Bandits in Your LLM Gateway
tensorzero.comΒ·1dΒ·
Discuss: Hacker News
🎯Reinforcement Learning
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Stop context-switching, connect your dev tools with code
tooljump.devΒ·15hΒ·
Discuss: Hacker News
🌳Git
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Hire Me in Japan
overreacted.ioΒ·2dΒ·
Discuss: r/javascript
βš›οΈReact
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Chef who discovers recipes that don’t just feed the body, but awaken hidden talents in anyone who tastes them.
google.github.ioΒ·1dΒ·
Discuss: DEV
πŸ“šTechnical Writing
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Mount Mayhem at Netflix: Scaling Containers on Modern CPUs
netflixtechblog.medium.comΒ·5dΒ·
Discuss: Hacker News
⚑Seastar
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Omarchy: A New Linux Distro for Pragmatic Users
dev.toΒ·17hΒ·
Discuss: DEV
🐧Linux
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My go-to prompt for legacy code exploration
leftofthe.devΒ·2dΒ·
Discuss: Hacker News
πŸ’¬Prompt Engineering
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I developed an open-source Python implementation of Anthropic/Cloudflare idea of calling MCPs by code execution
reddit.comΒ·2dΒ·
Discuss: r/ClaudeAI
☁️Cloudflare Workers
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Figma MCP vs Kombai: Which is Best for Figma-to-Code Automation?
dev.toΒ·2dΒ·
Discuss: DEV
🎨Design Systems
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HTML Entity Decoder β€” Bring Your Encoded Text Back to Life! πŸ§™β€β™‚οΈβœ¨
dev.toΒ·13hΒ·
Discuss: DEV
⚑Ruff
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Getting the Model Right
dev.toΒ·2dΒ·
Discuss: DEV
🎨API Design
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Walking the Tightrope of LLMs for Software Development: A Practitioners' Perspective
arxiv.orgΒ·2d
πŸ¦™Ollama
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TYrPPG: Uncomplicated and Enhanced Learning Capability rPPG for Remote Heart Rate Estimation
arxiv.orgΒ·2d
πŸ”₯PyTorch
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React Hooks for Library Authors
dev.toΒ·1dΒ·
Discuss: DEV
βš›οΈReact
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Constrained and Robust Policy Synthesis with Satisfiability-Modulo-Probabilistic-Model-Checking
arxiv.orgΒ·1d
βœ…Model Checking
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DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question Answering
arxiv.orgΒ·1d
πŸ’¬Prompt Engineering
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NDC Conferences: The future & challenges of cloud - Anders Lybecker - NDC Copenhagen 2025
dev.toΒ·10hΒ·
Discuss: DEV
πŸ“‘Event-Driven Architecture
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Facade Pattern β€” Catalog of Enterprise Application Architecture Patterns 🏒
dev.toΒ·6dΒ·
Discuss: DEV
🎨Design Systems
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Guaranteeing Conservation of Integrals with Projection in Physics-Informed Neural Networks
arxiv.orgΒ·2h
πŸŒ€Naiad
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