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#continuousdelivery

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LLM-driven code generation threatens a return to “big batch testing” and massive releases because the amount of code to review is just too large for human comprehension. We’ve been there before and it’s not good.

Continuous Delivery practices helped get out of that mess, but apparently "it all changes with AI" 🧐

Who would welcome a talk / article about this?

🤖➡️🗻

There's a lot of "Reminder; don't deploy to production on a Friday" messages going around.

A counter PSA: deploy on a Friday. Deploy whenever. Deploy little. Deploy often.

If you're frightened of your deployments, then take a hard look at them. Don't just _stop_.

Mastering Observability: Softwaresysteme verstehen, steuern und verbessern

Wie sich die Anwendungsverfügbarkeit auch KI-gestützt sichern lässt, Probleme erkennen und Fehler vermeiden lassen, zeigt die Online-Konferenz am 5. Juni 2025.

heise.de/news/Mastering-Observ

heise online · Mastering Observability: Softwaresysteme verstehen, steuern und verbessern
More from Matthias Parbel

Last Call zur Mastering GitOps: Von Continuous zu Progressive Delivery

Die Online-Konferenz am 30. April zeigt, wie sich komplexe Infrastrukturkonfigurationen nach GitOps-Manier umsetzen lassen und wie Progressive Delivery gelingt.

heise.de/news/Last-Call-zur-Ma

heise online · Last Call zur Mastering GitOps: Von Continuous zu Progressive Delivery
More from Matthias Parbel