Mastering the ‘O’ in SOLID: Applying the Open/Closed Principle in Real-World Code
medium.com·14h·
Discuss: DEV
💬REPL Design
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Iterators - Dive into Lazy, Composable Processing
itsfoxstudio.substack.com·1d·
Discuss: r/rust
🔗Borrowing Extensions
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Another way of doing big O notation
alok.github.io·1d
Church Encoding
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When Five Dumb AIs Beat One Smart AI: The Case for Multi-Agent Systems
ksramalakshmi.medium.com·1d·
Discuss: r/LocalLLaMA
🔢Algebraic Datatypes
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Building a Rules Engine from First Principles
towardsdatascience.com·4d
⚖️Inference Rules
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A Tale of LLMs and Induced Small Proxies: Scalable Agents for Knowledge Mining
dev.to·2d·
Discuss: DEV
🌱Minimal ML
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Visual Backdoor Attacks on MLLM Embodied Decision Making via Contrastive Trigger Learning
arxiv.org·17h
🎭Racket
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Simple Additions, Substantial Gains: Expanding Scripts, Languages, and Lineage Coverage in URIEL+
arxiv.org·17h
🌉Cross-Language AST
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Learning Python in Public: Why I Started ZeroToPyHero
dev.to·6h·
Discuss: DEV
💬Interactive REPLs
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Reflections on Trusting Trust (1984)
web.archive.org·1d·
Discuss: Hacker News
🏷️Memory Tagging
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Revisiting Model Interpolation for Efficient Reasoning
dev.to·19h·
Discuss: DEV
Effect Inference
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Moving past speculation: How deterministic CPUs deliver predictable AI performance
venturebeat.com·1d
📅Instruction Scheduling
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Software Development in the Time of New Angels
davegriffith.substack.com·3h·
Discuss: Substack
📊Code Metrics
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Building Trinity Protocol v3.1: A Deep Dive into 2-of-3 Multi-Chain Consensus
dev.to·3h·
Discuss: DEV
📡Binary Protocols
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Building Software That Survives • Michael Nygard & Charles Humble • GOTO 2025
youtube.com·9h
🎮Language Ergonomics
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Bayesian prediction of aerospace system mission reliability with hierarchical and multi-fidelity test data fusion
sciencedirect.com·1d
🚂Error Propagation
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Automated Assessment of Scientific Grant Proposals via Hyperdimensional Semantic Analysis
dev.to·1d·
Discuss: DEV
💬Interactive REPLs
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How AI Agents Evolved and What’s Next
pub.towardsai.net·16h
🎭Program Synthesis
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