Complexity in software doesn't have to be a black box. As features evolve, bugs get fixed, and edge cases emerge, understanding software can become increasingly challenging—not just for developers, but for the entire team. In this talk, we'll explore how essential diagrams, like state machines, sequence diagrams, and entity relationship diagrams, can help manage that complexity. We'll also go a step further, discussing how these diagrams can remain synchronized with the code and how they can be analyzed to uncover logical flaws, potential issues, and missing use cases.

Complexity in software doesn't have to be a black box. As features evolve, bugs get fixed, and edge cases emerge, understanding software can become increasingly challenging—not just for developers, but for the entire team. In this talk, we'll explore how essential diagrams, like state machines, sequence diagrams, and entity relationship diagrams, can help manage that complexity. We'll also go a step further, discussing how these diagrams can remain synchronized with the code and how they can be analyzed to uncover logical flaws, potential issues, and missing use cases.

Complexity in software doesn't have to be a black box. As features evolve, bugs get fixed, and edge cases emerge, understanding software can become increasingly challenging—not just for developers, but for the entire team. In this talk, we'll explore how essential diagrams, like state machines, sequence diagrams, and entity relationship diagrams, can help manage that complexity. We'll also go a step further, discussing how these diagrams can remain synchronized with the code and how they can be analyzed to uncover logical flaws, potential issues, and missing use cases.