Jellyfish Hits Incredible Milestones with 100 Million Pull Requests and 150 Trillion Tokens Processed

Jellyfish Reaches Groundbreaking Milestones

In a remarkable achievement for the software development industry, Jellyfish, a leading Software Engineering Intelligence and AI Impact Platform, has recently surpassed 100 million pull requests analyzed, representing contributions from more than 275,000 software engineers. This milestone solidifies Jellyfish's reputation as housing the largest dataset for production engineering in the industry.

On top of this, the platform has processed an astounding 150 trillion tokens and gained insights from over 90 million prompts. This colossal dataset offers unparalleled insights into the rapidly evolving landscape of engineering and AI, frequently referenced by industry analysts and journalists alike.

Organizations are increasingly leveraging Jellyfish to enhance their understanding of and investments in engineering and artificial intelligence. Their AI Engineering Trends feature provides comprehensive quantitative analyses of trends in AI transformation within software engineering. Meanwhile, Jellyfish AI Impact quantifies the real-world value of AI coding assistants and token expenditures, providing engineering leaders with the metrics to evaluate their AI return on investment (ROI) effectively. Major businesses, including Box and LastPass, utilize Jellyfish to monitor, measure, and optimize AI deployments in their engineering investments.

Andrew Lau, CEO and Co-founder of Jellyfish, spoke about the company's pivotal moment, stating, “AI has now completely transformed the software development life cycle. Our data delivers unmatched insights into optimal strategies for the new AI development lifecycle, and our recent milestones demonstrate the breadth and quality of that dataset. We will continue to innovate solutions with our customers and partners that allow R&D teams to reap the benefits of their AI investments.”

One intriguing trend highlighted in Jellyfish's recent AI Engineering Trends findings is the significant surge in the use of open-weight models, which doubled in just six weeks. These models—like Kimi, GLM, DeepSeek, and Qwen—are selected by a growing fraction of engineers each week, reflecting a notable trend primarily seen in organizations that are more advanced in their AI maturity.

Achievements and New Leadership

In addition to the milestones achieved in terms of data analytics, Jellyfish has also been recognized for its technical capabilities by achieving the AWS Generative AI Competency. This distinction showcases Jellyfish as a trusted AWS partner that has demonstrated the technical expertise required to enhance AI-driven development lifecycles for its customers.

Jellyfish facilitates critical advancements in services, tools, and infrastructure needed for effective deployment of generative AI technologies. By integrating with platforms like Kiro and leveraging visibility into Amazon Bedrock-powered development workflows, Jellyfish connects usage indicators from AI with crucial data from source control and work tracking, providing decision-makers the intelligence they require to scale investments effectively.

The company recently welcomed Julie Neumann as its new Chief Marketing Officer (CMO). With a strong background in leading high-growth companies and industry-relevant narratives, Neumann is poised to drive Jellyfish's market strategy further. Her history working with AI and developer tools makes her an ideal fit for guiding the next chapter in the company’s evolution.

“The pace of change in software engineering is unprecedented, and AI is reshaping established workflows while offering fresh avenues for innovation,” Neumann stated. “Jellyfish provides engineering leaders with the insights needed to drive measurable gains in productivity and business performance. We are at a significant juncture for the industry.”

As part of its commitment to furthering AI's integration in engineering, Jellyfish is inviting teams to register for AI Impact Week, a virtual three-day event from October 6-8, highlighting the role of AI in driving engineering results.

About Jellyfish

Jellyfish is a premier Software Engineering Intelligence Platform, empowering over 1,000 companies such as DraftKings and Keller Williams to revolutionize their software development processes with AI. By transforming fragmented data into actionable insights, Jellyfish enables superior decision-making in planning, developer experience, and project delivery, allowing R&D teams to achieve improved business outcomes.