🏭 Code Generation - hello · Scour

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

arxiv.org·6d

Macros, which create macro calls, which call macros, which call macros to call your macros with data from other macros. 🦀Rust Macros

codeberg.org·2d·r/rust

MSVC Build Tools Version 14.51 Release Candidate Now Available 🏗️Cranelift

devblogs.microsoft.com·14h

Generate tool-specific AI config files from shared templates 🦀Rust Macros

github.com·2d·Hacker News

Beyond the Hype: Building a Practical AI-Powered Codebase Assistant 🔧Abseil

gist.github.com·5d·DEV

What embedded language would you implement in Zig projects? ⚙️Zig

ziggit.dev·6d

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

understandingdata.com·5d·Hacker News

SLM Finetuning for Natural Language to Domain Specific Code Generation in Production 🌳Tree-sitter

arxiv.org·18h

UIPress: Bringing Optical Token Compression to UI-to-Code Generation 🗜️Columnar Compression

arxiv.org·1d

AdverMCTS: Combating Pseudo-Correctness in Code Generation via Adversarial Monte Carlo Tree Search 🔓Binary Exploitation

arxiv.org·18h

Houseofmvps/codesight: Universal AI context generator. Saves thousands of tokens per conversation in Claude Code, Cursor, Copilot, Codex, and more. 🏗️Pavex

github.com·6d·r/ClaudeAI

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

arxiv.org·18h

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

arxiv.org·1d

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

arxiv.org·5d

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

arxiv.org·6d

Arch: An AI-Native Hardware Description Language for Register-Transfer Clocked Hardware Design 🎲Hardware Branch Prediction

arxiv.org·6d

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

arxiv.org·6d

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

arxiv.org·5d

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

arxiv.org·4d

Models as Values in a Model Expression Algebra: A Functional Approach to Model Driven Engineering ✅Model Checking

arxiv.org·6d