Who Can Turn a Cursor-Built App Into Production Software? Firms Compared (2026)

If you need help turning a Cursor-built app into production software, the kind of help you need depends on one thing: whether anyone has been reading the code Cursor wrote. There are four kinds of help: a firm that audits the app and then takes it over, a solo senior engineer who rescues it, a fixed-price audit shop, and an AI review tool your own developers can add today. This roundup compares six, says which buyer each fits, and gives a price only where the firm publishes one. Razoyo is listed first because this is Razoyo’s blog, so every other entry says where that firm beats us.

How we picked

1. The firm names Cursor on its own website. A service page or guide about apps built with Cursor, checked live in October 2026.
2. The mix covers the real choices. A US firm, a solo senior engineer, a large firm with an offshore team, two small audit shops, a review tool, and Razoyo.
3. You can see what you are buying before a call. A published method, timeline or price ranks above “contact us.”
4. There is a real buyer for whom this option beats the others. A roundup where one firm wins every row is an ad.

At a glance

Razoyo, if real customers will rely on your Cursor app and you want one team to audit it and then run it

Disclosure: this is Razoyo’s blog, and we are biased.

Razoyo is a software engineering firm in The Colony, Texas (Dallas-Fort Worth), serving clients US-wide since 2011. We take prototypes and constrained systems into production. We build with agentic AI ourselves, with senior engineers in the loop, so we do not start from distrust of AI-written code.

Our AI-generated code audit names Cursor alongside Lovable, Replit, Bolt.new, v0, Bubble and Windsurf, and says plainly that the tool is not the point: the same seven-dimension check applies whichever one built the app. Security and access, data integrity, architecture, test coverage, observability and alerting, a real deploy path, and documented ownership. It is sold as a Production Spec: $2,500 fixed, with audit findings, a risk ranking, a remediation plan and a straight harden-or-rebuild call. Most of what a good prototype captures, the workflow, the intent and the rough data model, is worth keeping, and the audit decides salvage versus rebuild on the evidence.

Spider, the hotel business intelligence platform now part of Lighthouse, is our production proof. It was not AI-built: it was an internal tool that outgrew its first version, and more than 10,000 people a day now use it. Spider ranked #1 of 74 for Business Intelligence at the 2025 HotelTechAwards. We have also delivered systems for several Fortune 500 companies, always under NDA, so we name none of them.

After the Spec, the published price list: an MVP from $5,000, a production build from $10,000, support from $1,500 a month. Before any work above the Spec, a business analyst puts a level of effort and a budget on each piece and gets your confirmation first. No approval, no work.

Ideal for

• Founders whose Cursor app is about to carry real customers, payments or data
• Teams that want the audit and the ongoing work from the same people
• Buyers who want a written harden-or-rebuild call before committing a build budget

Why they stand out

Razoyo publishes the seven things it checks, the price of checking them and what happens after. The audit costs the same whether the answer is three fixes or a rebuild, so there is no reason to sell you the bigger job.

Pros

• A fixed, published first step. $2,500 for the Production Spec, and it is yours to take to any team.
• Seven published dimensions. You know what the audit covers before you buy it.
• Every piece of work is approved first. Estimated and budgeted before anyone starts.
• You see changes before customers do. Every change lands on staging for your approval.
• Month to month after launch. Thirty days’ notice to stop a retainer.

Cons

• More than the cheapest audit here. Tepesoft and SpringCode start well below $2,500.
• Our public production proof was not AI-built. Spider shows we run systems at scale, not that we have rescued a Cursor app in public.
• Build prices are ranges until the Spec is done. “From $10,000” is a floor, not a quote.
• Not a penetration testing firm. If a customer asks for a pen test, you hire one as well.

Verdict: pick Razoyo when the Cursor app will carry real customers and you want one accountable team for the audit, the fixes and the years after.

Red Leg Dev, if you want one senior engineer to stabilize your Cursor codebase

Red Leg Dev is a veteran-owned software studio in Central Florida, based in Lakeland and remote everywhere else. Its founder, Matt Wagner, describes fifteen years of SaaS work, most of it as the one person on the engineering side, and the homepage promises software “by one senior engineer.”

Its Cursor page is the most specific diagnosis we found. It argues that Cursor did not write bad code, nobody reviewed the diffs: agent mode can rewrite dozens of files in one pass, large diffs get accepted under deadline pressure, and different prompts and models leave “three different ways of doing the same thing.” Its rescue reads the full commit and diff history, picks one pattern per concern and refactors toward it, rewrites tests that mock out what they should test, scrubs git history for committed secrets and rotates anything exposed, and pins and audits the dependencies. It also says a rewrite is rare for Cursor projects, because a human already reasoned through the logic.

Prices are published: the audit is a $1,500 flat fee with a two-week turnaround, followed by a written report and a fixed-price quote. Most rescues run $15,000 to $50,000 and take two to six weeks.

Ideal for

• Founders and small teams with one Cursor codebase and no senior engineer
• Codebases where the logic is sound and the problem is inconsistency
• Buyers who want to talk to the person writing the code

Why they stand out

It has a Cursor-specific failure list rather than a generic AI-code one, and publishes both the audit price and the typical rescue range.

Pros

• Cursor-specific method. Diff history, pattern drift, secrets in git history, dependency pinning.
• Published prices. $1,500 audit, rescues $15,000 to $50,000.
• Stabilize before rewrite. Says plainly that a Cursor rewrite is usually overkill.
• One senior engineer. No handoffs between people.

Cons

• One engineer. Ask what happens if that engineer is unavailable for two weeks.
• Rescues are not small. The typical range starts at $15,000.
• Florida-based. Fine for remote work; worth knowing if you want someone on site in Texas.

Verdict: pick Red Leg Dev when the Cursor codebase is sound underneath and you want one senior engineer to make it consistent.

TechAhead, if you are a larger company and need security review plus delivery capacity

TechAhead describes itself as an AI-first company across the USA, India and the UAE, with 16 years of digital engineering, ISO 42001 certification and partnerships with AWS and OpenAI. It builds AI-native apps and platforms and offers dedicated offshore teams.

It has published a detailed guide to hardening an application built with Cursor. The guide’s position is fair: “Using Cursor to build an application neither qualifies nor disqualifies it for production.” It recommends starting from a data-flow map rather than a blanket request to make the app secure, testing authorization and tenant isolation with direct requests, multiple accounts and negative cases, and reviewing secrets, integrations, deployment settings and failure paths. For an existing Cursor app it describes a scoped assessment first: a data-flow and threat map, validated findings, a ranked remediation plan and a recommendation to harden, extend or restructure, followed by an independent verification pass after any fixes. No price is published.

Ideal for

• Companies with a Cursor-built product, enterprise customers and security questionnaires
• Buyers who want security review, DevSecOps and product engineering under one roof
• Teams comfortable with an offshore delivery model

Why they stand out

Its guide treats a Cursor app as a security and operations question, not an AI question, and includes an independent verification pass after the fixes.

Pros

• A security practice. Application security and architecture review, plus DevSecOps.
• A scoped first deliverable. Threat map, ranked findings and a harden-or-restructure call.
• Capacity. Offshore teams for the build that follows.
• Verification after fixes. A second pass that checks the changed application.

Cons

• No published price. Ask what the scoped assessment costs before sharing the code.
• Time zones. Ask which hours your engineers in India overlap with yours.
• Large-company process. A two-person startup may be a small account.

Verdict: pick TechAhead when the Cursor app sits inside a larger company that needs security review and a bigger team.

SpringCode, if your app is small and you want a fixed quote within a day

SpringCode is founder-led: two senior engineers with 15+ years in security and production systems, who audit, fix and migrate apps built with Cursor, Lovable, Replit, Bolt and Claude Code. You work directly with the people writing your code, and it promises a fixed quote within 24 hours.

Its Cursor page lists the issues it looks for when auditing Cursor apps, drawn from security research and community forums: agents editing files outside the requested scope, git hooks running on untrusted repositories, and indirect prompt injection through connected tools. It also reviews MCP configurations as part of a Cursor codebase review, which few audit shops mention.

Prices are published: a security audit from $700, a full code audit from $800, bug fixes on a custom quote, and a prepaid retainer at $75 an hour (5 hours for $375, 10 for $750). It offers a free 15-minute call.

Ideal for

• Solo founders and small teams with a modest Cursor app
• Buyers who want a fixed quote quickly and a low first cost
• Teams worried about the security of their Cursor setup itself, not just the app

Why they stand out

It looks at the development environment as well as the code: MCP servers, git hooks and agent scope, which is where Cursor-specific risk sits.

Pros

• Low published prices. Audits from $700 and $800.
• Fast. A fixed quote within 24 hours.
• Cursor environment review. MCP configuration and agent behavior, not just code.
• Direct access. Two senior engineers, no account managers.

Cons

• Two engineers. Capacity for a large rescue or ongoing product work is limited.
• Location not stated. Ask where the team works and in which hours.
• “From” prices. Ask what moves a quote above the floor.

Verdict: pick SpringCode for a small Cursor app that needs a cheap, fast, fixed-price audit.

Tepesoft Systems, if you want a severity-ranked launch check in 48 hours

Tepesoft Systems is a small software studio behind long-running desktop software and focused web products. It says it mostly builds for US businesses while serving clients worldwide, and today sells AI workflow automation alongside production hardening.

Its Production Readiness Audit covers apps built with Lovable, Bolt, Replit, Cursor, v0 or AI-heavy freelancers, before customers see the product. It returns a launch-risk report ranked by severity, reviews auth, database, API, permission and deployment, and ends with a keep, fix, replace or rebuild recommendation, plus an optional rescue sprint for critical issues.

Its pricing page is specific: the AI-Built App Launch Safety Audit is $500, with a 48-hour screen and a 7-day fix plan. Fix sprints run $1,500 to $5,000 over 7 to 14 days, and ongoing stability care is $750 to $2,500 a month.

Ideal for

• Founders days away from a launch or an investor demo
• Buyers who want the cheapest credible first look
• Small apps where the likely fix fits in one sprint

Why they stand out

It is the fastest and cheapest published audit in this roundup, with the fix price published too.

Pros

• $500 audit. The lowest published first step here.
• 48 hours. A screen in two days and a fix plan in seven.
• Published fix pricing. $1,500 to $5,000 per sprint.
• A four-way recommendation. Keep, fix, replace or rebuild.

Cons

• A small studio. Limited capacity for a long engagement.
• Mixed focus. Much of its work is AI workflow automation, not app rescue.
• Location not stated. Ask where the engineers are.

Verdict: pick Tepesoft when you need a severity-ranked launch check this week for the lowest published price.

Cursor Bugbot, if your own developers will do the work and want every change reviewed

Bugbot is not a firm. It is Cursor’s own AI code review, which reviews pull requests on GitHub and flags logic bugs before they merge. Cursor says it optimizes for bugs that get fixed, improves as you define custom rules, and quotes customers who say it catches implementation errors that passed human code review.

On Cursor’s pricing page, AI code reviews via Bugbot are included from the Premium plan at $30 a month and on Teams from $30 per user a month. Cursor also supports project rules stored in .cursor/rules, version-controlled with your code, which is how a team stops the agent from inventing a new pattern in every session.

What it does not do: decide whether your architecture holds, test your access model across real accounts, or take responsibility for the app at 2 a.m.

Ideal for

• Teams that already have a developer and keep building in Cursor
• Founders who want the next hundred changes reviewed, not just the last thousand

Why they stand out

It reviews the same kind of large AI-authored diff that causes most Cursor problems, at the moment it is proposed.

Pros

• Included in paid plans. From $30 a month on Premium.
• Reviews every pull request. Catches bugs before merge, not after.
• Custom rules. Learns your standards as you define them.

Cons

• Not a firm. No one owns your production system.
• Forward-looking only. It reviews new changes; it does not audit the code already shipped.
• Needs a developer. Someone still has to act on what it flags.

Verdict: pick Bugbot when you have a developer and want every future Cursor change reviewed before it ships.

Why do Cursor-built apps break in production?

Mostly because large AI-written changes were accepted without anyone reading every line, not because Cursor writes worse code than other tools. Cursor is a code editor with an agent in it, so a developer is usually in the loop. The risk is process: agent mode can change many files at once, different sessions and models solve the same problem different ways, and the codebase drifts.

The production failures that follow are the ordinary ones, just more frequent:

Access control comes first for a reason. OWASP’s Top 10:2025 keeps broken access control at number one and reports that “100% of the applications tested were found to have some form of broken access control.” On secrets, GitHub’s guidance on removing sensitive data from a repository is clear about order: revoke or rotate the secret first, because rewriting history alone does not make a leaked key safe.

Should you harden a Cursor app or rebuild it?

Harden it, usually. Cursor apps are often better candidates for hardening than apps from one-prompt generators, because a person was choosing what to accept. Red Leg Dev says a rewrite is rare for Cursor projects, TechAhead says the tool “neither qualifies nor disqualifies” an app for production, and our own audit page says the workflow and data model a good prototype captures are usually worth keeping.

Rebuild the core when the access model is wrong at the root: one account type that can see everything, customer data with no owner on each record, or a data model that assumes one organization when you now sell to many. Our harden or rebuild page sets out how we make that call, and rewrite or refactor an inherited codebase covers the same decision for code someone else wrote. If the app is already live and falling over, read what to do when an AI-built app stops working first.

Can’t we just keep prompting Cursor until it is production ready?

You can keep using Cursor. You cannot prompt your way to a decision nobody has made. Cursor will write tests, fix a bug or add a permission check when asked, and it does that well. What it cannot do is decide what your access model should be, notice that three sessions built three error handlers, or tell you that the last release cannot be rolled back. Those are decisions, and someone has to own them.

The practical split: keep building in Cursor, add project rules so the agent follows one pattern per concern, add review on every change (Bugbot, or a human), and have a senior engineer own the architecture and the production checks below. That is how we work ourselves: AI under engineering discipline, with senior engineers in the loop.

Razoyo’s Seven-Point Cursor Production Check

Run this before you call anybody, including us. It is the seven dimensions from our AI-generated code audit, each with the test we would run first on a Cursor codebase. Each is pass or fail, and every fail is a line item on the quote you are about to receive.

1. Security and access. Log in as two test users, open a record as the first, and change its ID to one belonging to the second. Fail if anything comes back.
2. Data integrity. Try to save a value that should be invalid, such as a negative quantity or an empty email. Fail if the database accepts it.
3. Architecture. Ask how the app handles errors and calls outside services. Fail if the honest answer is “it depends which file,” and write the chosen pattern into .cursor/rules.
4. Test coverage. Break signup, payment or permissions on purpose. Fail if no test goes red.
5. Observability and alerting. Ask how you found out about the last outage. Fail if a customer told you.
6. A real deploy path. Time how long a one-word change takes to reach users, then how long to pull it back. Fail if rollback takes more than minutes.
7. Documented ownership. Ask who can explain the codebase if the person who built it leaves tomorrow, and where the accounts and keys live. Fail if the answer is one person’s laptop.

So who should you call?

Call the option that matches who owns your code today. Developers in-house who keep building: add Bugbot and project rules. A launch this week and a small budget: Tepesoft or SpringCode. A sound codebase that needs one senior engineer to make it consistent: Red Leg Dev. A larger company with enterprise customers and security questionnaires: TechAhead. A Cursor app real customers will depend on, where you want the audit and the years after from one team: we do that for a fixed $2,500 first, and if the answer is “this needs three fixes, not a rebuild,” that is what you will hear. Every step and price is on our process page, and what it costs to take an AI-built prototype to production breaks the numbers down. If you used Lovable, Replit or Bolt rather than Cursor, the firms that take a vibe-coded app to production covers those tools.

Key takeaways

• Cursor’s risk is process, not code quality. Large AI diffs accepted without review, and patterns that drift across sessions.
• Most Cursor apps are worth hardening. A person chose what to accept, so the logic is usually worth keeping.
• Access control fails first. OWASP found broken access control in every application it tested.
• Rotate secrets before you rewrite history. GitHub’s own guidance puts revoking the key first.
• Published prices range widely. From a $500 audit to $50,000 rescues; Razoyo’s Production Spec is $2,500 fixed.

Key terms glossary

• Cursor. An AI code editor whose agent can read and change many files in a codebase at once.
• Agent mode. Cursor’s mode in which the AI plans and makes multi-file changes rather than suggesting one line at a time.
• Diff. The set of line-by-line changes proposed to the code, which a developer accepts or rejects.
• Project rules. Instructions stored in .cursor/rules and version-controlled with the code, which guide the agent’s choices.
• Production hardening. The work that makes an app safe and reliable for real users: access control, secrets, tests, deploys and monitoring.
• Broken access control. A flaw that lets a user see or change data they should not reach.

FAQ

Who can turn a Cursor-built app into production software? Firms and services that name Cursor on their own sites include Razoyo, Red Leg Dev, TechAhead, SpringCode and Tepesoft Systems. If your own developers will do the work, Cursor’s Bugbot reviews every pull request. Match the option to your app’s size, your budget and whether you want someone to run the app afterward.

Why do apps built with Cursor break in production? Usually because large AI-written changes were accepted without anyone reading every line, and patterns drifted across sessions and models. The failures that follow are ordinary ones: broken access control, secrets in the repository, tests that test nothing and no rollback path.

Should I harden my Cursor app or rebuild it? Usually harden it. Because a person chose what to accept, the logic and data model are often worth keeping. Rebuild the core when the access model is wrong at the root, such as no owner on customer records or a data model built for one organization.

How much does it cost to make a Cursor app production ready? Published prices in this roundup run from a $500 audit at Tepesoft, through audits from $700 and $800 at SpringCode and $1,500 at Red Leg Dev, to Razoyo’s $2,500 fixed Production Spec. Red Leg Dev says most rescues run $15,000 to $50,000.

Can I keep using Cursor after the app is production ready? Yes. Add project rules in .cursor/rules so the agent follows one pattern per concern, review every change with Bugbot or a person, and have a senior engineer own the architecture, the deploy path and monitoring.

What should I check first in a Cursor-built app? Access control and secrets. Log in as two test users and try to open each other’s records. Then search the repository and its history for keys, and rotate anything you find before cleaning the history.

Is Cursor Bugbot enough to make my app production ready? No. Bugbot reviews new pull requests and catches bugs before they merge, which is valuable. It does not audit code already shipped, choose your access model or run the app in production. Someone still has to own those.

Talk it through

If your Cursor app is about to carry real customers and you are not sure whether it needs three fixes or a rebuild, that is a free 30 minute conversation. Run the Seven-Point Cursor Production Check first and bring your results. We will tell you which fails matter, whether a $500 audit elsewhere would answer your question, and what a Production Spec would cover. Schedule Free Consultation. If you do not need us yet, that is what you will hear.

Paul Byrne is President of Razoyo, a software engineering firm in The Colony, Texas taking prototypes and constrained systems into production since 2011.