I built an entire website with AI. collectyourcards.com lets users track and manage their sports card collections without all of the work. 900,000+ sports cards (and growing). Universal search. Achievement system. Social features. Sales tracking down to the cost of an individual envelope. All of it.
This completely free series teaches you how to write real software with artificial intelligence. No theory. No hype. Just the tactics that actually worked.
(Yes, AI helped me build this site, too.)
What You’ll Learn
Week 1: Foundation (Days 1-7) Learning to work with AI. GitHub Issues as your backlog, component libraries, observability, prompting patterns, breaking features into phases, and context management.
**Week 2: Tactics …
I built an entire website with AI. collectyourcards.com lets users track and manage their sports card collections without all of the work. 900,000+ sports cards (and growing). Universal search. Achievement system. Social features. Sales tracking down to the cost of an individual envelope. All of it.
This completely free series teaches you how to write real software with artificial intelligence. No theory. No hype. Just the tactics that actually worked.
(Yes, AI helped me build this site, too.)
What You’ll Learn
Week 1: Foundation (Days 1-7) Learning to work with AI. GitHub Issues as your backlog, component libraries, observability, prompting patterns, breaking features into phases, and context management.
Week 2: Tactics (Days 8-14) Managing AI’s quirks. When to restart, Git as your undo button, agent configuration, teaching AI your patterns, the “common AI mistakes” file, constraining AI, and spotting hallucinations.
Week 3: Expert Roles (Days 15-21) AI as your team. Context and tokens, then using AI as security auditor, SRE, test generator, code reviewer, debugger, and architect.
Week 4: Production & Mastery (Days 22-31) Real-world tactics. Production debugging, edge cases, deployment automation, refactoring, multi-service work, prompt libraries, the tool landscape, measuring impact, technical debt, and building your personal playbook.
Start Here
Subscribe today, and you’ll start receiving a new vibe coding article every day in January 2026.
Each article is a deep look at best practices in AI-assisted software development with real examples from building collectyourcards.com. After the series has concluded, we will continue the conversation as the vibe coding landscape evolves.
About This Series
Every article includes:
- Actual conversations about real AI-assisted software development topics
- Honest lessons from what didn’t work
- Tactics you should use immediately
Jeff Blankenburg spent the early part of his career in digital advertising, building websites for Burton Snowboards, Abercrombie & Fitch, and Ford Motor Company, among others. He also spent 9 years at Microsoft, primarily as an evangelist for any new developer technology he could get his hands on. He followed his passion to Amazon, where he was the Chief Technical Evangelist for Alexa for the following 7 years.
Today, he is the Principal Developer Advocate at Dynatrace, helping developers use AI to make cloud native apps easier to build and maintain. Jeff has also spoken at hundreds of conferences all over the world, including London, Munich, India, Tokyo, Sydney, and New York, covering topics ranging from software development technologies to soft skill techniques. He also serves as an organizer for the Stir Trek conference in Columbus, Ohio.