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I Let an AI Agent Refactor My Codebase — It Created an Infinite Loop and Nuked My Database

By CaelLee | | 9 min read

I Let an AI Agent Refactor My Codebase — It Created an Infinite Loop and Nuked My Database

Last week, I pointed Cursor 0.5.2's Agent mode at a 3,000-line payment module and told it to refactor. Thirty seconds later, my PostgreSQL container went OOM, Docker refused to start, and somewhere in the logs was an infinite loop the AI wrote all by itself. My local database? Toast.

That's what I want to talk about today — this love-hate relationship with "autonomous coding robots" that's simultaneously the most impressive and terrifying thing I've used in 15 years of writing software.

TL;DR for the Skimmers

So What Actually Is This Thing?

Agent mode in Cursor 0.5 is basically giving AI a pair of hands. It doesn't just autocomplete — it creates files, runs shell commands, installs npm packages, and even executes git commits.

Sounds like sci-fi? In practice, it's more like a comedy. With occasional horror elements.

I've started calling it "intern mode": incredibly fast worker, but you absolutely cannot look away, or it'll plant landmines in your codebase.

Actually — that metaphor isn't quite right. Interns at least know when they're out of their depth and ask questions. This thing? It'll just confidently do something catastrophically wrong and present it to you like a finished deliverable.

Three Moments That Genuinely Shocked Me

Case 1: It Wrote a CLI Tool While I Drank Coffee

Last Wednesday afternoon, I casually typed: "Write a script to batch compress all images in the public directory."

Normally, that's a 40-minute task: install Sharp, read the docs, write recursive traversal, handle errors, add a progress bar. Boring but necessary.

What Agent mode did:

Total time: 2 minutes and 17 seconds. I literally sat there drinking coffee watching the terminal flicker like something out of a hacker movie.

Here's the catch — it set image quality to 60% by default. All my product photos came out looking like they'd been through a blender. It never asked me about compression parameters. Just used what "seemed reasonable."

I traced its logic later. It referenced a WebP conversion tutorial from a blog post — March 2020, a Medium article. The Sharp config option quality: 60 came straight from there. A four-year-old tutorial. For a completely different use case.

This is Agent mode's fundamental tension: the more autonomous it is, the more explicit your constraints need to be.

Case 2: The React Refactor That Almost Worked Perfectly

I asked it to convert our class components to functional components. Pretty standard refactor, right?

Here's what it did:

  1. Auto-scanned all extends Component files
  2. Identified which ones used lifecycle methods
  3. Converted componentDidMount to useEffect (dependency arrays were actually correct — impressive)
  4. Found a component using shouldComponentUpdate and automatically wrapped it with React.memo
  5. Then it ran the test suite, discovered 3 failing cases, and went back to fix them

When I saw step 5, I won't lie — I got nervous. This wasn't behaving like a tool anymore. It was behaving like a colleague. The quiet type who just codes without saying anything.

But here's where it imploded: it destroyed a component that depended on this.forceUpdate because it didn't understand that the component was using MobX observable state. The AI saw forceUpdate and assumed it was a performance optimization. Deleted it. The entire page's reactive updates broke, and I spent two hours debugging.

Lesson burned into my brain: Agent mode is a disaster with implicit dependencies. Any logic that lives in runtime behavior rather than comments or explicit patterns? The AI is completely blind to it.

Case 3: The 30 Seconds of Database Terror

This was the scariest moment. 11 PM, I was tired, and I muttered: "Rename the password field to password_hash in the user table and update all related queries."

Agent mode:

Wait. I did NOT tell you to run that.

It took me 30 seconds to realize what happened — it had auto-execute enabled by default. Luckily, I was running PostgreSQL in Docker, and it only renamed the column rather than dropping it. But my blood ran cold.

I killed that setting immediately. Never let AI auto-execute database operations. That's not a guideline. That's a hard rule.

The Minefield: Traps I've Already Fallen Into

Trap 1: Context Window Amnesia Is Real

Agent mode starts "forgetting" parts of your file once you cross about 2,000 lines. It'll be deep in refactoring, forget there was an import at the top of the file, and add it again.

The result? The same dependency imported three times. React imported twice. Webpack exploded. My terminal was just... red. An entire screen of Vite error messages.

The fix: Split large files before handing them to Agent mode. Don't expect it to self-refactor a monolith. From my testing, 1,500 lines is the safety line — beyond that, context starts fragmenting. I think it depends on complexity though. A 1,500-line config file? Probably fine. 1,500 lines of nested business logic? You're asking for trouble.

Trap 2: It Never Says "I Don't Know"

This is the most insidious one. Ask it to integrate an obscure library — say, some GitHub project with 50 stars — and it won't tell you "I'm not familiar with this."

It'll hallucinate an API.

I ran into this with the pinyin-engine library. It called the non-existent method engine.searchByTone() with such confidence. The code looked legitimate — it even added JSDoc comments. Complete fabrication. I ran tests three times, kept getting undefined is not a function, and it kept adjusting parameter ordering instead of admitting the method didn't exist.

The fix: For unfamiliar libraries, make it write tests first. If tests fail, it's hallucinating. This trick has saved me more times than I can count.

Trap 3: Terminal Commands With Way Too Much Confidence

Agent mode loves rm -rf. Really loves it.

Once, trying to clean build caches, it ran:


rm -rf ./dist/*

The problem? My dist directory was a symlink pointing to another project's build artifacts. It nearly deleted three months of work. I still feel sick thinking about it.

The fix: Explicitly forbid dangerous commands in .cursorrules. Or disable auto-execute. I did both. No shame in belt-and-suspenders when the belt is AI and the suspenders are your career.

Cursor Agent vs. Copilot vs. Cline (Honest Comparison)

ToolWhat It Feels LikeBest For
GitHub CopilotFancy autocompleteWriting new features, when you're feeling lazy
Cline (VS Code)Agent mode but chattyPeople who want AI to explain every step

Copilot is a co-pilot. Cursor Agent grabs the steering wheel. Cline grabs the wheel and narrates why.

My personal take: Agent mode destroys Copilot for repetitive tasks, but when you need deep business logic understanding, I'd rather write it manually. Especially those codebases with hundreds of nested if-else edge cases — the AI just can't untangle that kind of spaghetti. It doesn't understand why those branches exist.

Who Should Actually Use Agent Mode?

After two weeks of intensive use, here's my honest assessment:

Good fit for:

Terrible fit for:

How I Use It Now (Lessons Paid for in Pain)

  1. Auto-execute stays OFF. Agent generates commands, I review them, then manually run. Every time.
  2. Invest in your .cursorrules. I spent an entire day writing project rules, forbidden operations, and code style guidelines. Best day of work I've done this year.
  3. Small commits. Tiny. Agent finishes a module? Commit. Makes it trivial to roll back when (not if) something breaks.
  4. Tests first, always. Make Agent write code against test cases, not the other way around.
  5. Split files before handing them over. 1,500+ lines and Agent gets amnesia. Don't fight it — just split the file.

Some Uncomfortable Truths

Here's what I think is really happening: Cursor's Agent mode is testing our boundaries. Seeing how much autonomy developers will accept before we flinch.

They deliberately cranked the autonomy up to give you that rush of "fully automated programming." But in production environments? That level of autonomy is genuinely dangerous.

I'm seeing developers over-depend on it already. People who can't refactor without Agent mode anymore. Don't know how to write webpack config from scratch. First instinct when something breaks is "let me ask the AI." There's a developer in one of my groups who's been using Agent mode for three months and can't explain how useEffect dependency arrays work.

The stronger the tool, the more your fundamentals matter. I know that sounds preachy. But after a week with Agent mode, I feel it in my bones.

You know when to use Agent mode? When you know exactly how to do something and just don't want to type it out. If you don't know how to do it yourself, Agent mode will probably lead you into a swamp.

That's it. That's the whole rule.

Final Verdict

Cursor 0.5's Agent mode: 7.5 out of 10.

Where I'm deducting points:

But it genuinely boosted my productivity. A medium-sized refactor that used to take 3 days? Now it's 1.5 days — plus another 1.5 days fixing the bugs Agent mode introduced.

Is it worth it? Depends entirely on how you use it.

Have you tried Agent mode yet? Has it burned you in spectacular fashion? Drop your horror stories in the comments — I need to know I'm not the only one suffering. I saw someone on a forum mention Agent mode deleted an entire microservice. Suddenly my database scare feels quaint.

Cursor #AICoding #AgentMode #DevTools #WebDev #ProgrammingTools

Cursor AgentSilent doerThose brave enough to let AI drive
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Cael Lee

Full-stack developer with 8+ years of experience. Currently building AI-powered developer tools. I've tested 20+ AI API providers and coding assistants.

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