"With Tabnine Agentic, introduced November 5, developers get autonomous coding partners that complete workflows, not just code suggestions or completions, all aligned with an organization's standards and security policies, Tabnine said. Powered by the Tabnine Enterprise Context Engine, Tabnine's "org-native" agents understand the users' repositories, tools, and policies and use these artifacts to plan, execute, and validate multi-step development tasks, Tabnine said. Agent tasks include refactoring, debugging, and documentation."
"The engine incorporates coding standards, source and log files, and ticketing systems. Tabnine agents execute complete coding workflows, offering security and context, according to Tabnine. Tabnine Agents can use external systems and tools to adapt to new codebases and polices without retraining or redeployment. The engine combines vector, graph, and agentic retrieval techniques to interpret relationships across codebases, tickets, and tools, enabling Tabnine's org-native agents to reason through multi-step workflows, the company said."
Tabnine launched the Tabnine Agentic Platform on November 5 to provide AI-assisted software development with autonomous coding agents. The platform delivers org-native agents that execute complete workflows rather than only offering code suggestions or completions while aligning with organizational standards and security policies. The Tabnine Enterprise Context Engine enables agents to understand repositories, tools, policies, coding standards, source and log files, and ticketing systems to plan, execute, and validate multi-step tasks such as refactoring, debugging, and documentation. Agents access external systems and adapt to new codebases and policies without retraining, using vector, graph, and agentic retrieval for cross-artifact reasoning.
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