In just the last six months AI has fundamentally changed how software gets built. In my conversations with engineers and leaders, I hear a clear need to understand how they can transform their organization to best take advantage of the tools of today and those of the future. To do this you need to know where AI is being used, what it costs, and what value it creates.
At Jellyfish, our focus is simple: be your partner through your agentic transformation.
To do this, our roadmap is centered on four areas:
- End-to-end visibility: See how work moves across AI-assisted software delivery, including usage, flow, and bottlenecks.
- AI cost and efficiency: Connect token usage to actual engineering work, compare models, and understand where spend is creating value.
- Broader builder coverage: Extend visibility beyond engineers to PM, design, and other technical teams using AI to build software.
- Flexible access: Bring Jellyfish data into the environments where teams already work through headless and MCP-based experiences.
In case you’ve missed it, we already have a number of key components live today and coming soon:
- Token analytics: token spend by individual, team, repo and more, tied to your work
- Model efficiency analysis: Comparisons of model performance across your work
- Workflow telemetry: Usage and execution signals across supported AI-assisted workflows
- Bottleneck and quality analysis: Pinpoint exactly where work stalls in your new AI-SDLC
- Builder-level Insights: Automatically pushing token efficiency, model selection, and work unit data directly to builders in real time (in their IDE or CLI) to prevent cognitive overload from constant dashboard checking.
And, all of these capabilities are supported by the Jellyfish Assistant, our in-app AI concierge which can deliver insights, answer questions, configure dashboards, and set up alerts.
As always, our roadmap will continue to evolve with customer feedback and we will remain clear about what is available now, what is actively being built, and where we are still learning.
To hear more, you can check out our product roadmap GLOW episode dropping later this summer. If you’re already a Jellyfish customer, keep an eye on our customer newsletter to catch new releases as they happen.
As always, thank you for your partnership.
About the author
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.
