BoxLang 1.17.0 Released: Module Inception, CLI Checker, Jar Loading and much more!
Table of Contents Module InceptionLoad OrderClass Loader ChainingJAR ModulesA Parent Can Override What It BundlesWalking the TreeWhy This Mattersboxlang check: A Syntax Checker Built for AgentsThe Part That Matters for AI AgentsEncrypted Configuration SecretsThe Secret SeedSecurity Hardeninginclude Is Now Enforced ...
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Can You Explain the Diff Your AI Agent Just Wrote?
Table of Contents The one-month timelineWhat green tests don’t proveThe day development stopsExplain it in your own wordsThe Java lesson: where the invariant livesWhat a debugger adds that the chat can’tA checklist for any agent, before you accept a diffDisclosure …
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How I Built an AI Assistant for My Career with Java, Spring AI, and MongoDB
Table of Contents Storing the Knowledge Base with Spring AI VectorStoreThe ProblemThe SolutionExposing Capabilities as ToolsStructured MongoDB QuerySemantic SearchExternal Service with CalendlyThe best way to learn a technology is by putting it into practice in a real system. A few …
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One Base URL, Many Coding Agents: What an OpenAI-Compatible Gateway Looks Like From java.net.http
Table of Contents What a gateway is, mechanicallyProbing it from JavaThe boundary a Java developer should care aboutLesson one: code does not tokenize like proseLesson two: refresh the token before it dies, one per serverA checklist before you paste a …
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Debugging Is Invariant Discovery: What One Kafka Session Taught Us About AI Agents
Table of Contents The shape of the sessionWhat the agent got rightWhat it got wrong, and why it matters for Java teamsThe agent’s only sensor was the developerThe Java lesson: write the invariant down where a test can see itWhat …
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“Commit created” — but it isn’t: why the agent’s word needs external verification, and what the mistake costs
Table of Contents What the issue trackers show”Committed” and “pushed”Where the JetBrains IDE keeps the evidenceA five-minute walkthroughAcceptance checklist for agent-reported side effectsFAQConclusionSourcesA detailed report reads like proof. The agent lists the files it touched, names the branch, quotes a …
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Build an AI Agent (From Scratch)
Table of Contents FactsChaptersPros and consConclusionThis review is about Build an AI Agent (From Scratch) by Jungjun Hur and Younghee Song from Manning. Facts 10 chapters $29.29 (at the time of this writing) 315 pages Chapters Building your first LLM …
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From Spec-Driven Development to Living Specifications in Java Projects
Table of Contents The Promise of Spec-Driven DevelopmentWhat We Learned by Putting It into PracticeWhen the Specification Is Not the Source of TruthSBCE: Bringing the Specification Closer to the CodeSDD4J: Adapting to Multiple Architectures in Java ProjectsThere Is No Silver …
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Building an Agentic Warehouse Management System — Part 3: Tools, Decisions, and Actions
Table of Contents Accessing operational dataRetrieving depositor policiesActCompleteIf you haven’t read the first two parts yet, I recommend starting with Part 1: Where AI Agents Add Value and Part 2: Designing and Planning the Agent. There, we introduced the WMS …
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Building an Agentic Warehouse Management System — Part 2: Java and Spring AI
Table of Contents Define the AgentTrigger the AgentPlanIf you arrived here without reading the first part, I recommend starting with Agentic WMS — Part 1: Where AI Agents Add Value. There, we introduced the WMS scenario, explored the replenishment problem, …
