About
I'm a Software Engineer focused on developer tooling, maintainability, and high-performance systems, with a strong interest in the Python and Rust ecosystems. I'm the creator of complexipy, an open source cognitive complexity analyzer for Python written in Rust, designed to provide fast local feedback for developers and CI pipelines. I've also contributed to open source projects including Rust and other developer tooling initiatives. My work focuses on building tools that help engineers write more maintainable and reliable software.
Talk
Understanding Cognitive Complexity in Python
Modern Python makes it incredibly easy to write code quickly, but much harder to keep it understandable as projects grow. This talk explores cognitive complexity: a metric focused not on what code does, but on how difficult it is for humans to read, reason about, and maintain. Through real Python examples, we will analyze how nested conditionals, branching logic, async flows, exceptions, and growing business rules silently increase the mental load required to work with a codebase. We will also discuss why traditional metrics such as cyclomatic complexity often fail to reflect actual readability, and how cognitive complexity provides a more human-centered perspective on maintainability. The talk includes practical refactoring techniques, common anti-patterns found in production Python projects, and lessons learned while building complexipy, an open source cognitive complexity analyzer for Python written in Rust, designed to provide fast local feedback and CI integration.
- Country
- Colombia
- Language
- Spanish / Español
- Level
- Intermediate / Intermedio
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