Cursor Didn't Write Bad Code. Nobody Reviewed the Diffs.
Cursor isn't a one-click app generator — it's a code editor with AI built into every keystroke and, in agent mode, the ability to rewrite dozens of files in a single pass. A developer is still driving. That's a very different risk profile than a tool that generates an entire app from one prompt.
The failure mode we see isn't "the AI wrote garbage." It's that large, AI-authored diffs get accepted under deadline pressure without anyone reading every changed line, and six months later the codebase has three different ways of doing the same thing — because three different prompts, sometimes across three different underlying models, each solved it their own way.
The fix usually isn't a rewrite. It's the code review discipline and architectural ownership that got skipped somewhere between "accept diff" and "ship it."
Here's what we'll do with your Cursor project:
- 01Read the actual diff history to understand what shipped versus what was intended
- 02Establish one canonical pattern per concern and refactor toward it
- 03Rewrite any tests that mock out the exact thing they're supposed to test
- 04Scrub git history for committed secrets and rotate anything exposed
- 05Pin and audit a dependency tree that's drifted release to release
- 06Put a senior engineer's judgment behind the architecture going forward
What Cursor Actually Is
Cursor is a fork of VS Code with AI completions and an agent mode that can read, write, and refactor across your entire repository from a chat prompt. A human still opens the editor, writes the prompts, and — in theory — reviews what comes back.
Because a developer is in the loop, Cursor projects don't usually have the single-blob-of-AI-code problem that full app generators produce. What they have instead is inconsistency: different sessions, different prompts, and different underlying models each leaving their own fingerprint on the codebase, with no one enforcing a single standard.
Where Cursor Apps Actually Break
Multi-hundred-line AI diffs accepted without review
Cursor's agent mode can rewrite dozens of files in one pass; teams under deadline pressure often accept the diff wholesale without reading every changed line, and by the time something breaks, nobody remembers why the code looks the way it does.
Pattern drift across a long chat history
Different prompts, sessions, and even different underlying models (as Cursor and its defaults change over time) each have their own coding style, so a codebase built over months often has two or three different ways of doing the same thing — separate HTTP client wrappers, separate error-handling conventions.
Tests that assert the mock instead of the behavior
When asked to "add tests," AI agents frequently write tests that mock out the exact thing they're supposed to be testing, so the suite runs green but proves nothing about whether the feature actually works.
Committed .env files from an accepted agent diff
Cursor's agent will read and write any file in the repo, including .env — an accepted diff that "just fixes the config" is a common way real credentials end up in git history.
Package versions drift because the agent picks what it remembers
Without someone pinning versions, agent-added dependencies default to whatever version the model recalls, which is often stale or has since been deprecated — and nobody notices until an install breaks.
No one owns the architecture
Because Cursor makes it easy for anyone on the team — or a solo non-technical founder — to ship working code, there's often no one accountable for whether the codebase is heading in a coherent direction.
What We Do in a Cursor Rescue
- 01Read the full commit and diff history to understand what actually shipped versus what was intended
- 02Establish one canonical pattern per concern — HTTP, error handling, state — and refactor toward it
- 03Rewrite tests that assert real behavior instead of mocked-out internals
- 04Scrub git history for committed secrets and rotate anything exposed
- 05Pin and audit the dependency tree
- 06Put a senior engineer's judgment behind the architecture going forward — ours or your own hire
Rewrite vs. Stabilize: Cursor
Stabilize if…
- The core business logic is sound and was reasoned through, even if styles vary
- The problem is consistency and process, not fundamentally broken architecture
- You want to keep the team's existing patterns, just unify them
Rewrite if…
- Rare for Cursor specifically — a rewrite is usually overkill when a human already reasoned through the logic
- The exception: agent mode was used with almost no review for an extended period, and secrets, dependencies, and architecture are all compromised at once
A full rewrite is rarely the right call for a Cursor-built codebase. The logic is usually reasoned about — it just needs one set of standards applied consistently, and someone accountable for enforcing them.
Executive Career Upgrades
Executive Career Upgrades brought in ongoing fractional CTO leadership instead of one-off project work — the same continuity that keeps a Cursor codebase from drifting between rescues.
Read the case study