Engineering articles
Technical articles about Java, Spring Boot, APIs, Apache Kafka, software architecture, and practical AI integration, with complete examples and production guidance.
Built to grow
Each article starts with a version baseline, explains the architecture, and keeps one consistent example from setup through tests and production safeguards.
A future article is added with one Markdown file and validated JSON frontmatter. The listing, route, metadata, article navigation, sitemap, structured data, and RSS feed update from that file automatically.
7 published guides across 4 categories, with tags generated from each article's frontmatter.
Latest articles
Runnable examples with the trade-offs, failure modes, and operating concerns that matter beyond a local demo.
A production-minded agentic workflow that enriches support tickets with tools, returns a validated triage decision, applies deterministic safety policy, and autonomously assigns only low-risk cases.
An advanced Spring AI retrieval pipeline that combines semantic and lexical search, reranks bounded candidates, validates citations, and measures retrieval quality before production release.
A production-minded walkthrough of document ingestion, token-aware splitting, embeddings, vector retrieval, prompt augmentation, REST delivery, tests, and operational safeguards.
A two-application example that exposes narrow incident-management capabilities through MCP and consumes them safely from a Spring AI chat client.
A runnable document-classification pipeline that accepts Kafka events, generates validated structured output with Spring AI, publishes results, handles retries and dead letters, and applies production controls for cost, privacy, and idempotency.
A practical migration path for a small REST service, covering dependency inventory, Spring Boot 4 modular starters, Jackson 3, configuration changes, tests, observability, containers, and rollback planning.
A complete event-driven example covering Kafka concepts, local KRaft setup, typed JSON events, producer acknowledgements, consumer groups, retries, dead-letter handling, testing, and production controls.
