Stack Overflow is remaking itself into an AI data provider (techcrunch.com)

At Microsoft Ignite, Stack Overflow unveiled "Stack Overflow Internal" and accompanying tooling to reposition itself from a public Q&A forum into an enterprise AI data provider. The product packages the familiar Q&A experience with enterprise security and admin controls, plus APIs and content-licensing deals that let labs and companies train models on Stack Overflow content. Leadership framed the move as meeting existing customer demand (many already use the API for training) and compared commercial arrangements to the Reddit licensing deals that have generated large revenues for that platform. Technically, the platform exports question–answer pairs enriched with structured metadata — author, timestamps, tags, coherence assessments and a computed reliability score — and supports the Model Context Protocol for feeding internal agents. Customers can supply custom tagging or use Stack Overflow’s dynamic tagging and a knowledge-graph layer to link concepts, which aims to improve retrieval and RAG grounding and reduce hallucinations. Stack Overflow won’t build agents itself, but it plans read-write agent support so agents can generate queries or surface knowledge gaps. For AI/ML teams this means easier, provenance-aware ingestion of developer knowledge for fine-tuning, retrieval, or context windows — and a new commercial source of labeled, community-vetted technical data that could materially affect model quality and trustworthiness.