Bhanu Korthiwada

Bhanu Korthiwada

The journal

Filed under

Technical Vision

8 pieces on this topic, newest first — essays, notes, and case files in one stream.

Feb 20, 2026

The Technical Leader in an AI-Accelerated Team

Essay

AI tools speed up first-pass implementation, but leadership leverage is moving toward problem framing, system judgment, and team clarity.

Feb 10, 2026

How to Run an Architecture Review That Actually Helps

Tutorial

Most architecture reviews are either rubber stamps or political obstacles. This is a practical guide to running reviews that improve technical decisions without slowing teams down.

Jan 5, 2026

Earn Complexity

Principle

Complexity is not inherently bad. Unearned complexity is. The difference is whether the complexity was added to solve a real, present problem — or to prepare for a future that may not arrive.

Dec 18, 2025

Architecture Decision Records as Team Communication

Framework

ADRs are widely prescribed and rarely used well. The reason is almost always that teams treat them as documentation artifacts instead of communication tools. Here is how to use them as the latter.

Dec 15, 2025

Optimize for Reversibility

Principle

Not all decisions are equally expensive to undo. The highest leverage engineering discipline is not making better decisions — it is preserving the ability to change them when you learn more.

Dec 10, 2025

How to Write a Technical Spec That People Actually Read

Tutorial

A technical spec is a decision document, not a documentation artifact. This guide covers how to structure one so it surfaces disagreement early, builds shared understanding, and creates a durable record of why the system was built the way it was.

Dec 1, 2025

Build for the Team That Will Maintain It

Principle

The best architecture for a system is the one the team that will maintain it can understand, debug, and change confidently. A technically superior architecture that the team cannot navigate is not superior.

Nov 28, 2025

Signal vs. Noise in Engineering Metrics

Framework

Most engineering metrics measure activity, not outcome. A framework for identifying which metrics carry real signal, which generate noise that looks like signal, and how to build a measurement system that actually improves decisions.