Tech Storyteller | Freelance Technology Journalist | Panel Host | Event Host
Jennifer Riggins is a Tech Storyteller and Freelance Technology Journalist. She specializes in tech culture, software, and artificial intelligence, often exploring the intersection of these themes in her writing. Jennifer's work has been featured in The New Stack and SD Times.
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Jennifer Riggins' coverage indicates a strong interest in software development, engineering, and developer productivity. She frequently publishes "How To" guides and incorporates data and expert commentary into her work.
If you are reaching out to Jennifer with a pitch, consider providing actionable insights or how-to advice related to software development practices or emerging technologies such as AI. Additionally, since she often cites data, offering access to relevant industry statistics or research can be an effective way to engage her.
Given the topics covered in her articles, experts who have hands-on experience in software development methodologies, open source projects, AI applications for developers’ productivity could capture Jennifer's attention.
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HPE's new agentic AI operations system cuts root cause analysis time in half by using skills-based AI agents that work alongside human operators, not replace them.
By: Jennifer Riggins
Kelsey Hightower shares his views on AI, open source sustainability, and career resilience for engineers at KubeCon + CloudNativeCon Europe 2026 in Amsterdam.
By: Jennifer Riggins
Learn how standardization of AI workloads on Kubernetes has become an urgent industry priority and how llm-d and a CNCF conformance program makes that happen.
By: Jennifer Riggins
Traditional APM tools can't keep pace with autonomous AI agents. A new generation of AI observability platforms is evolving to audit agentic decisions.
Gain exclusive access to the Spotify team to learn what it means that its best developers don't write code anymore. Instead they manage AI agents.
By: Jennifer Riggins
New data shows only 5% of firms find AI ROI. Join Octopus Deploy on May 7, 2026, to explore research on AI adoption and metrics that actually move the needle.
By: Jennifer Riggins
Jim Bugwadia explains Kyverno's journey to CNCF graduation and 3 billion downloads. Discover how Kubernetes policy is evolving for AI workloads in 2026.
By: Jennifer Riggins
Here's how HPE is using agentic AI, predictive analytics, and closed-loop operations to help understaffed enterprise ops teams handle hybrid cloud complexity.
Kubernetes is becoming the de facto operating system for AI. Two-thirds of organizations running generative AI models use Kubernetes for inference, while production use of Kubernetes hits a whopping 82%.
By: Jennifer Riggins
As GPU-heavy AI workloads spike cloud bills, 89% of organizations prioritize Kubernetes rightsizing — but only 27% trust automation to apply changes.
