Intermediate Representation, Code Generation, Optimization Passes, Compiler Backend

Show HN: Gitvizz – visualize your codebase as interactive dependency graphs
gitvizz.com·2d·
Discuss: Hacker News
📊Call Graphs
Ask HN: How do you handle the gaps between design, product, and engineering?
news.ycombinator.com·19h·
Discuss: Hacker News
🎮Language Ergonomics
Devoxx: Let’s use IntelliJ as a game engine, just because we can by Alexandros Chatzizacharias
youtube.com·1d·
Discuss: DEV
🌱Forth Kernels
System 1 Programming
hydrick.net·1d·
Discuss: Hacker News
📚Self-Documenting Code
New AI training method creates powerful software agents with just 78 examples
venturebeat.com·2d
🎭Program Synthesis
Fee, Fls, flash, dflash
reddit.com·15h·
Discuss: r/embedded
🧠Memory Models
3+ years on my first commercial Godot game with unique architecture
reddit.com·22h·
Discuss: r/godot
🪞Metaprogramming
🚀 Reddit Search MCP Server - AI-Powered Reddit Integration for LLMs
reddit.com·1d·
Discuss: r/opensource
🌲Tree-sitter
PUL-Inter-slice Defender: An Anomaly Detection Solution for Distributed Slice Mobility Attacks
arxiv.org·2d
📏Linear Memory
NLD: M1 SFT-40 6500K plus some insight
reddit.com·1d·
Discuss: r/flashlight
💪ARM64 Backend
Built a fullstack AI Agent using only JavaScript/TypeScript with MCP integration and Human-in-the-loop
reddit.com·1d·
Discuss: r/webdev
Gleam
How do you guys learn coding? Im frustrated that I had to use AI
reddit.com·11h·
Discuss: r/godot
🌙Lua
My 2025 Summer Retrospective: A Guide to AI-Powered, Cloud-Native Java with Quarkus
dev.to·1d·
Discuss: DEV
🌉Language Bridges
Hardening Your AI Agent Against Prompt Injection via MCP
dev.to·4d·
Discuss: DEV
🔄Subinterpreters
Potential issues in curl found using AI assisted tools
dev.to·2d·
Discuss: DEV
🛡️Error Ergonomics
The foundation of "streams" in Node.js [NodeBook]
thenodebook.com·16h·
Discuss: r/node
⏱️Real-Time GC
Self-Evolving Vision-Language Models for Image Quality Assessment via Voting and Ranking
arxiv.org·4d
🎲Property Testing
BloomAPR: A Bloom's Taxonomy-based Framework for Assessing the Capabilities of LLM-Powered APR Solutions
arxiv.org·4d
🔍ML Language
Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs
arxiv.org·3d
🪜Recursive Descent