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 ...
-
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 …
-
From Zero (Really Zero) to OpenTelemetry
Table of Contents The Super Awesome PromptWhy This Prompt WorksAfter The Agent FinishesFollow Up Prompts You’ll Likely Want Here’s a super awesome prompt (e.g., for Claude Code) that you can use with https://github.com/dash0hq/agent-skills, the free collection of skills for AI …
-
AI-Powered Code Review Assistant: Automated Code Analysis with Spring AI and MongoDB
Table of Contents Prerequisites1. Project setup2. Storing and managing review patternsDefining the pattern modelCreating the repositoryBuilding the service layerExposing the REST endpoints3. Embedding patterns with Spring AI and MongoDB Atlas Vector SearchAdding Spring AI dependenciesGenerating embeddingsSeeding the pattern libraryCreating the …
-
BoxLang AI Series: Complete Guide to Building AI Agents
Table of Contents Start Here: A Practical OverviewThe Full SeriesWhat You’ll LearnKey ResourcesWhy BoxLang AIReady to Start Building? The world of AI development is moving fast, but building real, production-ready AI agents doesn’t have to be complex. This series walks …
-
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 …
-
Explore Spring AI SDK – Amazon Bedrock AgentCore – Part 3
Table of Contents 1. Adding Built-in Tools: AgentCore Browser2. Add the below class.3. Create a Controller4. Create a Thymeleaf UI page5. VerifyReferences In Part 1 and Part 2, we explored the Spring AI SDK and Amazon Bedrock AgentCore features, including …
-
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 …
-
Building an AI-Powered Operations Assistant with Spring AI and MongoDB Atlas — Part 1: RAG Foundation
Table of Contents The problemWhat we are buildingWhy RAG and why MongoDB AtlasHow the Pieces Fit TogetherGetting the Project RunningThe Ingestion PipelineThe Retrieval PipelineThe Atlas Vector Search IndexTrying It OutConclusion and What’s Next This is the first article in a …
-
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: …
-
BoxLang AI Deep Dive — Part 5 of 7: One API, 17 Providers — The Provider Architecture Deep Dive
Table of Contents 🗺️ The Full Provider Matrix🏗️ The Provider Hierarchy🎯 IAiService — The Trimmed Interface🛡️ The Capability SystemRuntime Capability DetectionQuerying CapabilitiesEnforced at the BIF Level🔧 BaseService — The Transport Layer⚙️ Provider Configuration🔀 Custom Base URLs🏠 Ollama — Local AI, …