⚙️ JIT Compilation - hello · Scour

Building CompilerSutra 🔨Compiler Design

docs.google.com·9h·DEV·

Distributed builds of LLVM with CMake,recc, and NativeLin 🔨LLVM

reidkleckner.dev·2d·Hacker News·

Code generation that just works 🎭Program Synthesis

maryrosecook.com·6d·

WybeCoder: Verified Imperative Code Generation 🏗️Pavex

arxiv.org·1d·

C++20 Coroutines Optimization Opportunities from Compiler’s perspective 🔗GCC Link-Time Optimization

chuanqixu9.github.io·6d·r/cpp·

#639, March 30th 2026 🏗️MLIR

llvmweekly.org·2d·

Swift Concurrency Explained: Actors, Executors, and Reentrancy 🔄Concurrency

hackernoon.com·1d·

ReCUBE Benchmark Reveals GPT-5 Scores Only 37.6% on Repository-Level Code Generation 📊Criterion.rs

gentic.news·3d·DEV·

Beyond the README: Enforcing Application Guardrails at Runtime 📚Stack Unwinding

lackofimagination.org·2d·r/programming·

xtellect/cactus: Work-stealing parallel recursion runtime for C 🔀Crossbeam

github.com·6d·Hacker News·

Using Perfetto in ZJIT 📈Perfetto SDK

bernsteinbear.com·6d·

Distributed builds of LLVM with CMake, recc, and NativeLink 🎆Firecracker

reidkleckner.dev·2d·Lobsters·

BACE: LLM-based Code Generation through Bayesian Anchored Co-Evolution of Code and Test Populations 📊Profile-Guided Optimization

arxiv.org·2d·

How to Build Traceable AI Workflows With Retry and DLQ Visibility 💬Prompt Engineering

hackernoon.com·5d·

A Node Optimization Idea: Solving GC Bottlenecks Under Concurrency 🎴TAO

github.com·6d·r/node·

Logging Like Humans for LLMs: Rethinking Logging via Execution and Runtime Feedback 📝Tracing Subscriber

arxiv.org·1d·

Self-Improving Code Generation via Semantic Entropy and Behavioral Consensus 🎭Program Synthesis

arxiv.org·1d·

SAGAI-MID: A Generative AI-Driven Middleware for Dynamic Runtime Interoperability 🏗️Pavex

arxiv.org·2d·

Think Anywhere in Code Generation 🏭Code Generation

arxiv.org·1d·

ATLAS-RTC: Closing the Loop on LLM Agent Output with Token-Level Runtime Control 🦙Ollama

arxiv.org·2d·

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