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📼 Cassette Combinators

Tape Programming Models, Sequential Computation, Linear Processing, Storage Abstractions

Node.js – Open-Sourced Identity
nodejs.org·3h·
Discuss: Hacker News
🏛Digital humanities
Cross-Compiling 10,000+ Rust CLI Crates Statically
blog.pkgforge.dev·2d·
Discuss: Lobsters, Hacker News
🦀Rust Macros
Solving LinkedIn Queens Using Haskell
imiron.io·5d·
Discuss: Lobsters, Hacker News, r/programming
λLambda Formalization
Slouching Towards Sensemaking
karanchawla.io·5h·
Discuss: Hacker News
🧲Magnetic Philosophy
Show HN: AppifyText – AI text-to-app tool that builds internal tools
appifytext.ai·1d·
Discuss: Hacker News
🎙️Whisper
What is LZW compression?
dev.to·2d·
Discuss: DEV
🗜️LZW Variants
Why Binary Won and Nothing Else Even Got Close
b0a04gl.site·4d·
Discuss: Hacker News
🧲RISC-V Archaeology
🔍 Deep Dive into useMemo in React.js: Optimize Performance Like a Pro
dev.to·3h·
Discuss: DEV
🏎️Varnish Cache
RecLLM-R1: A Two-Stage Training Paradigm with Reinforcement Learning and Chain-of-Thought v1
arxiv.org·4d
⚡Incremental Computation
How Good Are Synthetic Requirements ? Evaluating LLM-Generated Datasets for AI4RE
arxiv.org·2d
🌀Brotli Internals
Polynomial-Time Approximation Schemes via Utility Alignment: Unit-Demand Pricing and More
arxiv.org·3d
🎯Performance Proofs
Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation
arxiv.org·2d
🔍Information Retrieval
😎 What Every Developer Should Learn Before 2026
dev.to·15h·
Discuss: DEV
🪟Awesome windows command-line
Progressive Size-Adaptive Federated Learning: A Comprehensive Framework for Heterogeneous Multi-Modal Data Systems
arxiv.org·2d
🧠Machine Learning
Agentic AI: Implementing Long-Term Memory
towardsdatascience.com·4d
💾Persistence Strategies
Scaling Pinterest ML Infrastructure with Ray: From Training to End-to-End ML Pipelines
medium.com·4d·
Discuss: Hacker News
🧮Z3 Applications
🧠 Solving LeetCode Until I Become Top 1% — Day `31`
dev.to·3d·
Discuss: DEV
🔢Bitwise Algorithms
Linux from the developer's perspective. Part 1 - C language introduction
dev.to·1h·
Discuss: DEV
🔩Systems Programming
Ran out of idea for AI product, so I talked to Gemini
dev.to·3h·
Discuss: DEV
🏛Digital humanities
From Manual Testing Hell to Automated Paradise: How Keploy Revolutionized My Testing Workflow
dev.to·1d·
Discuss: DEV
🔍Concolic Testing
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