upcoming in Zürich

UpcomingZürich   01.09.2026 18:15h (iCal)

Agentic Coding: From the Idea to the Live Product

Building a SaaS Product With Paying Customers Alongside a Full-Time Job

SPEAKER: Moritz Eberhard
KEYWORDS: AI, Architecture, Lessons learned, Product

Can a single developer, alongside a full-time job, build a complete SaaS product that attracts real paying users? Not as a demo or prototype, but with an iOS app, Android app, React frontend, Spring Boot backend (Kotlin), AWS infrastructure via Terraform: All productive and approved in the App Store and Google Play? That's exactly the experiment I ran by using agentic coding over the past 18 months.

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UpcomingZürich   07.09.2026 18:15h (iCal)

Identifying and fixing Issues in Code using AI based tools

SPEAKER: Venkat Subramaniam   COMPANY: Agile Developer, Inc.

KEYWORDS: AI, Security, Tools

Software vulnerability is a huge concern. What's lurking in code is a question that keeps passionate programmers up at night. Is there a memory leak, what about a race condition, oh what about security issues, are we violating purity of functions when we're not supposed to? We have to maintain code that others have written and it's not always easy and quick to detect those defects ticking away in the code.

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UpcomingZürich   16.09.2026 18:15h (iCal)

Softwarearchitektur in Eigenregie bewerten

Mit LASR in 2-3 Stunden zu ersten Review-Ergebnissen

SPEAKER: Stefan Zörner   COMPANY: embarc Software Consulting GmbH

KEYWORDS: Architecture

Mit Architekturbewertungen ist es möglich, Schwächen und Potenziale von Softwarelösungen herauszuarbeiten, Entscheidungen abzusichern und Verbesserungsmaßnahmen zu bewerten. Klassische Analyseansätze aus diesem Umfeld wie ATAM sind fundiert, kommen aber gerade in beweglichen Softwarevorhaben etwas schwergewichtig, mitunter fast zeremoniell daher.

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UpcomingZürich   13.10.2026 18:15h (iCal)

Deterministische Tests für nicht-deterministischen Code

Multithreading in Java beherrschbar machen

SPEAKER: Thomas Krieger
KEYWORDS: Methods, Open Source, Testing, Tools

Multi-Threaded Java verhält sich per Definition nicht deterministisch. Genau das macht das Testen so schwierig. Klassische Unit-Tests reichen oft nicht aus, um Race Conditions oder Deadlocks zuverlässig zu finden.

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UpcomingZürich   27.10.2026 18:15h (iCal)

Kill your Tests

Wie wir den E2E-Sumpf mit KI-Agenten endlich trockenlegen

SPEAKER: Felix Tensing   COMPANY: NÜRNBERGER Versicherungsgruppe

KEYWORDS: AI, Lessons learned, Testing, Tools

Wir kennen es: Die E2E-Testsuite wächst schneller als der eigentliche Feature-Code. Was als gute Absicht begann, endet in einer unübersichtlichen Sammlung von Copy-Paste-Wüsten, die ewig laufen und am Ende doch nur Zufallsergebnisse in einer chronisch roten Pipeline liefern.

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UpcomingZürich   10.11.2026 18:15h (iCal)

Beyond Hype

An Engineering Approach to Evaluating Coding

SPEAKER: Robert Munteanu   COMPANY: Adobe

KEYWORDS: AI, Tools

AI coding assistants are quickly becoming part of everyday development workflows, and teams are starting to invest in agent-specific tooling such as reusable skills, repository instructions, and external tool integrations. But before adopting or expanding that tooling, we should ask a basic engineering question: does it actually improve results? A higher task success rate is useful, but it is not enough on its own. Speed, cost, and reliability matter too.

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UpcomingZürich   26.11.2026 18:15h (iCal)

Raft by Hand: What Lies Between the Paper and a Production Cluster

From Consensus Algorithm to a Reliable System in Production

SPEAKER: Felix Berger   COMPANY: fbt Berger – Future Build Technology Berger

KEYWORDS: Architecture, Open Source, Tools

Anyone running Kubernetes, Kafka or Consul depends on a consensus algorithm every single day – most likely without ever having seen one. It is the reason a cluster can still agree on one shared truth when individual nodes fail or the network splits apart. And it is the reason two nodes must never both believe they are in charge.

Raft is considered one of the more approachable consensus algorithms. Leader election and log replication fit into a few pages of the paper. Between an understandable algorithm and a cluster you would trust with production data, however, lie a number of surprisingly hard details.

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