Agentic Engineering & ToolingLunch Talk40min
Looking at Music, Again. What a Dad, a Pianist Son, and AI Built Together
MelodyMatrix returns with a live piano demo of AI-assisted coding. The talk shows how AI turned sketches and descriptions into JavaFX and UI visuals, fixed Lottie rendering issues via disciplined testing, and improved websites and SEO. It offers an honest, practical look at systematic AI workflows.
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Frank DelporteAzul
Vik DelporteThe World
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Thursday, October 8, 12:55-13:35
TBA 6
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When a nerdy dad and his musician son join forces, some nice things can happen. MelodyMatrix started as a small MIDI experiment and grew into a full project. We presented it in 2024 with a live piano performance at Devoxx and J-Fall to prove it. A year later, AI entered the workflow.
Vik is back at the piano. Frank is back with his laptop. And we bring AI-assisted coding to the stage to demonstrate a workflow that actually worked.
You'll see how AI turned a photo of a hand-drawn chord diagram into a working JavaFX dynamic view, generated a drum set visualization from a description, and how a disciplined Architect/Coder workflow hunted down frame-by-frame rendering differences in Lottie animations. The key insight: design before prompting, keep sessions scoped, and let the failing test tell you what to fix next.
We also used this workflow to improve websites, achieve better SEO results, generate UI views, and burn too many API tokens. You'll see the bill.
No framework benchmarks. No enterprise use cases. Just two people, one piano, a few open-source projects, and an honest look at what systematic AI-assisted coding feels like from the inside.
Vik is back at the piano. Frank is back with his laptop. And we bring AI-assisted coding to the stage to demonstrate a workflow that actually worked.
You'll see how AI turned a photo of a hand-drawn chord diagram into a working JavaFX dynamic view, generated a drum set visualization from a description, and how a disciplined Architect/Coder workflow hunted down frame-by-frame rendering differences in Lottie animations. The key insight: design before prompting, keep sessions scoped, and let the failing test tell you what to fix next.
We also used this workflow to improve websites, achieve better SEO results, generate UI views, and burn too many API tokens. You'll see the bill.
No framework benchmarks. No enterprise use cases. Just two people, one piano, a few open-source projects, and an honest look at what systematic AI-assisted coding feels like from the inside.
Frank Delporte
Frank Delporte is a Java Champion working at azul.com, blogger on webtechie.be and foojay.io, author of "Java Programming for Raspberry Pi" (webtechie.be/books), creator of lottie4j.com and melodymatrix.rocks, and contributor to pi4j.com. Frank blogs about his experiments with Java(FX), sometimes combined with electronic components, on the Raspberry Pi.