JIT vs. AOT Compilation in Java: A Comparative Analysis with Benchmarks
dev.to·2d·
Discuss: DEV
Interpreter Optimization
Add blog post about reaching 92% test coverage with GitAuto
gitauto.ai·11h·
Discuss: Hacker News
JIT Optimizations
How parallelizing your builds can slow them down
thefridaydeploy.substack.com·5h·
Discuss: Substack
📋Task Queues
simplicity • Pragmatic Dave Thomas & Sarah Taraporewalla
buzzsprout.com·1h·
Discuss: r/programming
🎮Language Ergonomics
Profiling Your Code: 5 Tips to Significantly Boost Performance
usenix.org·17h
📈Performance Tools
Context Engineering Tips for ClaudeCode: Context Trimming, Sub-agents, Parallelism
reddit.com·7h·
Discuss: r/ClaudeAI
Effect Handlers
Will clean code principles remain relevant in the AI era?
dev.to·7h·
Discuss: DEV
🎭Program Synthesis
The Bit Shift Paradox: How "Optimizing" Can Make Code 6× Slower
hackernoon.com·2d
Interpreter Optimization
Legend-state: High performance state and local first sync
legendapp.com·9h·
Discuss: Hacker News
🌊Reactive Languages
Stop-Guessing-Start-Measuring-A-Pragmatic-Guide-to-Web-Performance
dev.to·2d·
Discuss: DEV
🌪️V8 TurboFan
AsyncSpade: Efficient Test-Time Scaling with Asynchronous Sparse Decoding
arxiv.org·15h
📋JSON Parsing
Completing urgent fixes anywhere with GitHub Copilot coding agent and mobile
github.blog·2d
🚂Cranelift Backend
Boosting Unit Test Automation at Audible with Amazon Q Developer
aws.amazon.com·11m
Live Coding
Yes, Python is Slow, but it doesn't matter for AI SaaS
fastro.ai·1d·
Discuss: Hacker News
📋JSON Parsing
My War with AI Agents: When 1000-Line Prompts Met Reality
xor01.substack.com·1d·
Discuss: DEV
🎭Program Synthesis
Building a Scalable QA Automation Strategy: The 90-Day Roadmap
codemeetscapital.bearblog.dev·3h
🗑️Dead Code
Multi-Core By Default
rfleury.com·17h·
🔀SIMD Programming
Git GUI Tools - Simplifying Version Control for Test Engineers
jignect.tech·9h·
Discuss: DEV
🐛Interactive Debuggers
What features would you like to see in future updates?
hackaday.io·10h·
Discuss: r/embedded
🌉Language Bridges