[Deep Dive] How We Solved Poker: From Academic Bots to Superhuman AI (1998-2025)
gist.github.com·1h·
Discuss: r/programming
💰TigerBeetle
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OpenLoRa: Validating LoRa Implementations Through an Open-Sourced Framework
usenix.org·18h·
Discuss: Hacker News
🔍eBPF
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Feature Stores 2.0: The Next Frontier of Scalable Data Engineering for AI
hackernoon.com·22h
🎨Design Systems
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Java Generics and Collections • Maurice Naftalin & Stuart Marks • GOTO 2025
youtube.com·6d
📏Linear Types
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GitHub Copilot tutorial: How to build, test, review, and ship code faster (with real prompts)
github.blog·10h
🤖Automation
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OSS updates September and October 2025
blog.michielborkent.nl·3d
🔵Clojure
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Topographical sparse mapping: A training framework for deep learning models
sciencedirect.com·1d·
Discuss: Hacker News
👁️Computer Vision
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From Vibe Coding to Informed Development: How Codalio PRD Transforms Your Cursor Workflow
codalio.com·1d·
Discuss: DEV
🎨API Design
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The Exhaust Port of Cohesion: Precision Provocation in LLMs
blog.gopenai.com·1d·
Discuss: Hacker News
💫Effect Systems
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Building a P2P Rental Marketplace - Full-Stack Architecture with Flutter & Express.js
revolvo.tech·12h·
Discuss: DEV
🌐Axum
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Optional Is Not Optional in C++ (and Definitely Not a Pointer)
dev.to·9h·
Discuss: DEV
🦀Rust Lifetimes
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Vim and I
dev.to·2h·
Discuss: DEV
📝Neovim
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Tech With Tim: 3 Unique Python Features You NEED To Know
dev.to·3h·
Discuss: DEV
🐍Python
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Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs
arxiv.org·1d
📊Profile-Guided Optimization
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An Empirical Investigation of the Experiences of Dyslexic Software Engineers
arxiv.org·1d
📝NLP
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Opportunistically Parallel Lambda Calculus
dl.acm.org·6d·
Discuss: Hacker News
🌳Tree-sitter
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Managing long contexts in agentic coding systems
cto.new·11h·
Discuss: Hacker News
💬Prompt Engineering
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Redundancy Maximization as a Principle of Associative Memory Learning
arxiv.org·22h
📊Dynamic Programming
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MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning
arxiv.org·22h
💬Prompt Engineering
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Q-Sat AI: Machine Learning-Based Decision Support for Data Saturation in Qualitative Studies
arxiv.org·22h
🧠Machine Learning
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