Table of Contents Problem #1: “I see the bug, but I’m too lazy (or busy) to fix it”Problem #2: “My AI Assistant writes buggy code because it doesn’t know our rules”Problem #3: “How do I know if this Project with …
-
JC-AI Newsletter #12
First of all, Happy New Year 2026! This year is designated in the Chinese Calendar as the Year of the Fire Horse (starting on February 17.). The year 2026 brings not only tremendous energy to AI development but also, in …
-
🛡️ Dev Guide: How to choose your LLM without ruining your Java code (2026 Edition)
Table of Contents 1. The “Bloatware” Trap: Precision vs. Verbosity 📉🆚 The Code Face-off: Filtering a list2. Security: A “Bug” is not the same as an “Open Door” 🚨💀 The danger of “Blockers”3. “New” does not guarantee “Better Code” 📉4. …
-
Not a Lucid Web3 Dream Anymore: x402, ERC-8004, A2A, and The Next Wave of AI Commerce
Table of Contents Vocabulary for this articleForewordPart 1 – Bringing companies on-chain with x402Part 2- Introduction: Beyond Ads and Subscriptions: Agent Commerce on x402 and ERC-8004Part 3 – Tech that will change the internetAgent commerce, x402, and ERC-8004: from ad-funded …
-
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 …
-
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 …
-
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 …
-
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 …
-
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 …
-
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 …
-
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 …
