🔧 LLVM - blake.rain · Scour

[RFC]: vLLM IR: A Functional Intermediate Representation for vLLM · Issue #32358 ⚙️Assembly Language

github.com·2d·Hacker News

#640, April 6th 2026 📚Compilers

llvmweekly.org·3d

ZeroCoder: Can LLMs Improve Code Generation Without Ground-Truth Supervision? 📚Compilers

arxiv.org·11h

DDD Bounded Contexts: Clear Domain Boundaries for LLM Code Generation 🧩WASM Component Model

understandingdata.com·22h·Hacker News

Devlog ⚡ Incremental compilation with LLVM 📚Compilers

ziggit.dev·2d

What I learned from improving Unity's Mono codegen, part 1 ⚙️Assembly Language

blog.s-schoener.com·3d·Hacker News

Optimising a Pipelined RISC-V Core: From Naive Pipeline to Near-Superscalar Performance ⚙️Assembly Language

mummanajagadeesh.github.io·3d·Lobsters, Hacker News

Mojo Programming Language: Architecture, Performance, and AI Reality ⚙️Systems Programming

krun.pro·3d·DEV

wuwangzhang1216/abliterix: Fully automatic censorship removal for language models. LoRA abliteration + Optuna TPE optimization. 🌐WebAssembly

github.com·2d·r/LocalLLaMA

Current State of LLM-Based Code Generation and Future Directions (2026) [video] 📚Compilers

youtube.com·3d·Hacker News

Triage: Routing Software Engineering Tasks to Cost-Effective LLM Tiers via Code Quality Signals 💻Software Engineering

arxiv.org·11h

I’m building “Grammarly for LLMs” and I need blunt feedback on whether the optimization is actually useful 📚Compilers

prompt-grader.app·6d·r/PromptEngineering, r/SideProject

[RFC] JSIR: A High-Level IR for JavaScript 🌐WebAssembly

discourse.llvm.org·4d·Lobsters, Hacker News, Hacker News, Hacker News

MysticCodingCat/CUDA-Native-HUBO: A GPU-native solver for 3-way combinatorial optimization (HUBO). Achieving digital-annealer-level performance on a single RTX 3060 Ti ⚡Async Runtime Design

github.com·1d·Hacker News

Automating Database-Native Function Code Synthesis with LLMs ⚙️Systems Programming

arxiv.org·1d

Optimization of 32-bit Unsigned Division by Constants on 64-bit Targets ⚙️Assembly Language

arxiv.org·11h

Compiled AI: Deterministic Code Generation for LLM-Based Workflow Automation 📚Compilers

arxiv.org·2d

Compact Constraint Encoding for LLM Code Generation: An Empirical Study of Token Economics and Constraint Compliance 📚Compilers

arxiv.org·1d

Application-Driven Pedagogical Knowledge Optimization of Open-Source LLMs via Reinforcement Learning and Supervised Fine-Tuning 📝Obsidian

arxiv.org·1d

An Iterative Test-and-Repair Framework for Competitive Code Generation ⚡Async Runtime Design

arxiv.org·2d

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