airhacks.fm podcast with adam bien Building a Production-Ready Postgres Kubernetes Operator in Java with Quarkus and GraalVM
Jan 10, 2026
Alvaro Hernandez, a software engineer and creator of StackGres, dives into the fascinating world of Postgres on Kubernetes. He discusses how LLMs can generate efficient Java code and why Java outshines Python and TypeScript in this context. Alvaro introduces StackGres as a curated stack for PostgreSQL, highlights its powerful automation capabilities, and explores its supportive interfaces. The conversation also touches on the benefits of Quarkus and GraalVM for container efficiency, the challenges of infrastructure automation, and the evolution of Java's role in modern development.
AI Snips
Chapters
Transcript
Episode notes
LLMs Excel With Patterned Java Context
- Alvaro Hernandez found LLMs generate high-quality Java code when fed patterns and business knowledge embedded in source.
- Embedding domain context in Java source makes LLM outputs align with developer style and speeds review.
Workshop Demo: LLMs Mimic Developer Style
- In a workshop Alvaro surprised attendees by showing LLMs generating Java following BCE patterns with minimal prompts.
- Attendees were amazed because the LLM produced code that matched the developer's style and structure.
Embed Business Context In Source
- Put business knowledge and intent into Java source (javadoc, package names) so future LLM prompts understand the project.
- Review generated components, take ownership, and iteratively refine prompts for consistent output.