Tabnine integrates RAG for contextual code generation.

Tabnine, the Tel Aviv-based AI coding platform company, has announced significant enhancements to its coding assistant. These enhancements include the integration of retrieval augmented generation (RAG) techniques, which improve the platform’s ability to provide finely-tuned suggestions by drawing on specific code and engineering patterns within a team’s codebase or integrated development environment. RAG, commonly used in enterprise applications to reduce hallucinations generated by large language models, injects context and factual information into prompts, ensuring grounded responses.

With over a million users across numerous organizations, Tabnine has established itself as an early innovator in generative AI for code. It enhances developer productivity by automating repetitive tasks and offering optimized code suggestions, documentation, and tests. Compatible with all major IDEs and supporting popular programming languages, libraries, and frameworks, Tabnine prioritizes privacy and security, allowing deployment in various environments, including SaaS, VPC, and on-premises, with enterprise-grade security features.

The latest updates to Tabnine’s platform focus on increasing contextual awareness, allowing it to assimilate an organization’s unique code, explanations, and documentation. This results in highly personalized code recommendations aligned closely with the engineering team’s practices and preferences. The improvements extend beyond code generation; Tabnine Chat, a feature facilitating natural language interactions with large language models, has reached general availability, broadening Tabnine’s capabilities to support software development activities like learning, research, test generation, code maintenance, bug fixing, and documentation generation.

In addressing privacy and security concerns, Tabnine ensures the confidentiality of proprietary code. It does not store or share any company’s code and is trained solely on open-source code with permissive licenses. For SaaS users, Tabnine provides advanced encryption and a strict policy of zero data retention, alleviating concerns about codebase privacy and the origins of training data.

Tabnine’s strategic partnership with DigitalOcean aims to make generative AI more accessible to developers, particularly startups and small to medium-sized enterprises, empowering them to expedite and streamline the software development lifecycle while maintaining high standards of security and compliance.

Recent achievements include the successful closure of a $25 million Series B funding round, reflecting strong investor confidence in Tabnine’s vision and technology. The funding will expand Tabnine’s generative coding capabilities and bolster its sales and global support teams. With a user base of over a million developers and 10,000 customers, Tabnine has made a significant impact on the software development industry, positioning itself as a formidable competitor with a bright future for further growth and innovation.

Tabnine’s commitment to improving the software development process with innovative, personalized, and secure AI-powered tools is evident in its recent announcements. The company continues to push the boundaries of coding assistance, setting a new standard for efficiency and quality in software development.