Jellyfish is excited to partner with Codex, OpenAI’s coding agent, to bring AI telemetry and visibility to our shared customers – helping engineering organizations better understand how AI-assisted development impacts productivity, delivery velocity, and business outcomes.
AI is already transforming how engineering teams build software, but understanding its real impact at scale is critical. With Codex accelerating development workflows and Jellyfish providing visibility into adoption, productivity, and delivery outcomes, we’re able to make more informed decisions about how we scale AI across our engineering organization. Together, they give us both the capability and the intelligence layer needed to drive meaningful engineering impact.
– Roman Bugaev, CTO, Flo Health
Codex supports developers throughout the software development lifecycle, enabling teams to move faster, streamline workflows, and deliver high-quality software more efficiently. Through a deep integration with Jellyfish AI Impact, organizations can now connect Codex adoption to measurable engineering and business results.
Turning AI Adoption Into Measurable Outcomes
Engineering organizations are investing heavily in AI, but many leaders still lack clear visibility into whether those investments are delivering real returns. By combining Codex’s AI-powered development capabilities with Jellyfish’s AI telemetry and analytics, organizations can move beyond experimentation to confidently measure how AI influences productivity, delivery performance, and engineering effectiveness.
Together, Codex and Jellyfish help engineering leaders:
- Gain near real-time visibility into AI adoption: Jellyfish surfaces up-to-date insights on AI usage, adoption trends, and engineering outcomes directly within the platform, giving leaders a clear view into how teams are leveraging AI across the organization.
- Measure AI’s impact on engineering productivity: AI Impact helps organizations understand how Codex influences critical engineering metrics – from accelerating feature delivery and improving code quality to reducing cycle times and minimizing technical debt.
- Scale AI effectiveness and optimize usage at scale: Jellyfish identifies where AI adoption is delivering measurable results, enabling organizations to replicate successful behaviors, share best practices, and accelerate effective rollout across teams.
The Intelligence Platform for AI-Integrated Engineering
As AI becomes a foundational part of modern software development, engineering leaders need more than adoption metrics – they need actionable intelligence. Together, Codex and Jellyfish provide the visibility organizations need to understand, optimize, and scale AI-integrated engineering performance.
To learn more about Codex and Jellyfish AI Impact, or to see the integration in action, request a demo today. You can learn more about Jellyfish’s deep range of AI integration partners here.
About the author
Billy Robins is Head of Partnerships at Jellyfish.
