Hiring a Cursor developer to finish or fix your app
Short answer: Cursor is different from Lovable, Bolt, Replit or Base44 in one important way: it is an AI code editor that runs on a developer's own computer, not a hosted app builder, so your code, your hosting and your database choices are yours from the start, not tied to a platform account. Its real limit shows up on larger codebases: Cursor's understanding becomes noticeably less reliable once a project passes a few hundred thousand lines, which matters if you are hiring someone to take over or extend an existing Cursor-built app.
You've been building in Cursor, or paid someone who did, and you want to know where it actually hits limits before you lean on it any further.
I'm Ranjit, and I run Blur Studio: 15+ years building software, 120 apps taken live, and clients who have gone on to raise $10M+. I build apps, business software, and AI agents and workflows, one project at a time. I also work differently from most of what else is out there, more on that further down this page.
What makes Cursor different
Cursor is an AI code editor you download to your own computer, built on top of a familiar code editor with an AI agent layered in. You open a folder, and Cursor's agent reads, writes and runs code inside it, the same way a human developer would work, just faster. That is a meaningfully different model from Lovable, Bolt, Replit or Base44: there is no hosted platform holding your code, your database or your hosting account. Whatever you use for those sits with you, or with whoever you choose, from day one. Cursor also offers a Privacy Mode that, when switched on, means your code is not used to train its models, worth turning on for any business application.
Where Cursor's context window hits real limits
Cursor indexes your codebase so its AI can reason across multiple files, and that indexing works well for projects up to roughly 200,000 lines of code. Past that, especially in very large repositories, indexing can start to miss files or make incorrect connections between them, and the AI's suggestions become noticeably less reliable. Very large individual files, over roughly a thousand lines, or code with deeply nested dependencies, can also fall outside what the AI reliably picks up, even on a smaller overall codebase.
There is also a session-level version of the same problem: a large, sprawling request across many files in one sitting tends to produce worse results than the same work broken into several smaller, focused sessions, because the AI's effective attention degrades as more gets loaded into one conversation.
Other real-world issues to know about
- Memory and performance. Continuous indexing of a large codebase, several extensions running at once, or a long-running session can make Cursor itself sluggish or consume more memory than expected.
- Model choice matters more than people expect. Different underlying AI models handle large codebases differently, and the right choice changes as models are updated, so this is worth revisiting periodically rather than setting once.
- Because Cursor sits on your own machine, hosting and the database are entirely your responsibility, which is more flexible but also means there is no platform safety net catching basic mistakes the way a hosted builder's defaults sometimes do.
What a developer taking over a Cursor-built app needs to check
- How large the codebase actually is, and whether it is past the point where Cursor's own indexing starts to lose reliability, which affects how safely further AI-assisted changes can be made.
- Whatever hosting and database choices were made, since there is no platform default to fall back on, these are specific to your project and need to be understood on their own terms.
- Code quality and structure, since large AI-assisted sessions can produce the same kind of duplicated, inconsistent code patterns seen in hosted AI builders, just without a platform wrapper around it.
- Whether Privacy Mode was switched on for any sensitive business logic or data handling.
How I work with Cursor-built apps
I start by understanding the actual size and structure of the codebase, since that determines how much I can safely lean on AI assistance versus where I need to work more carefully by hand. I review hosting, the database and any exposed credentials the same way I would for any app, regardless of which tool built it.
Once I've made the core solid, I also set up a safe environment where you can keep using Cursor, or whichever AI tool you prefer to make small changes yourself, a new page, a copy change, a tweak to a screen. I separate the parts that are safe to touch from the parts that control security, payments and data, so an AI-assisted change you make on a Tuesday afternoon cannot quietly break your database or expose a customer's data. You stay in control without needing to learn to code, and you come to me for anything bigger or anything that touches that protected core.
After launch, I can keep taking care of the app through the Care plan, or hand it back to you with clear notes on what I found and changed.
What this typically costs to fix or take over
As a broad reference: reviewing and fixing what exists starts at around $1,500, and finishing or rebuilding the parts that need it starts higher, always a fixed price agreed in writing before any work begins, never an hourly rate. My AI app development cost guide covers what actually moves that number.
Questions people ask
Is Cursor safer than a hosted AI app builder like Lovable or Bolt?
It is different, not automatically safer. Because Cursor does not bundle hosting, a database or logins for you, there is no platform default that might be misconfigured, but there is also no safety net: every choice about security and infrastructure is yours or your developer's to get right.
How big can my codebase get before Cursor struggles?
Cursor's indexing works well up to roughly 200,000 lines of code. Past that, especially in very large repositories, it can start missing files or making incorrect connections, which is worth knowing if your app has grown substantially.
Should I work in smaller sessions with Cursor?
Generally yes. A large, sprawling request across many files in one sitting tends to produce worse results than the same work broken into focused, smaller sessions.
Does Cursor store my code anywhere?
Cursor's Privacy Mode, when switched on, means your code is not used to train its models. It is worth confirming this is turned on for any business application, especially one handling sensitive data.
Can any developer pick up a Cursor-built app?
More easily than an app built entirely inside a hosted platform, since the code, hosting and database are already in your own accounts rather than tied to one vendor. That said, a developer still needs to review the code quality and structure before building further on it.
Roughly what does this cost?
As a broad reference, fixes and finishes start at around $1,500, and new builds start higher, always a fixed price agreed in writing before I start, never an hourly rate. My AI app cost guide explains what actually drives a quote up or down.
Is my app too small or too far along for this?
No. I take over apps at every stage, a rough first version, something with a handful of real users, or something that has quietly grown large. The first step is always the same review, whatever stage it is at.