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🚀 JIT Compilation
Dynamic Optimization, Tracing, Speculative Execution, Hotspot Detection
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Ruby Executes JIT Code: The Hidden Mechanics Behind the Magic
railsatscale.com
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The Rise of Async Programming
braintrust.dev
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18h
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Developer Ergonomics
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Performance Improvements in .NET 10
devblogs.microsoft.com
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1d
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Systems Performance
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Dissecting Batching Effects in GPT Inference
le.qun.ch
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Improving state machine code generation
trifectatech.org
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Writing effective tools for LLM agents–using LLM agents
anthropic.com
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An Inline Cache Isn't Just a Cache
mgaudet.ca
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WebAssembly
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Open-Sourcing Starlark Worker: Define Cadence Workflows with Starlark
uber.com
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16h
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Karate – Test Automation Made Simple
karatelabs.github.io
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WebAssembly
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Ripple: An LLVM compiler-interpreted API to support SPMD and loop annotat
discourse.llvm.org
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AI Coding at a Crossroads: Disposable Code Editors and Flawed Benchmarks
kevinkuipers.substack.com
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Designing software architecture for parallel AI sessions
rashidazarang.com
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Coco – Solving the Expression Problem in Standard OO (Java, C#, Scala, ..)
drops.dagstuhl.de
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19h
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Type Systems
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DeepCodeBench: Real-World Codebase Understanding by Q&A Benchmarking
qodo.ai
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20h
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Show HN: An open source Vercel/Render alternative for Python apps
github.com
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VMScape: Exploiting Incomplete Branch Predictor Isolation in Cloud Environments
comsec.ethz.ch
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1h
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OS
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Speculative cascades — A hybrid approach for smarter, faster LLM inference
research.google
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8h
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Automating multi-language SDK doc generation with testable code snippets
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Accelerated Game of Life with CUDA / Triton
boristhebrave.com
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9h
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The Compounding Effect of Version Control Performance
diversion.dev
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18h
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