Effective Software Engineering with Claude Code
reddit.com·6h·
Discuss: r/ClaudeAI
Interpreter Optimization
Smarter, faster, leaner: Optimizing the end-to-end supply chain
scmr.com·1h
🎯Ring Buffers
The future of microoptimization
goldenstack.net·2d·
Discuss: Hacker News
🔬Nanopasses
I Asked Kiro to Understand My Verilog Codebase — It Built Me an AI-Powered EDA Assistant
dev.to·22h·
Discuss: DEV
🩺Compiler Diagnostics
Identifying Divergences in HW Designs For High Performance Computing Workloads (LBNL et al.)
semiengineering.com·2h
Performance
Greyscale-box test-driven development
blog.ploeh.dk·10m
🧪Compiler Testing
Symmetric MultiProcessing, Hyper-Threading and scheduling on Maestro
blog.lenot.re·11h
Instruction Fusion
Productive AI Programming Using Forced Context Distillation
jx0.ca·6h·
Discuss: Hacker News
💬Interactive REPLs
LLMs on a Shoestring: The Dynamic Cache Advantage by Arvind Sundararajan
dev.to·9h·
Discuss: DEV
💾Cache Algorithms
Crashes are loud. Leaks are quiet.
blog.bitdrift.io·19h
🧠Memory Ordering
Building an IoT Product – The Product(ion) Feedback Loop (2021)
medium.com·2h·
Discuss: Hacker News
🔌Microcontrollers
[CS 2881r AI Safety] [Week 1] Introduction
lesswrong.com·22h
🏰Capability Machines
An AI-Powered Development Workflow for Solo Builders
spin.atomicobject.com·7h
Live Coding
Logic's Hidden States: Unlock Debugging Superpowers with Algebraic Thinking by Arvind Sundararajan
dev.to·6h·
Discuss: DEV
🧮Theorem Provers
A (Nearly) Branchless RESP Request Parser
kevinmontrose.com·7h
🔧Error Recovery
Unsloth : The Secret Weapon for Faster Machine Learning Models
geeky-gadgets.com·11h
🔄Go Scheduler
Autoscaling Insights: What Nearly A Decade Of Autoscaling Your Apps Has Revealed To Us
judoscale.com·19h
📮Message Queues
Building Gitcom: How Kiro's AI Pair-Programmer Helped Me Ship My First Kiro/VS Code Extension
github.com·9h·
Discuss: DEV
🪞Metaprogramming
Automated Batch Process Optimization via Dynamic Reinforcement Learning and Hyperdimensional Data Fusion
dev.to·1d·
Discuss: DEV
Partial Evaluation
Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality
arxiv.org·15h
🎮Language Ergonomics