From Lists to Structured Data: A Transformation Guide
haarisekou200207.webbuzzfeed.com·5h
🌳Data Structures
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This website makes self-learning with YouTube so much easier
aitutorly.ai·2h·
📊Dynamic Programming
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GSoC 2025: Introducing an ABI Lowering Library
blog.llvm.org·2d
🔨LLVM
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Best tool for measuring lots of source code
shape-of-code.com·2d
🏭Code Generation
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Attention Is All You Need for KV Cache in Diffusion LLMs
paperium.net·1d·
Discuss: DEV
🔁Cache Coherence
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What is Code Refactoring? Tools, Tips, and Best Practices
dev.to·11h·
Discuss: DEV
🕸️WebAssembly
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How to Design Efficient Memory Architectures for Agentic AI Systems
pub.towardsai.net·10h
🔁Cache Coherence
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RimStone is a different kind of programming language
dev.to·3d·
Discuss: DEV
⚙️Systems Programming
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Rust Testing Framework: Build Reliable Code with Built-In Unit and Integration Tests
dev.to·10h·
Discuss: DEV
🦀Rust Macros
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Transformer-Based Decoding in Concatenated Coding Schemes Under Synchronization Errors
arxiv.org·1d
📝Parser Combinators
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Writing an LLM from scratch, part 27 – what's left, and what's next?
gilesthomas.com·1d·
Discuss: Hacker News
📊Dynamic Programming
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AI Function Calling: Composing and Decomposing Functions for Complex Tasks
lightcapai.medium.com·10h·
Discuss: Hacker News
📺Go Channels
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DecompSR: A dataset for decomposed analyses of compositional multihop spatial reasoning
arxiv.org·33m
📝Parser Combinators
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Networking in the Standard Library is a terrible idea
reddit.com·23h·
Discuss: r/cpp
📦Binary Formats
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We built a collaboration platform on Claude Code. Here's what we learned.
gbase.ai·5h·
Discuss: r/ClaudeAI
🗄️Database Internals
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How Serde Transforms Rust Data Serialization: Complete Performance and Safety Guide
dev.to·10h·
Discuss: DEV
🕸️WebAssembly
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From Lossy to Lossless Reasoning
manidoraisamy.com·4d·
Discuss: Hacker News
📝Parser Combinators
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LangChain vs LangGraph: A Beginner’s Guide to Building Smarter AI Workflows
hackernoon.com·1d
📝Parser Combinators
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Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs
arxiv.org·1d
🔨LLVM
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