AI x DevOps by Facets.cloud
AI x DevOps by Facets.cloud
Podcast Description
Engineering teams are under pressure to move faster, do more with less, and stay ahead of an increasingly complex stack. AI is becoming a key piece of that equation — not just as a tool, but as a shift in how DevOps is done.
At Facets.cloud, we’re building infrastructure orchestration for the AI era. And with AI x DevOps Podcast, we’re creating the space for honest, technical, forward-looking conversations about that shift - from early experiments to long-term visions.
This podcast is about sharing what’s real: what’s working, what’s not, and what’s next. Whether you’re building internal copilots, streamlining CI/CD with AI, or rethinking developer experience — we want to learn from your story.
Podcast Insights
Content Themes
The podcast focuses on various themes related to AI and DevOps, featuring topics like AI-driven infrastructure orchestration, practical use cases of AI in CI/CD processes, and the evolving developer experience. For example, episodes cover specific experiments such as incorporating LLMs in coding, the implications of deterministic versus vibe-coded infrastructure, and audience insights into the future of platform engineering driven by AI technologies.
Engineering teams are under pressure to move faster, do more with less, and stay ahead of an increasingly complex stack. AI is becoming a key piece of that equation — not just as a tool, but as a shift in how DevOps is done.
At Facets.cloud, we’re building infrastructure orchestration for the AI era. And with AI x DevOps Podcast, we’re creating the space for honest, technical, forward-looking conversations about that shift – from early experiments to long-term visions.
This podcast is about sharing what’s real: what’s working, what’s not, and what’s next. Whether you’re building internal copilots, streamlining CI/CD with AI, or rethinking developer experience — we want to learn from your story.
In the very first episode of the AI x DevOps Podcast, we dive into how AI is actually changing infrastructure, not hypothetically, but line by line.
Rohit Raveendran, is joined by Vincent De Smet, DevOps engineer at Handshakes.ai, and together, they explore what happens when LLMs start writing Terraform, the difference between deterministic and vibe-coded infra, and why CDK might offer a more AI-friendly future than raw HCL.
They talk about the trade-offs of trust, the future of platform engineering in an AI-powered world, and how inner-sourced guardrails could become the foundation for safe, scalable self-service. And yes, they touch on the scary parts too like what happens when your AI agent starts doing more than you asked.
If you’re wondering what it actually looks like to bring AI into DevOps without losing control, this one’s for you.
Wondering how AI-Ready is your DevOps? Take a 2-minute survey here to find out.
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