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Jellyfish Surpasses 100 Million Pull Requests, 90 Million Prompts, and 150 Trillion Tokens Analyzed From Over 275,000 Software Engineers

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BOX Box is mentioned as a customer of Jellyfish, relying on their platform to observe, measure, and optimize AI use in their engineering organization. This indicates a neutral stance as it highlights their adoption of a tool rather than their own performance. AMZN Amazon Web Services (AWS) is mentioned as Jellyfish has achieved the AWS Generative AI Competency. Jellyfish also integrates with Amazon Bedrock. This indicates a partnership and reliance on AWS services, but no direct sentiment about Amazon's stock performance.

Engineering intelligence platform achieves AWS Generative AI Competency and appoints Julie Neumann as CMO as companies seek increased ROI on AI engineering spend

BOSTON, Sept. 24, 2026 /PRNewswire/ -- Jellyfish, the leading Software Engineering Intelligence and AI Impact Platform, announced the platform has surpassed 100 million pull requests analyzed from more than 275,000 software engineers, the industry's largest production engineering dataset. The company also reached major milestones in AI engineering datapoints, with insight from more than 90 million prompts and 150 trillion tokens to date. Jellyfish data provides the most complete picture of the rapidly changing engineering industry and is regularly cited by industry analysts and journalists.

Organizations use Jellyfish to understand and maximize the value of their engineering and AI investments. Jellyfish AI Engineering Trends offers the most comprehensive quantitative analysis of AI transformation in software engineering, while Jellyfish AI Impact quantifies the value of AI coding assistants and token spend, enabling engineering leaders to measure their AI ROI and successfully scale agentic teams. Businesses like Box and LastPass rely on Jellyfish to observe, measure and optimize AI use in their engineering organization.

"AI has now completely transformed the software development life cycle," said Andrew Lau, CEO and co-founder of Jellyfish. "Our data delivers unmatched insights into the optima strategies for the new AI development lifecycle, and our recent milestones demonstrate the breadth and quality of that data set. We will continue to innovate solutions with our customer and partners that allow R&D teams to reap the benefits of their AI investments."

Jellyfish's most recent release of AI Engineering Trends highlighted the rapid growth in open weight model usage, which doubled over a six-week period. Jellyfish measures open weight model usage as the fraction of engineers who selected an open-weight model (e.g. Kimi, GLM, DeepSeek, Qwen) in a given week, alongside which model families lead among the companies using them. Open-weight model usage remains concentrated in the most AI-mature companies.

Jellyfish Achieves the AWS Generative AI Competency

In addition to these milestones, the company has achieved the AWS Generative AI Competency. This specialization recognizes Jellyfish as an AWS Partner that has demonstrated technical proficiency and proven customer success in understanding and accelerating the AI-driven development lifecycle.

Jellyfish helps customers drive the advancement of services, tools, and infrastructure pivotal for implementing generative AI technologies. Through its integration with Kiro and visibility into Amazon Bedrock powered development workflows, Jellyfish connects AI usage signals with source control, work tracking, and delivery data. These deep insights help leaders understand where AI is being adopted, how it is influencing engineering outcomes, and where to scale investment.

Jellyfish fully runs on AWS and is available in AWS Marketplace, giving customers a streamlined path to procurement and committed spend utilization.

Julie Neumann Appointed to Lead Next Stage of Growth

Jellyfish also announced the appointment of Julie Neumann as Chief Market Officer. She will define the market strategy, lead the marketing organization, and drive the next evolution in software engineering intelligence as technology leaders push to turn AI investments into measurable business impact.

Most recently, Neumann served as CMO at Honeycomb, where she repositioned the company for the AI era while accelerating enterprise growth and global expansion. She previously led go-to-market teams at high-growth innovators including Sinch, Testlio, and Snow Software. A former journalist with deep experience across AI and developer tools, Neumann has built a career translating complex engineering realities into narratives that land with technical practitioners and enterprise executives.

"Our market is at an inflection point, and Julie is the exact leader Jellyfish needs for this moment," said Lau. "She has superpowers in defining categories, accelerating growth, and leading through transformation. She instinctively understands engineering and technical audiences at a depth few marketers do, and as Jellyfish continues to deliver innovation in an AI-first world, her experience will help drive our next phase of growth."

"The pace of change in software engineering is unprecedented, with AI upending established workflows and creating new opportunities for innovation," said Neumann. "I've seen firsthand what happens when organizations invest heavily in AI tooling without the visibility to know what's actually working and how to effectively scale. Jellyfish gives engineering leaders those insights, empowering them to achieve measurable gains in productivity and business performance. It's a pivotal moment for the industry, and I'm thrilled to be here for it."

Register for AI Impact Week: a 3-day virtual event for engineering teams proving AI's impact on October 6-8 at 12pm ET.

About Jellyfish

Jellyfish is the leading Software Engineering Intelligence Platform, helping over 1,000 companies including DraftKings, Keller Williams and Blue Yonder, transform how they build software with AI. By turning fragmented data into context-rich guidance, Jellyfish enables better decision making across planning, developer experience and delivery so R&D teams can drive stronger business outcomes.

SOURCE Jellyfish