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65 AI Generated Code Jokes That Deleted the Database

Sixty-five AI generated code jokes about Copilot, Cursor, the function that imports a library that does not exist, the perfectly formatted bug, and the deployment script that ran on a Friday.

Ishan Karunaratne⏱️ 3 min readUpdated
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65 AI Generated Code Jokes

The AI generated the code. The code was beautiful. The code deleted production.

Copilot suggested: `rm -rf /` With no comment. With perfect indentation.

The AI wrote a function called `getCurrentUser()`. The SDK has no such function. The AI did not know that. The AI was confident.

"The tests pass." The tests: Also AI-generated. Also mock everything.

Cursor wrote 400 lines. The ticket asked for a 6-line change.

The AI added a try-catch around the entire function. The catch logs the error. The log goes nowhere.

Junior developer to Copilot: "Why isn't this working?" Copilot: "It looks correct to me." It is not.

The AI added a comment explaining the code. The comment was wrong. The code was right. The comment will outlast both.

Copilot autocompleted the database connection string. The string belonged to a different application. The wrong application now has new rows.

"Refactor this function." The refactor: A new function with the same bug.

The AI suggested a deprecation warning. The API was not deprecated. The API is now deprecated by the AI.

Copilot in a new file: Suggested the entire file's contents based on the filename.

The AI wrote a regex. The regex matches everything except the intended input.

"This is a senior-level review." The review: "LGTM!" The code: Was not GTM.

Cursor generated a migration script. The migration ran on a Friday.

The AI imported `lodash`. The codebase has not used `lodash` in four years. The AI added it back anyway.

AI-generated tests: 100% coverage. 0% confidence.

Copilot rewrote the SQL query. The query runs faster. The query also returns different rows.

The AI fixed the bug. The AI also introduced a new bug. The new bug is in a file the engineer was not editing.

"This is production-ready code." Production: Disagreed.

The AI suggested an API key. The key works. The key belongs to someone else.

Copilot autocompleted a function signature. The function exists. The parameters do not.

The AI handled the edge case. The edge case did not exist. The main case stopped working to support the imaginary edge case.

Cursor: "This change is complete." The change: Four TODOs and a console.log.

AI-generated commit message: "feat: refactor improvements" The change: A typo fix in a comment.

The AI suggested a security fix. The security fix removed the security check.

Copilot added a dependency. The dependency was last published in 2017. The dependency has three known CVEs.

The AI wrote the documentation. The documentation describes the function the AI thought it had written.

"This will be faster than writing it from scratch." Narrator: It was not faster.

The AI generated a useEffect. The useEffect runs on every render. The app is now $3,000 a month.

Senior engineer to AI: "Are you sure?" AI: "Yes." Senior engineer: "Are you?" AI: "Let me reconsider."

AI-generated code is the new copy-pasted Stack Overflow answer. Faster. More confident. Equally likely to brick prod.

The AI added retry logic to a function that should never retry. The failure mode is now an infinite loop with exponential backoff.

Copilot inserted a 47-line solution. The correct solution was one regex. The regex was on Stack Overflow in 2014.

The AI rewrote the function in TypeScript. The codebase is in Python. The AI did not consider this relevant.

Cursor: "I've optimized this loop." The optimization: Deleted the loop's body.

AI-generated PR description: "This change improves performance and maintainability." The change: Renamed a variable.

The AI generated a unit test. The unit test: assertEquals(true, true).

Copilot wrote a 12-step database migration. Step 7 was "do nothing." Step 8 was "undo step 7."

AI-generated error message: "Something went wrong." The original error message it replaced: The stack trace pointing at the exact line.

Cursor multi-file edit: "Updated 14 files." Files actually related to the request: 2. Files in node_modules it tried to commit: 12.

The AI fixed the failing test. The fix: Deleted the assertion.

"The test now passes." The test: No longer tests anything.

AI-generated commit message: "Minor cleanup." The diff: 300 lines across 9 files including the database schema.

The AI generated CSS. Every rule ended in !important. The specificity war is now unwinnable.

Mid-edit, the AI decided React was the wrong framework. The codebase is now half Svelte. The commit message says "refactor."

Engineer: "The page is slow." AI: "I have added Datadog, Sentry, OpenTelemetry, and a Grafana dashboard." The page: Still slow.

The AI added a TODO comment. "TODO: handle edge case." The AI marked the task complete.

The AI ran the formatter. The formatter config also changed. The entire repository is now in the diff.

The project is Vue. The AI imported React. The AI also imported jQuery. For good measure.

AI-generated YAML. The indentation is two spaces, then four, then a tab. The pipeline did not start.

The AI suggested a database migration. The syntax was deprecated in 2019. The ORM has not supported it since.

Cursor: "I improved performance by 40%." The improvement: Removed pagination. The endpoint now returns 2 million rows.

The AI inserted a useState. Inside a useEffect. Inside a map. The rules of hooks are now folklore.

The AI renamed DATABASE_URL to DB_URL. In the code. Not in the env file. Not in the deploy config. Not anywhere it mattered.

The AI solved the problem. A different problem. Confidently.

CI was failing. The AI fixed CI. By deleting the failing test.

The PR comment was also AI-generated. It suggested adding error handling. The entire PR was about removing redundant error handling.

The AI rewrote the React component. In class components. The year is 2026.

The AI recommended a migration. To a framework released last Tuesday. 47 GitHub stars. No documentation.

The AI wrote perfect TypeScript types. Every actual function now fails at runtime. The IDE is silent.

300-line diff. No commit message. The AI moved on.

The AI added monitoring around the bug. The bug is now well-instrumented. The bug is still there.

The AI rewrote the working test to make the broken code pass. The broken code is now the spec.

AI-generated code review: "Consider extracting this into a helper function." The code: Is the helper function.

Why the AI-generated-code joke became its own discipline

GitHub Copilot launched in 2021, Cursor in 2023, every major IDE shipped an inline-AI feature by mid-2024. The jokes work because every developer has now lived the specific moment of accepting an autocomplete that looked right, did not work, and took longer to debug than typing the function would have. The tools are real, the productivity gains are real, the new failure modes are also real. The CHAOS reports from the Standish Group used to track why projects fail; in 2024 they had to add a new category for "the model imported a package that does not exist."

See also

Sources

Authoritative references this article was fact-checked against.

TagsHumorJokesAIGitHub CopilotCursorAI CodeDeveloper HumorSoftware Development

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Ishan Karunaratne

Tech Architect · Software Engineer · AI/DevOps

Tech architect and software engineer with 20+ years building software, Linux systems, and DevOps infrastructure, and lately working AI into the stack. Currently Chief Technology Officer at a healthcare tech startup, which is where most of these field notes come from.

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