Devlog #4
daemeraldguy.itch.io·5h
🌊Loop Invariant Motion
The Dual-Write Problem in SpiceDB: A Deep Dive from Google and Canva Experience
authzed.com·1d
↔️Bidirectional Sync
Take Home Interviews in the Era of Claude
blog.reffie.me·1h·
Discuss: Hacker News, r/programming
🎮Language Ergonomics
Model Kombat by HackerRank
producthunt.com·1d
🏁Language Benchmarks
Monero’s seed phrase words
johndcook.com·1d·
Discuss: Hacker News
🏗️Hash Tables
AMD expands AM5 Ryzen lineup with three six-core budget CPUs
club386.com·12h
🏗️CPU Architecture
Password Security Part 2: The Human Factor – Password Patterns and Weaknesses
guidepointsecurity.com·2d
🔗Hash Functions
Someone ran Doom to see how long it takes to crash out. It took 2 and a half years—roughly the same timeframe required to break many a retro game
pcgamer.com·7h
🤖Embedded Go
Mastering Memory Management in High-Concurrency Go Apps
dev.to·18h·
Discuss: DEV
🐹Go Runtime
Design/ Show Sales/ Sales/ Warehouse/ E-Com/ Model
radiokorea.com·3d
🐍lisp
Day 28 of #100DaysOfRust: Smart Pointers and Deref Coercion
dev.to·3h·
Discuss: DEV
🔒Rust Borrowing
Learn How to Use Transformers with HuggingFace and SpaCy
towardsdatascience.com·2d
📊Pratt Parsers
Following my passion #2: position vector and learning more Zig
dev.to·1d·
Discuss: DEV
⚡Zig
Automated Data Lineage Reconstruction via Multi-Modal Graph Analysis & HyperScore Validation
dev.to·2d·
Discuss: DEV
🏷️Attribute Grammars
Rust-style safety model for C++ 'rejected' as profiles take priority
theregister.com·1d·
Discuss: Hacker News
🌈Gradual Languages
A Graph Machine Learning Approach for Detecting Topological Patterns in Transactional Graphs
arxiv.org·15h
🔗Graph Rewriting
JT-Trader: A Complete Overview of the Cryptocurrency Algorithmic Trading Platform
dev.to·10h·
Discuss: DEV
⚡Live Coding
Solving LeetCode's "Add Two Numbers" Iteratively and Recursively - Part 1
dev.to·3d·
Discuss: DEV
🔄Copy Propagation
The Password That Never Was: How to Access Secrets That Were Always There. Smart Password Library. 🔐
dev.to·22h·
Discuss: DEV
🔗Hash Functions
Leveraging Large Language Models to Effectively Generate Visual Data for Canine Musculoskeletal Diagnoses
arxiv.org·15h
🌱Minimal ML