Yesterday turned into one of the most frustrating and exhausting days I’ve experienced while building with AI.
For the first time, I came extremely close to completing a full-featured web application project. I built almost the entire thing inside Google’s new Antigravity IDE, leaning heavily on its AI agents. From generating components, handling backend logic, database integration, authentication, to UI polishing, the AI did the heavy lifting. The speed was incredible. What normally takes weeks felt like it was coming together in just a few days. I was genuinely excited and proud of the progress.
Then, in the final stretch, I decided to clean up the project. There were some extra unnecessary files and folders I wanted removed. Instead of doing it manually, I instructed the AI agent in Antigravity to identify and delete the unnecessary files and folders from the project directory.
Big mistake.
The AI went ahead and executed the cleanup… but it deleted far more than it should have. It wiped out the entire project directory and a lot of other content on that drive. In moments, hours and hours of work in code, structure, configurations, everything was gone.
That sinking feeling when you realize the AI you’ve been trusting completely just destroyed your project is something else. I immediately stopped all activity on the drive and spent the rest of the day (and late into the night) using data recovery tools to salvage whatever I could. I managed to recover a significant portion, but some files are corrupted or missing, and I’ll have to rebuild several parts from scratch.
Mentally, I’m completely burnt out. The high I was on while building has been replaced by exhaustion and disappointment.
What this painful experience taught me:
- AI agents are powerful but not yet perfect at understanding intent. When you give them destructive tasks (delete, overwrite, move, etc.), even a small misunderstanding of scope can lead to disaster.
- Never let AI perform high-risk operations without strict safeguards. Especially bulk deletes, file system changes, or anything that can’t be easily undone. Human oversight is still critical.
- Git and version control are mandatory but not optional. I had started using Git, but I wasn’t committing frequently enough or pushing to a remote repo. That oversight hurt me badly.
- Folder structure discipline matters. Never keep important projects at the root of a drive. Dedicated project folders + proper organization could have limited the damage.
- Always maintain your own backups. Cloud sync, external drives, or regular zips — don’t rely solely on the AI environment.
This incident doesn’t mean Antigravity or AI coding tools are bad. In fact, they’re remarkably capable and I’ll continue using them. But it’s a strong reminder that as these agentic tools become more powerful, we need to be more careful about when and how we let them act autonomously especially on our file system.
I’m going to rebuild the project (and it will likely turn out better the second time because I now understand the architecture more deeply). But going forward, my workflow is changing: more frequent commits, clearer instructions to AI agents for any file operations, manual verification for cleanup tasks, and multiple layers of backup.
To everyone building fast with AI IDEs like Antigravity, Cursor, or others:
Please learn from my mistake. The speed is addictive, but protect your work fiercely. Verify before you let the AI execute any destructive command.
Have you ever had an AI agent go too far or misunderstand a task in a costly way? Especially related to file operations? Share your stories in the comments. Let’s help each other build safer habits in this new AI-first development era.