What do you do?.I'm a Developer Advocate. Oh, so you're a lawyer. Umm. no. I've been asked this question a lot - What I do as a Developer Advocate & What is it all about?. Here's all you need to know 👇🏽. #DevRel #DeveloperRelations #Community #Developer.

RT @CloudNativeFdn: #TeamCloudNative India: Just 3️⃣weeks until #KubeCon + #CloudNativeCon! 📅 6-7 Aug, Hyderabad 📚 12 tracks + lightning ta….

Just random conversations with Lord @ramiyengar 🙏🏻. #Community

RT @GoogleIndia: Aaj ki taaza khabar for students! You’re getting a Google Gemini upgrade (worth ₹19,500) for FREE! 💥.Sign up and claim fr….

RT @cncfhyd: 🚨 CNCF Hyderabad Meetup Incoming! 🚨. 📅 July 26 | 📍 F5 Networks.Join us on another 4th Saturday as we dive into where AI meets….

This is going to be exciting! #KubeConIndia.

RT @testkubeio: Kubernetes too soon = overkill. Too late = migration nightmare. This guide breaks down when to adopt with a strategic fram….

RT @Atulmaharaj: Conversations with my dad lately - Ideas, AI & GitHub 🙈. He's got into this whole idea of #VibeCoding and is building smal….

RT @CloudNativeFdn: 🎤 CFP is OPEN for KyvernoCon Virtual 2025!. 🚀 Share how you're scaling Kubernetes policy as code.🛡️ Security, 🛠️ Dev En….

The real question: Are we building platforms that scale with AI velocity, or against it?. If you're working on platform engineering for AI workflows, let's connect! 👇. #PlatformEngineering #DevEx.

API-Native Design: Machine-readable results that AI agents use to improve future submissions, plus CLI tools that work for everyone. The beautiful part? Platforms built for AI agents create better developer experiences for humans too. ✨.

Instant Feedback Loops: Sub-minute test results and real-time quality gates. AI agents can process feedback immediately - why make them wait? 🤷‍♂️. Parallel execution, smart batching, and real-time previews. #DevEx.

Self-Service Everything: GitOps-driven pipelines where both developers and AI agents configure CI by changing code, not clicking UIs. No more waiting for "CI team approval" - the platform scales automatically with demand. #GitOps #DevEx.

The answer isn't bigger CI farms. It's smarter platforms that serve both humans and AI agents equally well. We need to rethink CI architecture from the ground up for machine-speed development cycles. Here's how. 👇.

But as I always say, look at the positive side. This isn't just a scaling problem - it's a massive developer experience opportunity. The solution? Platform Engineering for the AI Era 🚀. #DevEx #PlatformEngineering.

Here's the math that scared me:. If your CI takes 20 minutes per PR, and AI agents submit 50 simultaneous PRs. that's 1000 minutes of queued work. Your developers will be waiting 16+ hours for feedback 🤯. The bottleneck isn't code generation anymore - it's CI. #DevOps.

During a recent conversation about AI coding agents, someone dropped a scary insight: AI can generate 10x more PRs than human developers in the same time. This is about to break our CI systems. Here's why (and how to fix it) 👇. #PlatformEngineering #DevOps #GenAI #VibeCoding

RT @CloudNativeFdn: 🚀 “We’re seeing real traction in the CNCF ecosystem where platform engineering, when paired with strong developer exper….

I documented the complete strategic framework and decision matrices in my latest blog post on @Testkube_io - have a read and share your thoughts on when you should adopt #Kubernetes?.

Even teams choosing to delay can architect K8s-ready applications today. Containerization, stateless design, GitOps workflows - all learnable outside production pressure. Did you learn #Kubernetes gradually through side projects, or dive in during production needs?.

My homelab proved the concept. When teams eventually need orchestration, they're learning on familiar tools instead of crash-coursing during critical business moments.