🦀 Rust Macros - hello · Scour

Macros, which create macro calls, which call macros, which call macros to call your macros with data from other macros. 🏭Code Generation

codeberg.org·2d·r/rust

[Rust Guide] 5.2. Struct Usage Example - Printing Debug Information 📦Serde

doc.rust-lang.org·6d·DEV

Using Claude Code with Local LLM Models: The Complete Guide 🦙Ollama

jonathansblog.co.uk·13h

I tried Karpathy's LLM Wiki pattern on my AWS consulting work 🔧DevOps

dev.to·21h·DEV

A perfectable programming language 🔨Compiler Design

news.ycombinator.com·1d·Hacker News

Automating Database-Native Function Code Synthesis with LLMs 📋LLVM TableGen

arxiv.org·5d

A Role-Based Workflow to Supercharge AI Coding — A Tool-Agnostic Design Philosophy 🎭Program Synthesis

norinori1-web-site.vercel.app·1d·DEV

Why More Code Doesn’t Necessarily Mean More Progress 🔨Incremental Compilation

hackernoon.com·2d

DDD Bounded Contexts: Clear Domain Boundaries for LLM Code Generation 🌳Tree-sitter

understandingdata.com·5d·Hacker News

How to make Firefox builds1 17% faster2 🔨Incremental Compilation

blog.farre.se·4d·Lobsters, Hacker News

How Many Tries Does It Take? Iterative Self-Repair in LLM Code Generation Across Model Scales and Benchmarks 🔧LLVM IR Optimization

arxiv.org·17h

DeepGuard: Secure Code Generation via Multi-Layer Semantic Aggregation 🐛Fuzzing

arxiv.org·1d

When LLMs Lag Behind: Knowledge Conflicts from Evolving APIs in Code Generation 🚀MLOps

arxiv.org·1d

Compiled AI: Deterministic Code Generation for LLM-Based Workflow Automation 🎭Program Synthesis

arxiv.org·6d

Vision-Guided Iterative Refinement for Frontend Code Generation 🎨Creative Coding

arxiv.org·6d

ZeroCoder: Can LLMs Improve Code Generation Without Ground-Truth Supervision? 📊Profile-Guided Optimization

arxiv.org·4d

Compact Constraint Encoding for LLM Code Generation: An Empirical Study of Token Economics and Constraint Compliance 📊Profile-Guided Optimization

arxiv.org·5d

An Iterative Test-and-Repair Framework for Competitive Code Generation 🧬Mutation Testing

arxiv.org·6d

Planning to Explore: Curiosity-Driven Planning for LLM Test Generation 💬Prompt Engineering

arxiv.org·6d

Babbling Suppression: Making LLMs Greener One Token at a Time 📦Folly

arxiv.org·5d

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