Licensing is the quiet risk in AI-generated code. Not the dramatic kind — no data breach, no failed security audit. Just a legal exposure that compounds silently until someone's lawyer finds it in due diligence.
There are two distinct licensing risks in AI-generated code. The first is in the generated code itself — AI coding tools are trained on vast corpora that include GPL, AGPL, and other copyleft-licensed code. They may reproduce or closely derive from that code in their outputs. The second is in the dependency tree — the packages your AI-generated code installs. Both require auditing. Most founders are unaware of either.
The GPL (General Public Licence) and its variants — LGPL, AGPL — contain a 'copyleft' provision: if your product uses GPL-licensed code, your product may be required to be distributed under the GPL as well, making your source code available to everyone. For a closed-source commercial product, this is disqualifying. The AGPL extends this to software delivered over a network — meaning a single AGPL dependency in a SaaS product can require you to open-source your entire codebase.
Your AI-generated code installs packages. Those packages install packages. The result is a dependency tree that may contain dozens of third-party libraries, each under its own licence. MIT and Apache 2.0 are generally safe for commercial use. GPL and AGPL are not. BSD and LGPL require case-by-case assessment. Most AI-generated codebases we review contain at least one licence conflict — usually a transitive dependency that nobody explicitly chose.
A licensing audit has two components. First, a dependency tree scan using tools like licence-checker, FOSSA, or Snyk — which enumerate every package in your dependency tree and flag their licences. Second, a review of the AI-generated code itself for patterns that suggest reproduction of copyleft-licensed material. The first is largely automatable. The second requires engineering judgement. Both are part of our governance process.
Licence conflicts are almost always resolvable. A GPL dependency can usually be replaced with an MIT-licensed alternative. Code that reproduces copyleft material can be rewritten. The important thing is to find and resolve conflicts before they appear in an investor's legal review — where the cost is not just remediation, but the signal that you didn't know about risks in your own codebase.
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