Jellyfish appoints Adam Ferrari as SVP of Engineering. Veteran engineering executive and startup advisor brings decades of experience scaling software companies including Endeca and Salsify BOSTON, May 14, 2026 - Jellyfish, the leading Software Engineering Intelligence and AI Impact Platform, announced the appointment of Adam Ferrari as Senior Vice President of Engineering. Drawing on a deep set of experiences leading world-class engineering teams, Ferrari will define Jellyfish's technology strategy and help customers navigate the evolving complexities of engineering productivity in the AI era as organizations seek to maximize their investments and drive measurable impact. Ferrari brings more than two decades of experience leading engineering teams and architecting platforms spanning distributed systems, developer infrastructure, search, data platforms, and enterprise SaaS. Ferrari helped scale Salsify to more than $150 million in ARR and a multi-product portfolio between 2015 and 2023, and led Endeca's technology strategy as CTO before its $1 billion acquisition by Oracle. Most recently, he served as a fractional CTO and advisor to SaaS companies, including Jellyfish. "Adam brings a perfect combination of deep technical expertise, operational leadership, and passion for engineering excellence," said Andrew Lau, CEO and co-founder of Jellyfish. "He has spent his career helping organizations scale thoughtfully while staying closely connected to the craft of building software. As AI continues to reshape software development, Adam's perspective will be key to helping Jellyfish continue innovating." "Engineering is entering one of the most transformative moments in the history of software," said Adam Ferrari, SVP of engineering at Jellyfish. "Organizations are moving quickly to adopt AI, but they also need visibility into how these technologies are impacting productivity, delivery, and business outcomes. Jellyfish is perfectly positioned to provide that clarity, and I'm excited to help scale during such an important moment for the industry." Ferrari's appointment is more timely than ever as enterprises need data to track AI adoption progress, evolve with innovations, and continue to deliver impact. The incentive to use AI coding tools is clear: over the last three months, companies in the top quartile of AI adoption have seen 2x the PR throughput of low adopters. Jellyfish AI Impact quantifies the value of AI-powered developer tools, enabling engineering leaders to measure their AI ROI, optimize their tooling investments, and build AI-enabled teams. Jellyfish helped found the Massachusetts AI Coalition. Ferrari is also a member of the VPE Forum, a community for Engineering VPs and CTOs at technology companies in Boston. About Jellyfish Jellyfish is the leading Software Engineering Intelligence Platform, helping 500+ companies including DraftKings, Keller Williams and Blue Yonder, leverage AI to transform how they build software. By turning fragmented data into context-rich guidance, Jellyfish enables better decision-making across planning, developer experience and delivery so R&D teams can deliver stronger business outcomes.

Jellyfish named a Leader in the inaugural 2026 gartner(r) Magic quadrant(tm) for Developer Productivity Insight Platforms. Krishna Kannan May 07, 2026 Recognized for Completeness of Vision and Ability to Execute Jellyfish is excited to share that Jellyfish has been recognized as a Leader in the 2026 Gartner Magic Quadrant for Developer Productivity Insight Platforms. Jellyfish believe this recognition arrives at a critical inflection point: the rise of Agentic AI. As an increasing share of code is written by autonomous agents and agents expand to other parts of the SDLC, the very definition of "productivity" is being rewritten. Jellyfish is uniquely engineered for this new reality, providing the intelligence R&D teams need to orchestrate a hybrid workforce of humans and AI agents. By surfacing deep insights into how these autonomous tools impact velocity and quality, Jellyfish enables R&D teams to become truly AI-native, turning the speed of autonomous agents into measurable strategic outcomes. About Gartner and the Magic Quadrant Gartner delivers actionable, objective insight to executives and their teams. Its expert guidance and tools enable faster, smarter decisions and stronger performance on an organization's mission-critical priorities. The Gartner Magic Quadrant evaluates vendors based on their Ability to Execute and Completeness of Vision. Jellyfish is honored to be included among the recognized vendors in this important report. Learn more about the Magic Quadrant. ** Gartner, Magic Quadrant for Developer Productivity Insight Platforms, By Frank O'Connor, Peter Hyde, Akis Sklavounakis, Akriti Kapoor, 5 May 2026. Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner's business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose. Krishna Kannan is Head of Product at Jellyfish, the leading Software Engineering Intelligence platform, where he drives product vision and strategy for over 500 customers. Previously, he held senior product leadership roles at Pluralsight and Smarterer, among others. Krishna resides in Greater Boston with his partner and two young children, learning as much from them as they do from him.

Introducing a smarter Jellyfish AI Assistant to turn engineering data into instant, actionable insights. Tricia Gregg Mar 24, 2026 Jellyfish today announced a major update to Jellyfish Assistant, an AI-powered conversational tool that acts as a personalized data analyst dramatically shortening the path from question to insight to action for engineering teams. With AI usage skyrocketing - 63% of companies now use AI tools for most coding according to Jellyfish data - engineering leaders need faster ways to understand what's actually happening across delivery, capacity, and productivity without spending hours digging through dashboards or stitching together reports. The real opportunity isn't simply adding AI to automate analysis. It's turning engineering intelligence into something leaders can act on immediately. With Jellyfish Assistant, engineering leaders get faster insights from their engineering data using natural language and receive contextual answers and guidance drawn from the full Jellyfish data model. This update is an important step toward Jellyfish's broader vision of a DevAI Intelligence partner. As capabilities expand in the future - from customizable agents to proactive alerts - the Jellyfish platform will increasingly surface the risks, opportunities, and decisions that matter most, helping engineering leaders and R&D teams stay ahead of issues and act with confidence. Meet your AI-powered natural language Assistant. Jellyfish Assistant is an AI-powered natural language interface that acts as a personalized data analyst and allows users to ask questions about their engineering organization and receive data-backed answers and action plans from the full suite of Jellyfish insights. Jellyfish Assistant interprets the question, queries the relevant datasets, and returns a synthesized answer with supporting context and relevant recommendations, transforming every insight into action. Jellyfish Assistant exceeded my expectations. When I asked for a team's average velocity, it didn't just give me a number, it provided key insights and actionable recommendations that were spot on. I've used its feedback in real sprints, and it's been genuinely useful, not just academic. - Joe Donovan, Senior Program Lead, Precisely Jellyfish Assistant helps Jellyfish customers: * Improve Predictability: Analyze metrics across multiple sprints and generate tailored recommendations. * Align Effort to Investment: Understand how engineering effort maps to business goals, including FTE allocation across initiatives. * Benchmark Performance: Compare delivery metrics across different teams, groups, or time periods. * Support Developer Growth: Identify individual developer trends or outliers to guide coaching and performance discussions. * De-risk Strategic Initiatives: Track the progress and surface potential bottlenecks of major releases. * Accelerate Delivery: Automatically spot trends and surface data-driven recommendations to streamline your engineering processes. Jellyfish is excited to bring Jellyfish Assistant to market to better surface insights that provide added visibility and efficiency to its customers. In the future, Jellyfish Assistant will expand with agentic capabilities that further automate reporting workflows and proactively alert users. To learn more about Jellyfish Assistant and bring actionable intelligence to your engineering organization, schedule a demo today. Tricia is a Senior Product Manager at Jellyfish.