Covers as a way of learning music and code
ntietz.com·17h
📝Compiler Design
Dependency thoughts
macwright.com·1d
🔗Dependency Resolution
An engineer’s path from data loss to software preservation
softwareheritage.org·5d
🔄Archival Workflows
Information modeling example: Call sheet
disruptivearchitecture.info·3d
🚚Data Migration
Quoting Daniel Litt
simonwillison.net·2h
🧮SMT Solvers
What Does isinstance() Do in Python?
realpython.com·3h
🔤Type Theory
Information Warfare
yuxi.ml·10h·
Discuss: Hacker News
🔲Cellular Automata
Brent Yorgey: Competitive programming in Haskell: sparse tables
byorgey.github.io·3d
🧮Algebraic Datatypes
The Power and Potential of Zero-Knowledge Proofs
cacm.acm.org·4d·
Discuss: Hacker News
🔐Quantum Security
Fully Homomorphic Encryption and the Dawn of a Truly Private Internet
bozmen.io·3d·
Discuss: Hacker News
🔐Homomorphic Encryption
Reverse engineering the mysterious Up-Data Link Test Set from Apollo
righto.com·33m·
Discuss: Lobsters, Hacker News
⚡Circuit Archaeology
Small Programming Language for editing photos (written in Rust)
reddit.com·1d·
Discuss: r/rust
🦀Rust Macros
Machine Learning Fundamentals: ensemble learning tutorial
dev.to·1d·
Discuss: DEV
🌊Stream Processing
[P] Echoes of GaIA: modeling evolution in biomes with AI for ecological studies.
reddit.com·3h·
Discuss: r/MachineLearning
🔲Cellular Automata
Navigating the Landscape: Perl vs. Python vs. Bash in System Administration and Automation
dev.to·1d·
Discuss: DEV
🐚Shell Automation
Complete Beginner's Guide to Building AI Agents with LangChain and LangGraph
dev.to·1d·
Discuss: DEV
🔗Constraint Handling
Show HN: Duende: Web UX for guiding Gemini as it improves your source code
github.com·20h·
Discuss: Hacker News
⚡Proof Automation
🚀 AI-Powered README Generator – Automatically Write Beautiful READMEs with Gemini + LangChain
dev.to·8h·
Discuss: DEV
🤖Archive Automation
Slices, Prices & Python
dev.to·6h·
Discuss: DEV
🔗Concatenative Programming
Benchmarking of EEG Analysis Techniques for Parkinson's Disease Diagnosis: A Comparison between Traditional ML Methods and Foundation DL Methods
arxiv.org·13h
🧠Machine Learning