Tabnine Wins Best Presentation for AI Coding Assistant with Customizable Coaching Feature

Tabnine, a Tel Aviv-based company, won the “Best Presentation” award at VentureBeat’s Transform Innovation Showcase for its AI-powered coding assistant that simplifies software development.

Key announcement: Coaching feature for customizable code standards: At the showcase, Tabnine VP Brandon Jung unveiled “Coaching,” a new capability allowing companies to enforce their specific coding rules and guidelines within the IDE:

• Coaching enables customers to program custom rules to ensure consistent, secure code across their organization, which is critical for industries like banking, insurance, and chip manufacturing.
• It can catch deviations at the pull request stage and automatically adjust code to match the defined standards.

Company overview and recent updates: Tabnine offers an AI pair programming tool that integrates with IDEs to provide intelligent code suggestions tailored to each company’s context:

• The company launched an updated API in June 2022 and introduced retrieval augmented generation (RAG) techniques in February 2024 for more contextual code suggestions.
• In April, Tabnine added the ability for users to select from a catalog of underlying large language models (LLMs) to power its chat tool, allowing engineering teams to choose the most suitable model for their needs.

Funding and competition: Tabnine has raised $57.1 million to date, with $25 million from a Series B round in November 2023:

• The company has 85 employees and competes with Microsoft’s GitHub Copilot, Google Gemini Code Assist, and Coedium.
• Jung noted that winning the award confirms Tabnine’s differentiated and scalable value proposition, which is crucial when competing against tech giants like Microsoft.

Broader implications: Tabnine’s success at the Innovation Showcase highlights the growing importance of AI-assisted coding tools in accelerating software development while maintaining code quality and consistency. The customizable Coaching feature addresses key concerns around trust and control, making the technology more adaptable to the specific needs of various industries and organizations. As AI continues to transform the programming landscape, companies like Tabnine are well-positioned to help developers harness the power of AI while adhering to their unique coding standards and guidelines.