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2/9 In distributed systems, we usually solve this with the Transactional Outbox Pattern. You write the business change and the pending event in the same database transaction. Then another process reliably publishes the event to Kafka.

3/9 When I started moving from software engineering into AI engineering, I thought I needed to deeply understand model training, evaluation, feature engineering, research papers, and ML deployment pipelines before I could build useful agents. I was wrong.

4/9 Learning ML fundamentals is valuable. But most software engineers do not need to become machine learning researchers to build agentic applications. Models are available through APIs now. The harder problem is integrating them into real systems.