Can a company license its technical documentation for AI training?
Yes, if the company owns the documents and can deal with the code, third-party licences and secrets mixed into them. Technical documentation covers design docs and RFCs, product and system specifications, API references, test plans and test reports, architecture decision records (ADRs), operational runbooks and the review comments on all of them. It records what your engineers decided and why, which the code alone does not show. Much of a company's data already lives in third-party software. Licensing it means re-licensing what already exists, and getting paid for it rather than giving it away for free.
Where does technical documentation usually live?
It lives next to the code and in your team's workspace: Markdown files and ADR folders in Git repositories, pull request descriptions and review threads, issue trackers, wikis such as Confluence, API portals and OpenAPI files, and test management tools. The platforms' terms generally leave it with you. GitHub's terms say you own the content you create or upload and that GitHub treats the contents of private repositories as confidential to you (GitHub Terms of Service, effective Apr 27 2026, D.3 and E.2), and Atlassian's customer agreement says the customer owns all intellectual property and other rights in its Customer Data (Atlassian Customer Agreement, s. 13). Licensing your documentation means re-licensing what your team already wrote, and for documents that already exist there is nothing new to collect.
Why do AI teams want technical documentation?
Because coding agents have to work from written intent: an issue, a spec or a design doc, and then the change that delivers it. SWE-bench, a benchmark for this kind of work, is built from 2,294 real GitHub issues and the pull requests that resolved them, across 12 Python repositories (SWE-bench, arXiv 2310.06770). Private documentation offers the same pairing from systems that have never been public: the requirement, the decision record, the review and the tests that proved the change.
Buyers are also building practice environments in which agents work through engineering tasks. MIT Technology Review reported that one such company buys data to build practice environments where clients' agents work on tasks such as debugging a complex IT architecture, and its head of that work said buyers value archives on estimates of how many useful tasks come from, say, 100,000 lines of code (MIT Technology Review, Oct 13 2026). Documentation is what turns a repository into tasks with a stated goal.
What makes technical documentation more valuable?
It is worth more when it connects to the work it describes. In rough order of impact:
- Links to code. Docs that point to the commits, pull requests and tests that implemented them.
- Decisions with alternatives. ADRs and design docs that record the options considered, the trade-offs and the consequences.
- Review history. Comment threads and revisions on specs and design docs, including the objections that changed them.
- Outcomes. Test results, incidents and post-mortems tied back to the design that caused or fixed them.
- Structure. Machine-readable specs such as OpenAPI files and schemas, consistent templates and dates.
- Scarcity. Business Insider reported lower demand for a codebase that a rival lab already has (Business Insider, Oct 13 2026). Documentation for systems that were never public is scarce by definition.
What is removed or de-identified before technical documentation is shared?
We de-identify the data before it goes to buyers, and you approve the scope before anything is shared. Engineering teams commonly leave out:
- credentials, API keys, tokens and private keys in examples, configs and runbooks;
- internal hostnames, network ranges and security architecture;
- open vulnerability reports and penetration-test findings;
- customer names in incident write-ups and escalations;
- deliverables built for a client under a custom-development contract;
- partner specifications received under an NDA, and export-controlled technical data.
What you control: you approve the scope before anything is shared, and raw data is deleted on a schedule agreed with you. Your company's name stays confidential until the agreement is fully signed, and a completely anonymous partnership is also possible. Your company can keep ownership of its data. This is agreed case by case.
What rights and licences does technical documentation need?
Authorship, third-party licences and confidentiality are the main gates, with export controls for some products. The ones that come up most:
- Who wrote it. Documentation employees write within the scope of their employment is a work made for hire in the US, owned by the employer unless both sides agreed otherwise in writing (17 U.S.C. §101; §201(b)); in the UK the employer is the first owner, subject to any agreement (Copyright, Designs and Patents Act 1988, s. 11). For contractors and outsourced teams, check who the contract assigns the work to.
- Open-source and third-party material. Documentation often embeds code samples and text from open-source projects, and their licences travel with them. The Apache License 2.0 requires redistributions to give recipients a copy of the licence and to keep copyright, patent, trademark and attribution notices (Apache License 2.0, s. 4); the GPL version 3 requires verbatim copies to keep its notices intact and to come with a copy of the licence (GNU GPL v3, s. 4). GitHub's terms make you responsible for complying with the licences of content you did not create (GitHub Terms of Service, D.3).
- Partners', clients' and your own confidential designs. US law names "programs, or codes" and "methods, techniques, processes" among the information that can be a trade secret if the owner takes reasonable measures to keep it secret and it has value from not being generally known, and disclosing one without consent, knowing it was acquired under a duty to keep it secret, is misappropriation (18 U.S.C. §1839). Leave out specs a partner or client shared in confidence, and license your own designs only under confidential terms.
- Export controls. Under the US Export Administration Regulations, releasing controlled technology or source code to a foreign person, even inside the US, is a deemed export (15 CFR 734.13). Documentation for controlled products, such as some encryption, needs a classification check first.
- People. Authors' names and emails sit in documents and their history. Pseudonymised data is still personal data under the UK GDPR; anonymous information is not (UK GDPR, recital 26).
This page is general information, not legal advice.
What is technical documentation worth?
There is no public price list for design docs or specs, so the nearest reference points are sales of code and licences of expert technical content. Each is dated and labelled by market side; none is a fearofgod.ai price.
| Reference point | Market side | Figure and source |
|---|---|---|
| A wound-down startup's codebase | Wind-down sale, reported Oct 2026 | roughly $25,000, netted by the founder (MIT Technology Review) |
| How buyers value code archives | Valuation method, reported Oct 2026 | estimates of how many useful tasks come from, say, 100,000 lines of code, so quotes vary widely (MIT Technology Review) |
| A scientific and technical publisher's AI revenue | Public filing, fiscal 2026 | $49 million, up 23%, described as an expanding recurring stream (Wiley earnings presentation, SEC 8-K, Jun 16 2026) |
The spread is wide because buyers price on how much useful work a body of documents and code can teach, and on whether anyone else already holds it. Partnerships typically range from $50K to $3M+.
How does licensing technical documentation work with fearofgod.ai?
You license documentation your engineers already wrote, securely, and earn additional, long-term revenue from it. It already sits in your repositories, tracker and wiki, so licensing it means re-licensing what exists.
The steps are the partnership form, a conversation, scope and terms, data preparation, then delivery and payment. You approve the scope before anything is shared, and anything you want left out, such as a client's project, a security design or a repository, stays out. fearofgod.ai de-identifies the data before it goes to buyers. Raw data is deleted according to a schedule agreed with the partner.
A rough first description is enough: which kinds of documents you hold, roughly how many, the years they cover, where they live, and whether they link to code, reviews, tests and incidents. If your teams also keep procedures and wikis, see SOPs and process documentation and internal documents and knowledge bases. Talk to our team when you are ready.
Selling technical documentation and specs to AI companies
A company that owns its technical documentation and specs can sell them to AI companies by licensing them with fearofgod.ai, securely and for long-term revenue. Partnerships typically range from $50K to $3M+. Partners can be paid more than once, through renewals and repeat licences.