Our agenda
Expect real stories and grounded insights. Discover with us an onsite, invite-only discussion if AI can actually help transform software delivery, or if it is just pure hype.
13:00-13:15 Welcome with snacks and an apéritif
13:15-14:15 Discussion “AI for Engineering Teams”
14:15-15:15 Lunch break
15:15-16:15 Discussion “AI/LLM across the entire SDLC process”
Afterward, you can join us for a guided tour of the AQUATIS Aquarium-Vivarium, or head straight to Scala Days to connect with the crowd.
Take a sneak preview of what we will talk about.
AI for Engineering Teams:
Hype vs. Reality
The internet is full of bold claims about AI tools revolutionizing software development. They promise 2x, 5x, or even 10x productivity gains. But how does that stack up against the day-to-day reality of legacy systems, closed-source codebases, and minimal documentation?
- How do you actually measure engineering effectiveness and improvements with AI tooling.
- The challenges of adopting AI tools in complex, brownfield environments.
- Practical strategies for making AI tooling work when the codebase is far from ideal.
AI/LLM across the entire
SDLC process
Most AI tools today focus on accelerating code generation. But in large-scale software delivery, coding is a fraction of the workflow. A 2x gain in coding speed might only yield a 15–20% improvement across the full SDLC. Push that to 5x, and the bottleneck shifts. Can we even keep up?
- AI tools that support the entire SDLC, not just coding.
- How organizations must rethink their development workflows as generation speed increases.
- The evolving roles of engineers, reviewers, and product teams in an AI-augmented future.
