Does a frontend dev need a protfolio website
patrykstefaniak-portfolio.vercel.appยท1hยท
Discuss: r/webdev
๐ŸŒWebAssembly
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Real-World Java โ€ข Victor Grazi, Jeanne Boyarsky & Barry Burd
youtube.comยท1d
๐ŸŒWebAssembly
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Alibaba Flags Hallucination Risks in Multilingual AI Translation
slator.comยท1d
๐Ÿš€Performance
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BlueCodeAgent: A blue teaming agent enabled by automated red teaming for CodeGen AI
microsoft.comยท1d
๐Ÿš€Performance
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Weekly crate updates: Cargo-lock v11 hardens supply chain security analysis, enhanced URI parsing, stricter Markdown compliance
cargo-run.newsยท1dยท
Discuss: r/rust
๐ŸนGo
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Why Unifying AI Tools Is Suddenly Critical?
hackernoon.comยท22h
๐Ÿš€Performance
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No More Train-Inference Mismatch: Bitwise Consistent On-Policy Reinforcement Learning with vLLM and TorchTitan
blog.vllm.aiยท2dยท
Discuss: Hacker News
๐Ÿš€Performance
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Unlocking Enzyme Secrets: AI-Powered Mutational Analysis by Arvind Sundararajan
dev.toยท2dยท
Discuss: DEV
๐Ÿš€Performance
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From Laravel Factories to Framework-Agnostic: Building the Data Factory Package
dev.toยท23hยท
Discuss: DEV
๐ŸŒWebAssembly
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How to learn C++
reddit.comยท2dยท
๐Ÿ“C Programming
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Foundational Automatic Evaluators: Scaling Multi-Task Generative EvaluatorTraining for Reasoning-Centric Domains
paperium.netยท1dยท
Discuss: DEV
๐Ÿš€Performance
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Tinyboards: A Self-Hosted, Rust-Powered Reddit Alternative (Alpha)
reddit.comยท22hยท
Discuss: r/rust
๐ŸŒWebAssembly
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Tech With Tim: Python for Machine Learning - Complete Roadmap!
dev.toยท17hยท
Discuss: DEV
๐Ÿš€Performance
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DiagnoLLM: A Hybrid Bayesian Neural Language Framework for Interpretable Disease Diagnosis
arxiv.orgยท1d
๐Ÿš€Performance
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After 30ish years of starts and stops I finally released a "computer game" in a rather unexpected way.
reddit.comยท23hยท
Discuss: r/gamedev
๐Ÿ“C Programming
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The Symphony of Speed: A Journey into Node.js JIT Compilation
dev.toยท4dยท
Discuss: DEV
๐Ÿš€Performance
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๐Ÿท๏ธ Blazingly.fast โ€” a framework for belief-driven benchmarking
dev.toยท3hยท
Discuss: DEV
๐Ÿš€Performance
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The Secret Life of Python: Generator Secrets - Functions That Remember
dev.toยท1dยท
Discuss: DEV
๐ŸนGo
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Pushing Past the First Error During Type Inference
thunderseethe.devยท2d
๐ŸนGo
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Beyond Redundancy: Diverse and Specialized Multi-Expert Sparse Autoencoder
arxiv.orgยท1d
๐Ÿš€Performance
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