Show HN: CodexLocal – Offline, Privacy-First AI Coding Tutor (WebLLM and RAG)
codexlocal.com·16h·
Discuss: Hacker News
📚Self-Documenting Code
Hypernetworks: Neural Networks for Hierarchical Data
sturdystatistics.com·1d
🪜Recursive Descent
We built a CUDA emulator that profiles GPU code with zero hardware
rightnowai.co·1d·
Discuss: Hacker News
🏗️Custom Allocators
How to Perform Effective Agentic Context Engineering
towardsdatascience.com·1d
⚡Effect Handlers
Beginner to NAS...Build Advice?
preview.redd.it·16h·
Discuss: r/homelab
🌳B+ Trees
Pre-certified (RED/FCC) RFID/NFC modules
reddit.com·1d·
Discuss: r/embedded
📡Network Serialization
LLM Optimization Notes: Memory, Compute and Inference Techniques
gaurigupta19.github.io·1d·
Discuss: Hacker News
🗺️Region Inference
Reviving Lost Tongues: AI-Powered Grammar for Language Preservation
dev.to·10h·
Discuss: DEV
🔍Parsing Algorithms
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·6h·
Discuss: DEV
📐Standard ML
I built a secure OPNsense firewall, and you can too with this incredible Prime Day deal
xda-developers.com·20h
📏Linear Memory
Open Agent Specification (Agent Spec): A Unified Representation for AI Agents
github.com·16h·
Discuss: Hacker News
🧱WASM Components
expressjs/express
github.com·2d
🔮Metacircular Evaluators
Can I justify C for everything?
reddit.com·8h·
Discuss: r/C_Programming
🪄C Metaprogramming
PoLi-RL: A Point-to-List Reinforcement Learning Framework for Conditional Semantic Textual Similarity
arxiv.org·1d
🌳Parser Visualization
UAE: Cisco unveils unified software stack for distributed Quantum computing, networking
zawya.com·1d
📡Protocol Stacks
Build Your First (or Next) MCP Server with the TypeScript MCP Template
dev.to·1d·
Discuss: DEV
📦Monorepos
Entanglemons: Cross-platform protected qubits from entanglement
arxiv.org·1d
🔍Lens Libraries
P2P: A Poison-to-Poison Remedy for Reliable Backdoor Defense in LLMs
arxiv.org·1d
🎲Parser Fuzzing
You-Might-Not-Need-WebSockets-The-Simple-Power-of-Server-Sent-Events
dev.to·3d·
Discuss: DEV
🌍HTTP Servers
MaNGO - Adaptable Graph Network Simulators via Meta-Learning
arxiv.org·7h
🪜Recursive Descent