AI-assisted software development is rapidly reshaping how engineering teams build, ship, and scale software. But as organizations accelerate adoption, many engineering leaders are still asking the same question: How do we measure the real impact of AI on engineering performance?
That’s why Jellyfish is excited to announce our partnership with Kiro, an agentic development environment designed to help teams move faster and deliver high-quality software more efficiently.
Together, Jellyfish and Kiro give engineering organizations the visibility they need to understand how AI-assisted development is influencing productivity, delivery velocity, and overall engineering effectiveness.
Kiro customers want to understand the impact of AI in their development process. Jellyfish brings the core engineering insights that, combined with the Kiro usage analytics, enable our customers to quickly get to insight.
– Joe Cudby, Principal Product Manager, Agentic AI
Kiro supports developers across the software development lifecycle, helping teams streamline workflows, accelerate development cycles, and improve the developer experience. Through a deep integration with Jellyfish AI Impact, organizations can now connect AI adoption directly to measurable engineering and business outcomes.
Moving Beyond AI Experimentation
Engineering teams are investing heavily in AI tooling, but adoption alone doesn’t guarantee results. Leaders need to understand where AI is driving meaningful improvements – and where there’s opportunity to optimize further.
By combining Kiro’s AI-powered development capabilities with Jellyfish’s engineering intelligence platform, organizations can move beyond anecdotal feedback and gain a clearer picture of how AI impacts software delivery across teams.
With Jellyfish and Kiro, engineering leaders can:
- Understand AI adoption across the organization: Jellyfish provides near real-time visibility into how teams are using AI, helping leaders track adoption trends, usage patterns, and engagement over time.
- Connect AI usage to engineering outcomes: Organizations can measure how Kiro influences key engineering metrics, including delivery speed, cycle time, code quality, and developer productivity.
- Scale successful AI practices across teams: Jellyfish helps identify where AI-assisted workflows are driving the strongest results, enabling organizations to replicate effective behaviors and accelerate AI maturity across engineering.
Building the Future of AI-Integrated Engineering
As AI becomes embedded in modern software development, engineering leaders need more than isolated productivity gains – they need a system of intelligence that helps them evaluate, optimize, and scale AI-driven engineering practices over time.
Together, Kiro and Jellyfish provide the visibility and insights organizations need to confidently lead in the next era of software engineering.
To learn more about Kiro and Jellyfish AI Impact, or to see the integration in action, request a demo today. You can also explore Jellyfish’s growing ecosystem of AI integration partners here.
About the author
Billy Robins is Head of Partnerships at Jellyfish.
