Notes on AI-Integrated Development: Context Hoarding, Tool Thrashing, and 6 Other AI Coding Mistakes I Make Weekly

Plus the uncomfortable truths about AI development that marketing won't tell you

Notes on AI-Integrated Development: The 4-Layer Defense System That Stops AI From Shipping Broken Code

Context engineering, interface selection, safety gates, and scale-ready patterns

Notes on AI-Integrated Development: The 3 Modes of AI-Integrated Coding

Sharing patterns from personal projects that predict whether AI will help or hurt - after burning countless hours on abandoned code

The Tech Lead's Playbook for Perfect PM Handoffs using AI

From brainstorm chaos to AI-PM clarity

From Blank Specs to Prompt-Generated Requirements

Half-written specs don't scale—they just defer friction.

Treat Your PRs Like APIs: The Prompt That Makes It Happen

Ship safer and faster by automating your PR descriptions

How to Write Prompts That Generate Reusable, Maintainable Code

Most developers prompt for code. The better ones prompt for structure.

From Unclear Ticket to Aligned Spec: A Before/After Walkthrough

Instead of jumping into implementation, start complex features with a clarification prompt—when it's worth the time.

Start Here: The AI-Native Engineering Canon

A working library of systems, workflows, and artifacts for developers building with LLMs.

Level 2: AI-Curious – What to Do When Nothing Sticks

Experimenting with AI occasionally? Here's how to find your first reliable use case.

Level 1: AI-Resistant – Not Using AI? Here's How to Evaluate If You Should

A practical guide to deciding if AI tools fit your workflow

The 10 Developer Workflows That Change When You Go AI-Native