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Vibe coding IP ownership is one of those questions founders ask only after the app works: the product is live, an investor or acquirer starts due diligence, and someone asks who actually owns the code. The honest answer has two layers, and neither is "the AI owns it" or "you automatically own everything." The first layer is whether the code can be copyrighted at all under current law. The second is what your AI tool's contract says about whatever rights exist. This article walks through both, using primary sources: the US Copyright Office's January 2025 report on copyrightability, a 2025 federal appeals court ruling, and the current product terms of GitHub Copilot and Cursor. Source Source
One scope note before the details: the legal references here are United States law. Other countries handle AI-assisted works differently, so treat this as a US framework and get local advice where you operate or sell.
When someone asks who owns vibe-coded software, they are usually mixing two separate questions. The first is exclusivity: can you stop anyone else from copying this code? That is a copyright question, and it depends on how much human authorship the code contains. The second is allocation: between you, your tool vendor, your contractors and your employer, who holds whatever rights do exist? That is a contract question, answered by terms of service and agreements you sign. Source
Keeping the two apart matters because a tool vendor can only give you what it has. Its terms can assign you every right the vendor might hold in your generated code, but no contract can create a copyright that the law does not recognize. Both halves need to go right for you to end up with enforceable ownership.
The US Copyright Office's Part 2 report on copyrightability, published in January 2025, is the clearest official statement of the current framework. Its conclusions, taken directly from the report, include: using AI tools to assist rather than stand in for human creativity does not affect the availability of copyright protection; copyright protects the original expression in a work created by a human author even if the work also includes AI-generated material; copyright does not extend to purely AI-generated material, or material where there is insufficient human control over the expressive elements; and whether human contributions are enough must be analyzed case by case. On the current generation of tools, the report adds that prompts alone do not provide sufficient control over the output. Source
The report also draws the line that matters most for vibe coders in a positive direction. Human authors, it says, are entitled to copyright in their own contributions that are perceptible in AI-generated outputs, and in their creative selection, coordination or arrangement of the material, and in creative modifications of the outputs. A founder who generates code and then edits, restructures, integrates and curates it is doing exactly the things the Copyright Office names as human authorship. Source
The courts have confirmed the outer boundary. In Thaler v. Perlmutter, decided on March 18, 2025, the US Court of Appeals for the D.C. Circuit held that the Copyright Act requires all eligible works to be authored by a human being, and affirmed the denial of a registration that had listed an AI system as the sole author. The court also rejected the argument that the machine's owner could claim the work as a work made for hire. Note what the case did not decide: it addressed a work claimed as entirely machine-authored, and it left open the much more common situation of humans using AI as a tool, which the Copyright Office framework covers. Source
Translated to a vibe-coded app: code that flowed from prompt to production untouched is the weakest candidate for protection, because the report says prompts alone are not enough control. The same codebase becomes a much stronger candidate as a whole when a human designed the architecture, chose and arranged the pieces, and modified the output, because those contributions are human authorship even where individual AI-generated fragments might not be protectable on their own. The analysis is case by case, so the practical variable you control is how much documented human creativity goes into the codebase. Source
The major coding tools have moved toward the same contractual position: the vendor keeps nothing. GitHub Copilot's Product Specific Terms state that GitHub does not own Suggestions and that you retain ownership of Your Code. The same section makes you responsible for your code, including any suggestions you include, and GitHub recommends maintaining policies designed to prevent using a suggestion in a way that may violate others' rights, including turning on Copilot's filtering features. Source
Cursor's Terms of Service go through an assignment instead. Section 5.3 says you retain all of your right, title and interest in your inputs, and that Anysphere hereby assigns to you all of its right, title and interest, if any, in and to any suggestions. The two words "if any" are doing the real work: the vendor hands over whatever it might have, without promising that what you received is protectable or free of third-party claims. Source
So the contract layer is mostly good news for founders, with three caveats. First, these are the vendors' current terms as published today; vendors revise terms, and the plan you pay for can have different language, so read the terms attached to your own subscription rather than relying on summaries, including this one. Second, an assignment of the vendor's rights says nothing about whether copyright subsists in the output, which takes you back to the human-authorship analysis above. Third, other people's rights are untouched by your vendor's assignment, which leads to the risk in the other direction.
Ownership is not only about keeping others from copying you. It is also about whether your code copies someone else. Generative models can produce output similar to code they were trained on, and the practical question for a founder is what happens if a shipped suggestion resembles a third party's licensed code closely enough to matter. GitHub's terms place responsibility for the code you ship on you and point to Copilot's duplication filter as a mitigation, which is a reasonable summary of the general posture across tools: the vendor provides the model, you own the shipping decision. Source
This is where vibe coding's speed cuts both ways. The same workflow that lets a founder skip reading what the AI wrote also skips the review step that would catch borrowed-looking code, license headers from an incompatible open-source license, or a function that matches a well-known repository. None of this requires avoiding AI tools; it argues for treating review, scanning and license checking as part of the workflow rather than as cleanup after launch. Source
The legal framework translates into habits. None of these are exotic, and together they put a vibe-coded product in a far better position for a security review, a funding round or an acquisition.
First, do human authorship on purpose and keep evidence of it. Architecture decisions, edited diffs, rewritten modules and curated structure are exactly the contributions the Copyright Office recognizes, so make them real and keep them visible in your git history and design notes. Second, read the current terms of every AI tool in your stack and keep a copy; the GitHub and Cursor positions above are favorable today, and your subscription's actual terms are what count. Third, enable duplication or reference filtering where your tool offers it, and review generated code with the same suspicion you would apply to code pasted from a forum. Source Source
Fourth, fix the contract layer around people, not just tools. Employment and contractor agreements should assign IP to the company explicitly, because a freelancer's AI-assisted code has the same authorship questions plus a default rule that contractors, unlike employees, often own what they create absent an agreement. Fifth, if you register a copyright, be accurate about AI involvement; the Copyright Office's framework means registration claims should reflect the human contributions rather than the whole output by default. For anything at the level of a funding round, an acquisition or a licensing dispute, this article is orientation, not legal advice, and a lawyer who works on software IP is worth the fee.
Vibe coding makes ownership something you build deliberately rather than something that happens automatically. The US framework protects human creativity perceptible in the output and rewards genuine direction, selection and modification; the tool contracts from GitHub and Cursor already give you the vendor's side of the bargain; and the real exposure sits in unreviewed output and missing paperwork with the humans involved. Teams that treat authorship and review as part of the build keep the speed while reducing the ownership risks this article covers.
This is also how we approach it in our own vibe coding for founders work: human architecture and review are built into the process, not bolted on, and the same discipline shows up in our guides to taking vibe-coded apps to production and auditing vibe-coded apps before launch. The tools will keep changing faster than the law, and the Copyright Office said existing law can handle the questions without new legislation, which means these fundamentals are likely to stay relevant.
Contractually, mostly yes under current terms. GitHub says it does not own suggestions and that you retain ownership of your code; Cursor's terms assign you whatever rights the vendor has in suggestions. But a vendor assignment cannot create copyright the law does not recognize, so the separate question of whether the output is protectable depends on human authorship, judged case by case.
Purely AI-generated material, without sufficient human control over the expressive elements, is not protected, and the Copyright Office says prompts alone do not provide that control. AI-assisted work is different: human contributions perceptible in the output, plus creative selection, arrangement and modification, can be protected. A 2025 D.C. Circuit ruling confirmed that a work listing an AI as sole author cannot be registered.
Ownership does not guarantee uniqueness. Copyright restricts copying of protected expression, not independent creation, so another developer, or the same AI tool serving another customer, can legitimately produce similar code. Protection means you can act against actual copying of the human-authored parts, not against similar code that exists elsewhere.
Explicit IP assignment to the company, a warranty that the contractor's use of AI tools complies with the tools' terms, and ideally a requirement to disclose significant AI-generated portions. Contractors can own what they create by default, so the assignment clause matters more than the AI clause.
Not directly. This article covers the US framework because that is where the Copyright Office report and the Thaler ruling sit. Other jurisdictions handle authorship and computer-generated works under their own statutes, so get local advice for the countries where you operate, hire or sell.
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