
Augment
The high-performance AI coding assistant designed for large-scale enterprise codebases.

The first AI code assistant for enterprise-grade development with total privacy control.

Codota, having fully merged into Tabnine, represents the 2026 pinnacle of context-aware code completion. The architecture utilizes a proprietary 'Hybrid LLM' approach, combining large-scale public models with small, highly-optimized local models that run directly on the developer's machine for sub-millisecond latency. Unlike competitors that strictly rely on cloud-based inference, Tabnine's 2026 market position is defined by its 'Zero Data Leakage' guarantee, allowing enterprises to index proprietary codebases without the data ever leaving their secure perimeter. The platform supports over 80 programming languages and integrates deeply with 15+ IDEs. Its technical advantage lies in its ability to perform Retrieval-Augmented Generation (RAG) at the local level, ensuring that suggestions are not just syntactically correct but also semantically aligned with the specific project's architectural patterns and internal APIs. This makes it a critical tool for highly regulated industries like FinTech and Defense where cloud-based code processing is often restricted.
Codota, having fully merged into Tabnine, represents the 2026 pinnacle of context-aware code completion.
Explore all tools that specialize in natural language-to-code. This domain focus ensures Tabnine (formerly Codota) delivers optimized results for this specific requirement.
Explore all tools that specialize in generate unit tests. This domain focus ensures Tabnine (formerly Codota) delivers optimized results for this specific requirement.
Explore all tools that specialize in refactor code. This domain focus ensures Tabnine (formerly Codota) delivers optimized results for this specific requirement.
Explore all tools that specialize in generate code snippets. This domain focus ensures Tabnine (formerly Codota) delivers optimized results for this specific requirement.
Allows organizations to fine-tune the LLM on their specific private repositories to understand unique internal frameworks.
Runs the inference engine locally on the developer's hardware using optimized weights.
Retrieval-Augmented Generation that scans the entire local workspace to provide contextually relevant answers in the chat.
Automatically suggests and generates unit tests as the code is written based on the logic branch.
Real-time detection of hardcoded API keys, passwords, and sensitive credentials within the IDE.
Learns the specific naming conventions and style guides of a team to ensure code consistency.
Option to host the AI backend within a client's Virtual Private Cloud.
Download the Tabnine/Codota extension from your IDE's marketplace (VS Code, IntelliJ, PyCharm, etc.).
Initialize the application and create a Tabnine account using corporate SSO or email.
Configure privacy settings to 'Local Mode' or 'Cloud Mode' based on project requirements.
Grant local indexing permissions to allow the AI to learn from your specific codebase structure.
Define the 'ignore' list via .tabnineignore to exclude sensitive files or keys from being processed.
Set up the Tabnine Chat interface for natural language queries and code explanations.
Connect your organization's Git repositories (GitHub/GitLab/Bitbucket) for team-wide code style alignment.
Configure the 'Enterprise Model' if utilizing custom-trained models based on proprietary libraries.
Run a baseline code scan to identify existing technical debt or security vulnerabilities.
Enable real-time telemetry to track productivity gains across the development team.
All Set
Ready to go
Verified feedback from other users.
"Users praise Tabnine/Codota for its high-speed completions and exceptional privacy features, though some find the free version too limited compared to Copilot."
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