A place to dump notes from the journey — what worked, what broke, and the small realizations I don’t want to forget.

Designing sign up validation with value objects so forms stay honest, testable, and maintainable as the app grows.

How I brought a Cubit-style mental model (single state + explicit effects) into our GetX codebase to make UI predictable, composable, and testable.

Hardware-backed biometric enrollment with canonical JSON signatures, challenge-response, and safe device binding.

A capability-based entitlement layer for a multi-tenant Flutter app used by parents and schools.

Your AI doesn’t have to be a jerk to be smart.

How I manage environment configurations and implement a custom logging system for Flutter applications to improve security and debugging.

I believe AI doesn't mark the end of human relevance — it challenges us to grow, evolve, and unlock the next version of ourselves.

Technology like GPT-4.5 and Claude 3.7 is already here and insanely capable. The real bottleneck now lies in how people think about and use AI.