cyyeh
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- Show HN: Harness Relay – the coding agents you have, working together (agentic-system-lab.github.io)
One kind of agent is enough for a team: all of one kind, or any mix of Claude Code, Codex, Grok, Cursor Agent, Antigravity, GitHub Copilot CLI, Muse Code and five open-source coding agents on your own model backends.…
- Show HN: Micrograd(Rust Version) (github.com)
micrograd(from Andrej Karpathy) implemented in Rust with Python bindings via PyO3 using Cursor agent mode
- Semantic Transpiler Agent (github.com)
- VulcanSQL and LLMs (twitter.com)
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I just thought that it would be an effective learning method to learn how to effectively train neural networks using case study approaches. Are there any resources like that? Thanks!