Tricentis folds Tabnine's Enterprise Context Engine, a knowledge graph of code, docs, and infrastructure, into its AI quality engineering platform.
Tricentis, a vendor of enterprise software testing tools, has acquired Tabnine, a vendor of AI coding assistants, and is folding Tabnine's Enterprise Context Engine into its agentic quality engineering platform. The Tabnine team and the product are joining Tricentis, and the engine is already available, the companies said (ChannelLife).
The deal targets a specific problem in AI testing. Agents that write or check code in large organisations routinely miss downstream effects because they only see a slice of the system. An agent might approve a test that passes a single service but breaks authentication or billing, because it has no map of how those services connect. Tricentis frames the Enterprise Context Engine as that map: a knowledge graph built from code repositories, documentation, support tickets, and infrastructure metadata, shared across agents so they reason against the same picture of the software stack (Tabnine blog).
The engine can run on premises, in a private VPC, or air-gapped, an option aimed at regulated estates that cannot send code to public models (context.tabnine.com).
Tricentis and Tabnine also claim up to two-times higher AI accuracy, up to 80 per cent lower token consumption, and up to 50 per cent faster resolution of complex tasks, figures the companies supplied and which have not been independently verified (DevOpsDigest). Deal terms were not disclosed.