Table of Contents Why Anahata?Key Features for the Modern Java Developer1. Deep Contextual Awareness2. Local Tool Execution (“Actionable Intelligence”)3. Safety & Transparency: The Butler Principle4. Visual Intelligence & Creative FlowBuilt on a Solid FoundationGet Started Today Announcing Anahata: A Pure-Java, …
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BoxLang CouchBase Module: Enterprise Caching, Distributed Locking, and AI Vector Memory
Table of Contents Couchbase + BoxLang: A High-Performance Combination🚀 Enterprise-Grade Distributed Caching🔐 True Distributed Locking for Mission-Critical WorkloadsComponent-Based Locking (Recommended)Callback-Based Locking🤖 AI Vector Memory for BoxLang AgentsExample: Persistent Vector-Powered MemoryMulti-Tenant IsolationHybrid Memory Model🛠️ Direct Couchbase SDK Access📦 Session Storage Backed …
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Foojay Podcast #86: Agents, MCP, and Graph Databases: Java Developers Navigate the AI Revolution
Table of Contents YouTubePodcast AppsContent The AI revolution isn’t replacing Java developers. No, it’s forcing us to think harder. Welcome to another episode of the Foojay Podcast! Today, we’re talking about AI and Java, how it’s changing the way we …
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The End of One-Sized-Fits-All Prompts: Why LLM Models Are No Longer Interchangeable
Table of Contents Takeaway 1: LLM choice is now a statement about your productTakeaway 2: Frontier models have divergent ‘personalities’Takeaway 3: End of an era. Prompts are no longer monolithsThe rise of prompt subunitsUser feedback and evalsConclusion For developers and …
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JC-AI Newsletter #11
Fourteen days have passed, and it is time to present a fresh collection of readings that could influence developments in the field of artificial intelligence. This newsletter explores the evolution of agentic AI systems, provides valuable insights into the Chain-of-Thought …
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The 5 Knights of the MCP Apocalypse 😱
Table of Contents 1. The “My Prompt is Leaking Secrets” Problem 🔑2. The “Is My Server a Double Agent?” Problem 🕵️3. The “Black Box of Vulnerabilities” Problem 🐛4. The “Context Pollution and Poisoning” Problem 🧪5. The “Too Many Cooks” Problem …
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How CodeRabbit’s Agentic Code Validation helps with code reviews
Table of Contents From PRD to PR in days (not weeks)The AI-generated code crisis nobody’s talking aboutWhy did reasoning models change everything?What makes review more “agentic”?How CodeRabbit closes the AI code trust gap The 2025 Stack Overflow survey reveals a paradox: while …
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JC-AI Newsletter #10
Fourteen days have passed, and it is time to present a fresh collection of readings that could influence developments in the field of artificial intelligence. This newsletter focuses on examining how agentic AI systems improve accuracy, tutorials on agentic system …
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Navigating the Nuances of GraphRAG vs. RAG
Table of Contents RAG: The Baseline Approach Based on EmbeddingsGraphRAG: Connecting the Dots with Knowledge GraphsTowards Hybrid Approaches and Unified PlatformsBuilding Reliable AI Apps While large language models (LLMs) hold immense promise for building AI applications and agentic systems, ensuring …
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Beyond Keywords: Hybrid Search with Atlas And Vector Search (Part 3)
Table of Contents One search might not be enoughMerging the best of both worldsPrerequisitesThe vector searchThe full-text searchImplementing the full-text indexExecuting a basic text queryImproving the experience with fuzzy searchRefining results with score boostingCombining forces with hybrid searchThe $rankFusionHow to …
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JC-AI Newsletter #9
Fourteen days have passed, and it is time to present a fresh collection of readings that could influence developments in the field of artificial intelligence. This newsletter focuses on examining how AI enhances productivity through enterprise studies, tutorial, agentic system …
