transformation, routing, and data source selection in RAG, integrating Langchain4j with quarkus and CDI for building AI-powered applications, Langchain4j provides pre-packaged ONNX models as Maven dependencies, embedding models are faster and smaller compared to full language models, possibilities of using embeddings for query expansion, summarization, and data source selection, cross-checking model outputs using embeddings or another language model, decomposing complex AI services into smaller, specialized sub-modules, injecting the right tools and data based on query classification

    Dmytro Liubarskyi on twitter: @langchain4j
    Show More Show Less
    1 hr and 9 mins
Show More Show Less

What listeners say about airhacks.fm podcast with adam bien

Average Customer Ratings

Reviews - Please select the tabs below to change the source of reviews.

Audible.com.au reviews

Amazon Reviews
No Reviews are Available
In the spirit of reconciliation, Audible acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.