Java demo repository | Difficulty: Intermediate Java | Format: Seven chapters with code and exercises Build a Java assistant one capability at a time, following the rounds of Codepocalypse Now: LangChain4j vs. JetBrains Koog. Each chapter explains the API that introduces the next capability, gives you an experiment to run, and identifies a pattern you can use in your own application. The examples use LangChain4j builders and Java interfaces directly. ...
TLDR Rion Williams wrote the theory on four Flink enrichment strategies. I built the runnable SQL for Confluent Cloud, where a few things work differently than open-source Flink (no PROCTIME(), no JDBC lookup joins). External enrichment uses a regular LEFT JOIN against a compacted Kafka topic. Gradual enrichment uses an event-time temporal join that gives you version-correct customer data per order. Both run as pure Flink SQL on Confluent Cloud. I published a Flink SQL skill on the Tessl registry that generates these queries for you. Pair it with mcp-confluent and your AI assistant can write the SQL, create the topics, and submit the Flink statements without you leaving the editor. ...