Brainfood Talks

SQUER gains Sophora Unternehmerkapital as a strong partner for its next growth phase. The shared goal: building a leading platform for digital transformation, software modernisation, and applied AI across the DACH region.

A fourth test post, so that "Show all" has something to reveal.

We sat down with Pauline Chajecka, who just joined SQUER as our first dedicated Intent Engineer, to talk about what the role actually looks like day-to-day, which skills matter most, and why she thinks this is the most interesting job in software delivery right now.

Analyzers and source generators as a team practice: encoding architectural rules where developers actually meet them.

We published our internal methodology for turning business needs into AI-ready deliverables. Here's what's in it, why it matters, and how Intent Engineers actually work.

When McKinsey's AI platform "Lilli" was breached in March 2026, 46.5 million chat messages and 728,000 confidential files were exposed — not through sophisticated AI manipulation, but through unauthenticated API endpoints and basic SQL injection. In this post, Keno Dreßel argues that the real lesson isn't about AI security. It's about old engineering failures meeting a relentless new class of attacker.

In this article, we explain why traditional requirements and user stories fall short when working with AI agents. We did introduce the Intent Engineer, a new role SQUER created to bridge the gap between business need and autonomous code generation. This article explains the methodology behind Intent Engineering, the Focused Impact Pair model, and how two people plus AI agents can replace traditional delivery teams.

Partition keys, change feed and idempotent consumers — the three decisions that carry an event-driven workload.

AI agents are already performing critical actions across modern DevOps platforms. But as automation scales, one question becomes unavoidable: who is actually in control?

AI is everywhere—and so are calls for regulation. But what if regulating AI creates the very benchmark it learns to bypass? This article explores the paradox at the heart of AI governance, from data and guardrails to adversarial models.