AI Leadership
How engineering leaders and teams apply AI to delivery with standards, judgment, and clear accountability.
← All dispatchesIn Defense of AI-Generated Writing
AI-generated writing can be worth publishing when the person whose name is on it owns the premise, evidence, judgment, and responsibility. One-shot vibe-writing is something else entirely.
Should We Build This Has No Test Suite
AI can plan, build, test, and review software. None of those capabilities can prove that the objective deserved the investment.
Good AI Management Is Just Good Management
Agent loops and spec-driven development give AI workers what good managers give junior developers: the right context, delivered at the right time, inside clear boundaries.
The Loop Is the Easy Part
Everyone is hyping agent loops. The loop was never the hard part. A fighter pilot figured that out half a century ago, long before the rest of us typed a prompt.
Effectiveness = Management × Contribution²
AI is collapsing the timeline on strategic initiatives. Work that used to take months of mapping and planning now takes days. That collapse changes the math of who should be building.
How to Set Agentic Coding Standards Across Multiple Teams
One dev uses Claude, another uses Copilot, a third uses Cursor. They're all generating code in your codebase. Without shared standards, you don't have standards.
Your Org Needs an Internal AI Skills Marketplace
AI skills are distributed software with privileged access. Treat them like part of your supply chain, not random files developers install from strangers.
Your AI Instructions File Should Be a Router, Not a Novel
Most teams dump everything into one massive AI instructions file and wonder why their agents ignore half of it. The fix is architecture, not more words.
Vibe Shipping Is the Real Problem
The generation method isn't the crisis. Giving up intentional control over what ships is.
Give Your AI Agent a Map of Your Codebase (For Free, Locally)
Every AI coding session starts with your agent scanning the codebase to figure out what's going on. A code map eliminates that cold start entirely.
The Three-Agent Playbook for Legacy Code Modernization
Legacy rewrites fail because business rules buried in old code get lost in translation. A three-agent pipeline extracts that knowledge before anything changes.
Vibe Coding Is Not a Strategy
AI can write code quickly, but engineers still own intent, architecture, standards, review, and the decision to ship.
AI Doesn't Write Spaghetti Code. You Do.
AI can produce spaghetti code. It usually does so when the organization gives it no standards, no local context, and no meaningful way to check the work.
Your Internal NuGet Packages Are an AI Blind Spot
AI coding tools know every public package cold. Yours? Brand new to them. Here's what happens when the AI guesses, and how to fix it.
Your AI Can Write Code. It Still Needs Stories.
AI can generate features from a prompt. That's exactly why you need stories more than ever. Without them, you ship generic output and call it productivity.
The AI-Powered Requirements Pipeline That Makes Planning Faster
Four AI skills chained together that help a product owner turn feature ideas into developer-ready stories without starting from a blank page.
Engineering Leaders Have the Advantage in the Age of AI
Defining outcomes, reviewing output, managing feedback loops: the skills that make a great engineering leader are exactly what makes someone effective with AI.
Your AI Code Quality Problem Is Actually a Standards Problem
Developers complaining about AI-generated slop are diagnosing the wrong problem. The code isn't bad because of AI. It's bad because of you.