Can you build an app, from the ground up, just by talking to an AI LLM? In this investigative series, Grant Fritchey finds out. Discover what Grant learned (the good, bad, and the ugly), what he’d do differently next time – and if it’s worth trying yourself. Features tips, tricks, code to follow along with, and more.

Grant Fritchey in AI

AI built my WordPress plugin. Here’s what worked – and what went wrong (building an app with AI, part five)

Learn what happens when you try building a working WordPress plugin for your app with AI – featuring plugin creation,…

20 July 2026 9 min read 1

Grant Fritchey in AI

I let AI build my API. Here’s what happened (building an app with an AI LLM, part four)

Learn how to use Microsoft CoPilot and GitHub Copilot to build a secure REST API— covering Azure deployment, PostgreSQL integration,…

13 July 2026 8 min read

Grant Fritchey in AI

AI can build the pipeline, but don’t trust it for security (building an app with an AI LLM, part three)

Learn what happens when you let GitHub Copilot and VSCode set up database migrations and a GitHub Actions pipeline on…

06 July 2026 8 min read 1

Grant Fritchey in Databases

I let Copilot build my database. Here’s what I learned – and everything I’d do differently next time (part two)

What happens when Microsoft Copilot designs a PostgreSQL schema for Azure? Here’s what it got right, what it got wrong,…

29 June 2026 23 min read 1

Grant Fritchey in AI

How I built an app just by talking to an AI LLM – the good, the bad, and what I’d do differently next time (part one)

Building a real app end-to-end with an LLM: lessons from week one of dbRosetta. Why scope, prompt templates, and acceptance…

22 June 2026 9 min read 211