How I Build

I’d rather move with clarity than move fast in the wrong direction.

When I build, I focus on making decisions early, structuring the problem clearly, and executing in controlled steps.

Define the System Before Writing Code

Before building, I define the lifecycle, constraints, and boundaries of the system.
I make sure the flow is clear — from user action to final state — before touching implementation.

Explore and Limit Technical Options

I usually map 2–3 possible approaches, compare trade-offs, and pick one based on context.
Limiting options helps me move faster without overthinking.

Break Systems Into Phases

Instead of building everything at once, I split the system into focused phases
(e.g. payment → webhook → claim → notification).
Each phase has a clear goal and completion criteria.

Treat AI as an Execution Layer

I don’t rely on AI blindly — I structure detailed prompts with:

architecture rules
data flow & lifecycle
constraints (e.g. no schema changes)
expected behavior

This allows AI to generate code that fits into a real system, not just isolated snippets.

Maintain Full Control Through Review

All generated code is manually reviewed, adjusted, and aligned with the system design.
AI helps with speed, but I own the final decisions.

Build Systems That Can Grow

Even in MVPs, I prepare for future extensions
(e.g. payout flow, gateway abstraction, notification system)
without over-engineering the current phase.

Ship Iteratively, Not All at Once

Each phase is deployed and validated before moving forward.
This keeps progress visible and reduces risk.