Why Spring Teams Don’t Need a Second Runtime for AI Agents
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 ...
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Context Is Code: A Tour of APM and AgentRC
Table of Contents 1. The problem: agent context drifts2. The idea: what if agent context had a package.json?3. The 3 strong guaranteesPortable by manifestSecure by defaultGoverned by policy4. What an APM package can contain5. The five commands you’ll actually use6. …
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Tiberius: A Security Testing Framework for LLM Applications in Java
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 …
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BoxLang AI 3.2.0 — Image Generation, Web Search, Fluent Audio, Agent Registry & MCP Observability
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 …
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Context Is a Budget — Eight levers and three workflow patterns
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 …
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Introducing skills.boxlang.io — The Open Agent Skills Ecosystem for BoxLang & the Ortus World
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 …
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How to Develop AI Agents Using BoxLang AI: A Practical Guide
Table of Contents What we’ll CoverPrerequisitesStep 1 — Install BoxLangStep 2 — Install the bx-ai ModuleStep 3 — Set Up Your .env FileStep 4 — Configure config/boxlang.jsonStep 5 — Run Your First ScriptWhat Are AI Agents?What Is BoxLang AI?Core Concept …
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BoxLang AI Deep Dive — Part 7 of 7: MCP — The Protocol That Connects Everything
Table of Contents 🔌 Consuming MCP Servers — The Client SideSeeding Agents with MCP ServersHow MCPTool Works🖥️ Building MCP Servers — The Server SideSimple ServerHTTP Transport for WebWeb Application Integration🔒 Enterprise Security FeaturesCORSRequest Body Size LimitsAPI Key ValidationAutomatic Security HeadersSecurity …
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BoxLang AI Deep Dive — Part 6 of 7: Memory Systems & RAG — Building AI That Remembers
Table of Contents 🧠 Two Categories of Memory📋 Standard Memory TypesSummary Memory — How It Actually Works🔍 Vector Memory TypesHybrid Memory — The Best of Both🏢 Per-Call Multi-Tenant Identity Routing📚 Document Loaders🔗 Building a Complete RAG PipelineStep 1: IngestStep 2: …
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BoxLang AI Deep Dive — Part 2 of 7: Building a Production-Grade AI Tool Ecosystem
Table of Contents 🏗️ The Tool Hierarchy🧱 BaseTool — The Abstract FoundationFluent Schema Description⚡ ClosureTool — Zero-Boilerplate Tool CreationTools Get the Full Chat Request🗄️ The Global AI Tool RegistryModule Namespacing@AITool Annotation ScanningTwo-Step Resolution🔧 Built-In Core Tools — now@bxai🔌 MCPTool — …
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BoxLang AI Deep Dive — Part 1 of 7: The Skills Revolution 🎓
Table of Contents 🧠 What Is a Skill?📄 The SKILL.md File Format🔧 Creating Skills⚡ Two Injection ModesAlways-On SkillsLazy / Available SkillsThe loadSkill Tool — Auto-Registered, Not MagicPromoting Lazy Skills Mid-Session🌍 Global Skills Pool🎨 How Skills Render🔍 Introspection📋 Full Skills API …