Category
Methodology
How we work when the answer is not settled yet: approach, architecture decisions and the trade-offs behind them. These pieces describe method rather than outcome, so you can follow our reasoning and carry it into your own project.
25 articles

Replacing a legacy system: step by step, not on one cut-over date How to replace a grown legacy system module by module: a router in front of it, an order derived from dependencies, and a parallel run with a comparison.
Why AI features fail in practice: seven stages where errors arise A wrong AI answer almost always has an address. Knowing the seven stages of an AI feature lets you find the fault before anyone swaps the model. 
Funding for AI projects in 2026: programmes, requirements and the path to an application Which funding programmes are open to AI projects in German SMEs in 2026, what they fund, and how to reach a sound application step by step.
Datenbaum-Fehler: warum Ihre Definition das Richtige rechnet und das Falsche ausgibt Die Geometrie stimmt, die Zuordnung nicht. Datenbäume sind die häufigste Ursache für parametrische Modelle, die plausibel aussehen und falsch sind. 

















