Angular Vienna

Fabian Funder (SBA Research | LinkedIn)
"Coding is a solved problem" proclaim LLM and AI agent companies alike.
Indeed, coding agents have become remarkably good at quickly turning a problem description into code that *plausibly* works.
Moreover, they generate automated tests and other verification procedures to check their solution.
Considering all those capabilities, what is keeping them from generating secure code?
In this talk we will explore the fundamental reasons why producing secure code is so difficult.
After that we will present a couple of strategies that help Coding agents by steering them into the right direction.

Julian Jandl (PushBased | LinkedIn)
Most SSR tutorials end at ng add @angular/ssr and deploy. None tell you what happens when you retrofit server-side rendering onto a mature Angular app composing a multi-tenant suite of products, serving real-money betting on data that moves second by second. This talk is the playbook that had to be written because none existed.

The architecture is Live-Data ISR: pre-rendered HTML kept continuously warm against live betting data, served from a cache, with one load-bearing guarantee, cache miss equals today. A page that isn't rendered falls back to the existing CSR experience, never a worse one. That single property is why SSR shipped across 40 brands with zero player-facing incidents, and moved p75 LCP from ~10.5s to ~2.7s on the devices that needed it most.

Then the frontiers you only hit in production: a browser-built codebase reaching for window and localStorage across hundreds of packages; memory leaks a short-lived tab forgives but a long-lived Node process accumulates; the render that did 2 seconds of work then sat idle for 18; ~30 distinct hydration failure patterns distilled into a four-layer diagnostic model; and a 100-pod render farm bottlenecked on TLS and connection handling, not application logic.

The throughline is AI as the force multiplier that made this tractable at all. A custom pattern detector feeds an AI-assisted, package-by-package migration: the agent finds violations, plans the change, applies it as a mechanical edit, runs the tests, and tickets the ambiguous cases for a human. The same rule set powers a merge-request review bot that flags SSR violations before they land, with the canonical fix attached, so ~2,500 contributors who never think about SSR still get caught at authoring time. Both run off a curated, machine-readable knowledge base of what SSR-safe means in this codebase, the context layer that lets an agent give answers specific to the platform rather than generic Angular advice.

You'll leave with a model for fail-safe SSR, a vocabulary for the failure modes you'll hit at scale, and a concrete picture of how AI workflows keep a giant codebase SSR-healthy under a weekly release cadence.

-----------------------❤️🤝❤️ Sponsors ❤️🤝❤️ -----------------------

PushBased
PushBased is a close-knit group of IT experts offering their knowledge and services in #Angular #RxJS #NestJS #JavaScript #TypeScript #webperf #Nx and more.
push-based.io/

LEAN-Coders
Special thanks to the Lean Coders team for sponsoring pizza & the meetup venue!
Check them out at lean-coders.at

-------------- 🎫🎫🎫 Raffle Raffle Raffle 🎫🎫🎫 --------------

As always, everyone who asks a good question during the talks receives a raffle ticket.
Win JetBrains licenses and other cool prizes!

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--------------------- 🎥 LIVESTREAM 🎥 ---------------------
The event will be live streamed on the Push-Based YouTube channel.

--------------------- 📋 FEEDBACK 📋 ---------------------
Help us improve by sharing your feedback after the event!

As usual, the event is livestreamed on the PushBased youtube channel.
Watch the Live Stream here!

--------------- 😇😎🥳 Code of Conduct 🥳 😎😇 ---------------
We value your safety.
Please check our Code of Conduct here: https://bit.ly/49rNIZK

--------------------- 📋 FEEDBACK 📋 ---------------------
Help us to improve by sharing your feedback with us here!