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Tricentis , a global leader in agent-based quality engineering , today announced the acquisition of Tabnine, a provider of safety- and context-focused enterprise AI coding platforms . Tricentis will integrate Tabnine’s Enterprise Context Engine technology into its agent-based quality engineering platform, further enhancing the capabilities of agent-based AI for testing in large-scale enterprise environments.
Tabnine has been providing technology that enables the reliable, secure, and effective use of AI in complex enterprise environments. Its Enterprise Context Engine goes beyond traditional similarity-based search-augmented generation (RAG) to continuously build and update a structured knowledge graph across an organization’s systems. This agent-based intelligence layer can extract entities, interrelationships, dependencies, and architectural patterns from repositories, documents, tickets, APIs, infrastructure metadata, and more.
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AI agents cannot reliably test, validate, or make appropriate decisions about software they do not fully understand. Without a deep context of the enterprise’s overall software assets, autonomous agents may make incorrect judgments, create risks, and generate a false sense of security regarding release quality.
In enterprise environments, numerous systems, applications, and dependencies are intricately intertwined, making it difficult for traditional AI-powered approaches to accurately model the overall picture. This acquisition integrates Tabnine’s Enterprise Context Engine into Tricentis’s agent-based quality engineering platform, enabling agent-based AI for quality and testing to gain a deeper understanding of the entire enterprise system, leading to more accurate decision-making, earlier risk detection, and safer, faster software delivery.
出典： PRタイムズ
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