Jellyfish Explores the Influence of AI on Four Leading Coding Tools

Jellyfish, a software engineering intelligence platform, has expanded its integrations to support additional AI coding tools, reflecting a shift towards multitool usage among engineering teams. The platform enables leaders to align engineering efforts with business objectives by providing insights through analysis of engineering signals and business data. Recently, Jellyfish integrated Cursor, Google Gemini Code Assist, and Sourcegraph into its AI Impact platform, enhancing its existing GitHub Copilot integration. This change comes as many organizations find value in using multiple AI tools for various tasks, with Jellyfish aiming to track the impact of these tools on productivity. Their analysis shows productivity gains, such as a 25% acceleration in coding time. However, the report indicates a disconnect between perceptions of AI adoption among executives and engineers. Jellyfish’s focus is on actionable insights from the data rather than merely metrics, positioning itself as vital in managing the evolving landscape of AI coding assistance.

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