{"id":37497,"date":"2026-08-07T10:42:34","date_gmt":"2026-08-07T10:42:34","guid":{"rendered":"https:\/\/itbusinesstoday.com\/?p=37497"},"modified":"2026-08-07T10:42:34","modified_gmt":"2026-08-07T10:42:34","slug":"tricentis-enhances-ai-engineering-with-tabnine","status":"publish","type":"post","link":"https:\/\/itbusinesstoday.com\/ja\/tech\/ai\/tricentis-enhances-ai-engineering-with-tabnine\/","title":{"rendered":"Tricentis\u3001Tabnine\u3092\u6d3b\u7528\u3057\u3066AI\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u3092\u5f37\u5316"},"content":{"rendered":"

Tricentis , a global leader in agent-based quality engineering , today announced the acquisition of Tabnine<\/a>, 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.<\/p>\n

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.<\/p>\n

\u3053\u3061\u3089\u3082\u304a\u8aad\u307f\u304f\u3060\u3055\u3044\uff1a Microsoft Copilot Cowork\u304cAI\u306b\u3088\u308b\u81ea\u52d5\u5316\u3092\u4e00\u65b0\u3057\u307e\u3059<\/a><\/h4>\n

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.<\/p>\n

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.<\/p>\n

\u51fa\u5178\uff1a PR\u30bf\u30a4\u30e0\u30ba<\/a><\/strong><\/p>","protected":false},"excerpt":{"rendered":"

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 […]<\/p>\n","protected":false},"author":4,"featured_media":37522,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"wprm-recipe-roundup-name":"","wprm-recipe-roundup-description":"","postBodyCss":"","postBodyMargin":[],"postBodyPadding":[],"postBodyBackground":{"backgroundType":"classic","gradient":""},"footnotes":""},"categories":[186,208,211,237,206,85],"tags":[533,14471,558,14469,14470],"ppma_author":[205],"class_list":["post-37497","post","type-post","status-publish","format-standard","has-post-thumbnail","category-ai","category-apac","category-japan","category-news","category-regional","category-tech","tag-ai-agent","tag-ai-engineering","tag-software-testing","tag-test-solutions","tag-tricentis"],"yoast_head":"\nTricentis 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