
Why Human Engineering + AI Is the Only Model That Actually Scales
AI accelerates execution, but human engineers make systems survive reality.
Deep dives into web development, AI, mobile apps, and the technologies shaping our digital future.

The debt does not show up in demos.

Speed without judgment creates fragile systems.

Why data contracts are the real AI accelerator.
A/B tests, offline evals, and human-in-the-loop QA that actually works.

Use events to decouple AI steps and keep SLAs.
A pragmatic checklist for reviewing AI-written code.

When to use embeddings, and when a good index beats them.
How to design software that gets stronger under stress.

Patterns of failure in AI-generated code and how senior devs fix them.
Turning rapid prototypes into production-grade systems.

Why niche beats noise in production settings.
A surgical plan for safe, incremental decoupling.

Turn opaque model calls into transparent systems.
Let the compiler enforce what docs can only suggest.

Opportunity cost, tech debt, and narrative traps.

How to stop UI regressions before they hit users.
Designing user journeys when inference isn't instant.

A simple triad to keep AI bills sane.

A roadmap for moving AI agents from prototype to measurable ROI.

Make AI agent behavior transparent with metrics and logs.

Moving from policy to practice with enforceable safeguards.

Best practices for packaging and deploying AI agents in containers.