I Spent 1.5 Billion AI Tokens on Absolute Slop

I spent 1.5 billion AI tokens and roughly 24 hours of compute trying to expand a real .NET application. The result was nearly 170,000 lines of bloated, unmaintainable code that ultimately had to be thrown away. In this video, I break down where the project went wrong, why a more powerful model would not have solved the underlying problem, and how developers should actually use AI on large software projects. AI is an incredible pair programmer, debugger, and productivity tool. But without proper architecture, checkpoints, Git, and someone who understands the code, it can generate technical debt faster than any human developer. What do you think? Is AI coding getting better, or are we just producing slop faster? *Chapters* 00:00 1.5 Billion Tokens 03:17 170,000 Lines 06:37 Technical Debt 09:45 Resetting Everything 13:06 The Right Approach 16:06 Final Verdict ►► Digital Downloads ➜ https://www.cttstore.com ►► Patreon ➜   / christitustech   ►► Twitch ➜   / christitustech   ►► Website and Guides ➜ https://christitus.com