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Dev.to · about 21 hours ago · 1m read AI

The Ultimate NumPy Course: Zero to GPT in Pure NumPy

A comprehensive NumPy course is now available, covering 18 chapters and 393 cells. It takes learners from basic arrays to implementing neural networks and GPT from scratch without using frameworks. The course includes bonus deep-dives, a research paper reproduction, and portfolio-ready projects. It's available for free preview on GitHub and for purchase on Gumroad starting at $9. This course is ideal for those looking to learn NumPy and AI concepts in-depth.

#NumPy#AI#Machine Learning

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Dev.to · about 21 hours ago · 13m read AI

Implementing Auto-Retry for Agent CLIs like Claude Code and Codex

Auto-retry for Agent CLIs like Claude Code and Codex should be implemented with a layered design to handle exceptions properly and avoid endless retry loops. This is because tasks can break halfway through and require consideration of the current context, content validity, and recovery strategies. A simple retry on error approach can lead to problems such as treating transient errors as final failures and replaying non-retryable errors. To implement auto-retry correctly, consider the content already output, the current context, and whether the failure is worth retrying. HagiCode's experience with integrating multiple Agent CLIs has shown that auto-retry is not just a button, but a complex design that requires careful consideration of these factors.

#AI#Agent CLIs#Auto-retry#Error Handling

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