Field Notes in Agentic Engineering: SDLC Traceability is an Unsolved Problem

Inside the SDLC traceability gap I kept hearing about at DevNexus

Field Notes in Agentic Engineering: What Enterprise Teams Shared With Me

What I heard from enterprise engineers at DevNexus about speed, standards, and software integrity.

How to Preserve Understanding When AI 10x's Your Code Output

AI Security Resources for Developers

A Comprehensive Guide to Red Teaming LLM-Integrated Applications

Platform Engineers Are Building the AI-Native Enterprise (Full Breakdown)

The AI Transformation Few are Talking About: How Platform Teams Are Turning AI Noise Into Real Organizational Advantage—Backed by Data, Experience, and the DORA Report

What is Viable Coding?

The Practice That's Saving Enterprise Development Teams From AI Chaos

Chasing AI-Native Software Development

How I'm Helping Enterprise Software Developers Shift from Vibe Coding to Viable Coding

How to Choose AI Developer Tools That Improve Team Productivity

Stop Buying AI Tools Based on Feature Lists: A Framework for Workflow-Native Evaluation

The Great Generative AI Architecture Gap: 8 Critical Patterns We Need to Define Now

How the AI industry's breakneck pace is creating massive architecture gaps—and why the next 12 months will determine who owns the infrastructure layer of AI.

Securing the ML Pipeline: Why AI/ML Demands a Security Mindset

Why Securing the MLOps Lifecycle Is Non-Negotiable

The Double-Edged Sword: The Reward is in the Risks of AI

How technologists can harness AI’s full potential, safely and responsibly.

Gen AI Testing is Not Software Testing: Rethinking QA for Intelligent Systems

Traditional testing won’t cut it. To build intelligent, reliable AI systems, product teams need a new playbook.