Superbase on the Commodore 64
stonetools.ghost.io·12h·
Discuss: Hacker News
💾Minimal Databases
FastAPI & PostgreSQL Sharding: A Step-by-Step Guide (Part 1) - Theory
realpython.com·16h·
Discuss: DEV
🔗Hash Functions
🚀 I built Beat The Boss, an HTML game, with Vibe Coding — give it a spin!
beatthebossgame.com·20h·
Discuss: DEV
Live Coding
DiffuSpec: Unlocking Diffusion Language Models for Speculative Decoding
arxiv.org·21h
🚀Tokenizer Performance
Self-Reflective Generation at Test Time
arxiv.org·21h
Gleam
We built a CUDA emulator that profiles GPU code with zero hardware
rightnowai.co·1h·
Discuss: Hacker News
🏗️Custom Allocators
Advanced RAG: Comparing GraphRAG, Corrective RAG, and Self-RAG
pub.towardsai.net·1d
🌊Streaming Lexers
🎲 Collaborative Text Editing from Scratch in Lexical
mortenson.coffee·17h
📝Rope Editors
Toy Binary Decision Diagrams
philipzucker.com·1d
Type Checking
LLM-Based Instance-Driven Heuristic Bias in the Context of a BRKGA
researchgate.net·2d·
Discuss: Hacker News
🪜Recursive Descent
Generative AI finds antimicrobial peptides against multidrug-resistant bacteria
nature.com·2d·
Discuss: Hacker News
🗺️Region Inference
Automated Verification of Code Logic & Security Vulnerabilities via Hyperdimensional Semantic Analysis
dev.to·21h·
Discuss: DEV
🌳Pattern Match Compilation
My Node.js app's performance hit a wall at scale. I wrote a breakdown of the concurrency patterns I used to fix it.
reddit.com·18h·
Discuss: r/node
📡Erlang BEAM
Chat Smarter, Not Harder: Building an AI Chat Interface in Your Angular App
dev.to·4h·
Discuss: DEV
🎮Language Ergonomics
Rigorous Evaluation of Microarchitectural Side-Channels with Statistical Model Checking
arxiv.org·21h
📱Bytecode Design
Huawei's new open source technique shrinks LLMs to make them run on less powerful, less expensive hardware
venturebeat.com·3d
🔄Binary Translation
🚀 Day 36 of My Data Journey
dev.to·11h·
Discuss: DEV
🌱Minimal ML
Fundamentals metrics for Software Engineering derived from Math Statistics
dev.to·1d·
Discuss: DEV
🔗Hash Functions
Unlock Peak Model Performance: MINERVA's Surprisingly Simple Feature Selection by Arvind Sundararajan
dev.to·15h·
Discuss: DEV
🗺️Region Inference
Understanding the KV Cache (feat. Self-Attention)
dev.to·18h·
Discuss: DEV
🔄Subinterpreters