WAYF is a Python Development Agency:
From Notebooks to Production.

The most common pattern: Python backends that start as prototypes and never get properly architected. No type hints, no dependency management, no testing, no structure—code that worked for one developer but becomes unmaintainable as teams grow. We've inherited plenty of these. Sometimes they can be incrementally improved; sometimes they need more significant intervention.

We also see teams misuse Python for problems it doesn't fit. High-concurrency services where the GIL becomes a bottleneck. Compute-heavy work that would run faster in a compiled language. Real-time applications where latency matters. Python is versatile but not universal; knowing its limits matters.

Another pattern: dependency chaos. Requirements files that don't pin versions. Virtual environments that drift. Packages that conflict. The Python ecosystem is powerful but requires discipline. Teams that skip this discipline accumulate problems that compound over time.

We also see premature optimization—or its opposite. Teams over-engineering async Python for applications that don't need it, or writing synchronous code for services that will need concurrency. Getting the architecture right initially is easier than retrofitting it.

We assess without judgment. Many Python codebases got where they are through reasonable decisions and changing requirements. We understand the constraints, identify what matters most, and figure out the path forward—whether that's refactoring, optimization, or rebuilding.