01
Problem Framing & First Principles
Strip the problem of preconceptions. What are the mechanical requirements? Is this best solved as a compiler, a native mobile app, or a lightweight CLI tool?
02
Architecture & Schema Design
Design the data structures first. If the state representation and AST types are clean, the surrounding algorithms become significantly simpler.
03
Implementation & Pair Programming
Iterative development combining focused manual coding with AI agent acceleration. Code is written in small, verifiable increments with constant execution feedback.
04
Benchmarking & Edge-Case Testing
Testing beyond the happy path. In compilers: fuzzing syntax errors and recursion depth. In Android: verifying lifecycle pause states, orientation flips, and memory pressure.
05
Deterministic Release & Distribution
Automated build verification through GitHub Actions CI/CD. Artifacts are validated for integrity, size constraints, and live URL health before deployment.