AI92 articles

Table of Contents What agents actually need in productionWhat Spring already gives youBUILD: Create agent teamsGOVERN: Budget, approvals, permissions, checkpointsOPERATE: Observe, recover and run safelyRetry that understands costOperational sovereigntyOne stack, one runtimeGetting started A JVM-native runtime for building, governing and …

Table of Contents Core banking, reimagined as “AI-native”Payments and money movementLending, credit, and collectionsRisk, fraud, and complianceBuild-your-own-agent platforms and toolingData and infrastructure underneath it allContent, language, and trustServices and talentConclusions I walked the floor at Money20/20 in Amsterdam with a …

Table of Contents 1. The Problem2. What Tiberius Does2.1 Fixture-Based Regression Testing2.2 Guardrail Validation Against Real Attack Data2.3. Probabilistic Security Contracts2.4. Bias Testing2.5. Model Fingerprinting3. Attack Coverage3.1 Buff Mutations4. Integration5. The Case for Shared Attack Datasets6. Security Testing as a …

BoxLang AI 3.2.0 is here, and it’s a landmark release. We’re shipping five major features: image generation, web search, a fluent audio builder API, a centralized agent registry, and deep MCP observability along with a suite of analytics improvements and …

Table of Contents Where Jakarta EE Comes From and Where It’s HeadedThe Past, Present, and Future of Enterprise Java – Ivar Grimstad (Eclipse Foundation)Jakarta EE Meets AI: Three Angles on the Same ProblemThe Intelligent Monolith: Supercharging Jakarta EE with Local …

Table of Contents YouTubePodcast AppsGuestsLinksContent BoxLang is a modern dynamic JVM language built for rapid application development. It’s 100% Java-interoperable, compiles to JVM bytecode, and deployable anywhere from OS to AWS Lambda to Spring Boot. In this episode, we sit …

Table of Contents Making AI Useful in Real ApplicationsWhat This Webinar Is AboutWhat You’ll LearnJoin the Ortus Community AI is everywhere right now, but for many development teams, the biggest question is no longer “What is AI?” it’s “How do …

Table of Contents Enterprise quality is a scaling problemLocal differences become delivery problemsNoisy diffs hurt review qualityIDE-based quality control is not enoughAI needs deterministic boundariesWhat enterprise quality gates should checkFormatting is only one source-code gateJava member ordering is harder than …

Table of Contents Where the tokens actually goThe Eight LeversA. Context engineering — scope your asksB. Prompt caching — order mattersC. Tool & MCP hygiene — every schema is a taxD. Custom instructions & skills — codify it onceE. Model …

Table of Contents 🤔 The Problem: AI Knowledge Doesn’t Scale by Copy-Paste🎓 What Is a Skill?📥 Install in Seconds: Two Paths, One Standard⚡ Option 1 — npx skills (works everywhere)🥊 Option 2 — ColdBox CLI (deep BoxLang/ColdBox integration)🔷 Core Repositories …