The first and second newsletters introduced a 14-day cadence, and even though it is the holiday season for many of us, we are sticking to the promised period. The current newsletter vol.3, brings a collection of valuable articles focusing on …
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New Java Benchmark for Coding LLMs puts GPT-5 at the top
Table of Contents GPT-5 is on top at every performance level and every price point… but it’s no speed demonPerformance by task lengthOther observationsImplications for buildersA Note on Reasoning Introducing the Brokk Power Ranking The Brokk Power Ranking is a …
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JC-AI Newsletter #2
Table of Contents In the first newsletter, we introduced a 14-day cadence, which means that this week it’s time for a new collection of articles from the fields of AI, LLM, Java and more.article: OpenAI CEO Sam Altman warns of …
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Robust AI Applications with LangChain4j Guardrails and Spring Boot
Table of Contents Understanding LangChain4j GuardrailsSetting Up a Spring Boot Project with LangChain4jImplementing Input GuardrailsContent Safety Input GuardrailSmart Context-Aware GuardrailIntelligent Input SanitizerImplementing Output GuardrailsProfessional Tone Output GuardrailHallucination Detection GuardrailTesting Your GuardrailsCreating AI Services with GuardrailsRest endpointDemoConclusion As AI applications become …
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CodeRabbit Tutorial for Java Developers
Table of Contents Getting StartedPrerequisitesSetup ProcessCore Features for Java Development1. Code Quality Analysis2. Security Vulnerability Detection3. Performance Optimization Suggestions4. Design Pattern RecognitionWorking with CodeRabbit ReviewsUnderstanding Review CommentsResponding to ReviewsJava-Specific ConfigurationCustom Rules SetupMaven/Gradle IntegrationAdvanced Features1. Custom Prompts2. Architectural Reviews3. Testing SuggestionsBest …
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JC-AI Newsletter #1
Table of Contents article: GitHub CEO: manual coding remains key despite AI boomarticle: Expert Generalistsarticle: Emerging Patterns in Building GenAI Productsarticle: Complex, AI-generated software projects will never happenarticle: Silicon Valley Insider EXPOSES Cult-Like AI Companies | Aaron Bastani Meets Karen …
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How to Make a RAG Application With LangChain4j
Table of Contents Why use RAG?Use cases for RAGLangChain4J for RAGMongoDB for RAGPrerequisitesOur dependenciesSetting up MongoDB and our embedding storeMongoDB setupConfiguring the embedding storeCreating our embedding modelConfiguring our chat modelHow to load our dataParametersCreating our content retrieverAsking questionsConclusion Retrieval-augmented generation, …
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Understanding MCP Through Raw STDIO Communication
Table of Contents Deep Dive into the Model Context ProtocolUnderstanding MCP Through Raw STDIO CommunicationWhy STDIO? The Power of Universal CommunicationUnderstanding the JSON-RPC Message FlowClient → Server: Initialization RequestServer → Client: Initialization ResponseThe Message Type HierarchyBidirectional Communication: Beyond Request-ResponseThe Complete …
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The Great Data Reimagination: From Static to Agile in the AI Era
Table of Contents The Data Architecture Identity CrisisThe Adaptive Approach: Prioritizing Developer SpeedAI-Native Platforms Are the Future We’re in the middle of a fundamental change in how enterprise software works. In the next decade, your database will become your AI. …
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How I Improved Zero-Shot Classification in Deep Java Library (DJL) OSS
Table of Contents TL;DR:What’s Zero-Shot Classification (and Why It Matters)Integrating a Zero-Shot Classification Model with the Deep Java LibraryDependenciesThe Criteria ClassLoading and using the modelUsing different modelsUsing a model that is not available in the Model ZooLoading a local model …
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Intro to RAG: Foundations of Retrieval Augmented Generation, part 2
Table of Contents GenAI systems as layersVector RAGGraph RAGAI AgentsModel Context Protocol (MCP)What should you choose?Wrapping up!Resources In the last post, we discussed the basics of Retrieval Augmented Generation (RAG) and how it enhances the capabilities of Large Language Models …
