Intermediate Representation, Code Generation, Optimization Passes, Compiler Backend

CSS HDR Gradients [link]
remysharp.comยท1d
๐ŸŒˆGradual Languages
Linux Server Security: Hardening Your Infrastructure
chrisbinnie.github.ioยท5h
๐Ÿ›ก๏ธCapability Security
Kubernetes Orchestration is More Than a Bag of YAML
yokecd.github.ioยท2dยท
๐Ÿ“กChannels
New comment by aePiots in "AรฉPiot: A Comprehensive Analysis of the Semantic Web Infrastructure Platform"
better-experience.blogspot.comยท3dยท
Discuss: Hacker News
๐Ÿ“šFactor
Converting TensorFlow Models to TensorFlow Lite: A Step-by-Step Guide
excelr.comยท2dยท
Discuss: DEV
๐Ÿš€MLton
Show HN: tstr - PEP 750 Template String Utilities & Backports
github.comยท1dยท
Discuss: Hacker News
๐Ÿ“‹Template Compilers
Title: Simplifying Code Execution on Multiple Integer Variables
dev.toยท2dยท
Discuss: DEV
๐ŸŽญDelimited Continuations
Foremost, Fastest, Shortest: Temporal Graph Realization under Various Path Metrics
arxiv.orgยท2d
๐Ÿ•ธ๏ธGraph Algorithms
Synthetic Data Generation Methods for LLMs: A Comprehensive Guide
pub.towardsai.netยท1d
๐Ÿ”งParser Generators
saxon1964/neovim-tips v0.6.0
github.comยท9h
๐Ÿ’ปTerminal UIs
The 'Before' Picture: AI That Understands the Flow of Reality
dev.toยท1dยท
Discuss: DEV
๐Ÿ›๏ธElm Architecture
Opinionated Frameworks vs Non-Opinionated Frameworks
dev.toยท23hยท
Discuss: DEV
๐ŸŒˆGradual Languages
Hardening Your AI Agent Against Prompt Injection via MCP
dev.toยท4dยท
Discuss: DEV
๐Ÿ”„Subinterpreters
Potential issues in curl found using AI assisted tools
dev.toยท1dยท
Discuss: DEV
๐Ÿ›ก๏ธError Ergonomics
The foundation of "streams" in Node.js [NodeBook]
thenodebook.comยท8hยท
Discuss: r/node
โฑ๏ธReal-Time GC
AWS Certified Machine Learning Engineer Core Concepts
dev.toยท15hยท
Discuss: DEV
๐ŸŒฑMinimal ML
Self-Evolving Vision-Language Models for Image Quality Assessment via Voting and Ranking
arxiv.orgยท4d
๐ŸŽฒProperty Testing
BloomAPR: A Bloom's Taxonomy-based Framework for Assessing the Capabilities of LLM-Powered APR Solutions
arxiv.orgยท4d
๐Ÿ”ML Language
Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs
arxiv.orgยท3d
๐ŸชœRecursive Descent