01
METHOD / 01
Clarify the real objective
Align the business goal, usage context, and the core problem the first release must solve before implementation begins.
ENGINEERING METHOD / 01—06
I usually do not start by writing code.
For complex software work, I first make the objective, boundaries, interfaces, and acceptance conditions explicit. The implementation should follow the problem structure, not the other way around.
02
METHOD / 02
Define scope and boundaries
Make explicit what this phase includes, what it excludes, what will be delivered, and what acceptance means.
03
METHOD / 03
Design the technical path
Define architecture, interfaces, data flow, and task boundaries, and identify risky modules early.
04
METHOD / 04
Build and integrate
Move the core front-end, back-end, GIS, 3D, or automation modules forward in small verifiable increments.
05
METHOD / 05
Verify in realistic conditions
Test functionality, performance, data flow, and deployment assumptions close to the real runtime environment.
06
METHOD / 06
Deploy and hand over
Complete deployment, configuration, acceptance, and the documentation needed for the next phase.
AI-ASSISTED ENGINEERING
Faster execution still needs engineering control.
Each change has a defined scope instead of expanding opportunistically.
Important decisions and adjustments stay traceable.
Critical logic, interfaces, and runtime behavior are verified rather than assumed.
Phase completion and acceptance criteria are explicit enough to reduce rework.