Novel Uses of Core Java for Low-Latency and High-Performance Systems
blog.vanillajava.blog·7h·
Discuss: r/programming
⚙️Language Runtimes
Inlining in the Glasgow Haskell Compiler:Empirical Investigation and Improvement
era.ed.ac.uk·4h·
Discuss: Hacker News
🦀Rust Compiler Internals
Inverse Scaling in Test-Time Compute
lesswrong.com·4h
🧠LLM Inference
PerfInsights: Detecting Performance Optimization Opportunities in Go Code using Generative AI
uber.com·13h
🛠️Build Optimization
Vibecoding a High Performance System
andrewkchan.dev·10h·
Discuss: Hacker News
🛠️Build Optimization
The AI Report Card: Decoding the Benchmark Jungle
pub.towardsai.net·12h
🏆LLM Benchmarking
A Rust library for executing directed acyclic graphs (DAGs) of tasks.
github.com·17h
🦀Rust
Toward Inclusive AI-Driven Development: Exploring Gender Differences in Code Generation Tool Interactions
arxiv.org·22h
💻Programming languages
I wrote 2000 LLM test cases so you don't have to
reddit.com·11h·
Discuss: r/LocalLLaMA
🏆LLM Benchmarking
How To Monitor Single Page Application Performance
debugbear.com·14h
🚀Web Performance
Display Next Hackfest 2025
zamundaaa.github.io·12h
🖥GPUs
Hidden AI Library Prompts
blog.makethingswork.dev·21h
🪄Prompt Engineering
How Meta keeps its AI hardware reliable
engineering.fb.com·8h
🛡️System Reliability
Building a fuzzing testing framework with Locust and Docker
lucas-montes.com·6h·
Discuss: Hacker News
📦Container Runtimes
Largest High-Quality Verilog Dataset for LLM Fine-Tuning (Univ. of Florida)
semiengineering.com·6h
🪨RocksDB
Mixture of Recursions vs. Transformers: Efficiency Unlocked
algogist.com·16h·
Discuss: Hacker News
🧠LLM Inference
A Blueprint for Implementing RAG at Scale
thenewstack.io·11h
🔄LLM RAG Pipelines
Debugging in the Age of AI
idiallo.com·18h
🪄Prompt Engineering
I wrote 2000 LLM test cases so you don't have to: LLM feature compatibility grid
getkiln.ai·11h·
Discuss: Hacker News
🏆LLM Benchmarking
AI On: How Financial Services Companies Use Agentic AI to Enhance Productivity, Efficiency and Security
blogs.nvidia.com·11h
🔍AI Interpretability