AI coding agents are infiltrating the corporate world. Here are the top tools.

A recent Jellyfish survey of over 400 companies indicates a significant acceleration in the adoption of agentic AI tools within software development, with usage for independent coding tasks surging from 50% in December to 82% by May. AI-powered code reviews also saw substantial growth, from 39% in January to 76% in May. While fully agentic coding workflows, where AI writes and submits code, remain nascent at under 8% adoption, the rapid increase in AI's role in code generation and review signifies a notable shift towards greater automation and efficiency in the software engineering process.

Analysis

A recent survey of over 400 companies by Jellyfish reveals a significant acceleration in the adoption of agentic AI within software development between December 2024 and May 2025. The data indicates that usage of AI tools for independent tasks like code authoring and review surged from 50% to 82% of companies during this period. The growth was particularly pronounced in AI-powered code reviews, where adoption expanded from 39% in January to 76% in May. This rapid uptake points to a strong industry-wide push for greater efficiency and automation in the development lifecycle. However, the data also provides a crucial counterbalance: adoption of fully autonomous coding workflows, where AI writes and submits code without human intervention, remains nascent. While the number of companies piloting such systems quadrupled, it grew from less than 2% to just under 8%, indicating that while organizations are embracing AI for assistive and review functions, they remain cautious about ceding full control over critical development processes.

Key Decisions for Investors

• Investors should identify and evaluate companies that are leaders in the agentic AI coding space, such as the providers of tools like GitHub Copilot Reviewer, Cursor BugBot, and CodeRabbit, as they are positioned to directly benefit from this rapid adoption cycle.
• Consider the second-order effects on the broader technology sector, as widespread integration of these tools could lead to significant productivity gains and potential margin expansion for software-intensive companies.
• Monitor the adoption rate of fully agentic workflows, currently below 8%, as a key metric for the next wave of disruption; a meaningful increase in this figure would signal a deeper, more fundamental shift in the software development paradigm.