🚀 Exciting News! 🚀
The third episode of my Kubeflow tutorial series is now live on the "DevOps Hobbies" YouTube channel! 🎥
In this series, we dive deep into Kubeflow, the powerful machine learning toolkit for Kubernetes, and explore how it can streamline your MLOps workflows. Whether a beginner or an experienced practitioner, this series has something for everyone!
🔗 Watch the full playlist here: https://www.youtube.com/playlist?list=PLYrn63eEqAzZ0BBrE5SkTwB5nOB4RlQCn
A huge thanks to the DevOps Hobbies team for featuring this series and to everyone who has been following along. Your support means the world! 🙌
If you're passionate about MLOps, Kubernetes, or AI/ML, this series is for you. Don't forget to like, share, and subscribe to stay updated on future episodes! 🚀
#Kubeflow #MLOps #Kubernetes #MachineLearning #AI #DevOps #DataScience #CloudNative #TechTutorial #DevOpsHobbies
The third episode of my Kubeflow tutorial series is now live on the "DevOps Hobbies" YouTube channel! 🎥
In this series, we dive deep into Kubeflow, the powerful machine learning toolkit for Kubernetes, and explore how it can streamline your MLOps workflows. Whether a beginner or an experienced practitioner, this series has something for everyone!
🔗 Watch the full playlist here: https://www.youtube.com/playlist?list=PLYrn63eEqAzZ0BBrE5SkTwB5nOB4RlQCn
A huge thanks to the DevOps Hobbies team for featuring this series and to everyone who has been following along. Your support means the world! 🙌
If you're passionate about MLOps, Kubernetes, or AI/ML, this series is for you. Don't forget to like, share, and subscribe to stay updated on future episodes! 🚀
#Kubeflow #MLOps #Kubernetes #MachineLearning #AI #DevOps #DataScience #CloudNative #TechTutorial #DevOpsHobbies
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🚨 The biggest bottleneck in AI coding isn't the model. It's context.
Every new AI session spends thousands of tokens relearning your codebase. And once you're in Claude Code, Codex, or another coding agent, you're locked into that provider, you can't switch models or providers without losing context.
Sema solves this by indexing your codebase once, locally, and sharing that context across Claude Code, Codex, OpenCode, Grok, and more.
✅ Switch models and providers without losing context
✅ Reuse your existing Claude Code, Codex, OpenCode, or Grok subscriptions, or bring your own API keys
✅ Keep everything local with one shared index across VS Code, the terminal, and MCP
Everything stays on your machine.
🔗 https://get-sema.com
💻 https://github.com/get-sema/sema
Would you use a tool like this?
#AI #ClaudeCode #Codex #MCP #DeveloperTools #OpenSource #DevOpsHobbies
Every new AI session spends thousands of tokens relearning your codebase. And once you're in Claude Code, Codex, or another coding agent, you're locked into that provider, you can't switch models or providers without losing context.
Sema solves this by indexing your codebase once, locally, and sharing that context across Claude Code, Codex, OpenCode, Grok, and more.
✅ Switch models and providers without losing context
✅ Reuse your existing Claude Code, Codex, OpenCode, or Grok subscriptions, or bring your own API keys
✅ Keep everything local with one shared index across VS Code, the terminal, and MCP
Everything stays on your machine.
🔗 https://get-sema.com
💻 https://github.com/get-sema/sema
Would you use a tool like this?
#AI #ClaudeCode #Codex #MCP #DeveloperTools #OpenSource #DevOpsHobbies
Get-Sema
Sema — one local index. Every AI, code-aware.
Sema is a VS Code extension, an agentic assistant, and a semantic indexer. A Cursor-style chat that already knows your codebase — with any provider, switchable mid-conversation. Uses your existing Claude Code and Codex subscription.
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