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OpenRewrite 的 recipes 正从 Maven Central 迁移到 Code Genome Project,开发者需通过新的安装方式加载 rewrite-core、rewrite-java 等最新模块。
Gemini 4 Argon tops the Val Index, completing agentic tasks at half the cost of Opus 5.5, and Google's Chrome team used it to refactor around 6 million lines of legacy code out of a 40-million-line codebase, eliminating an entire category of browser crashes.
Introduces SWE-Bench ProMax, a multilingual code refactoring benchmark of 170 instances across 7 programming languages to evaluate AI coding agents. Frontier models achieve only 41.2% resolve rate, confirming it as a challenging and unsaturated benchmark.
A detailed comparison of 11 LLMs on refactoring a LangGraph god node, including proposals, evaluations, and analysis of which models perform best as generators and evaluators.
A user reports that the AI model 'Le Chaton Fat' refactored their entire codebase in a single call, involving 25 tool invocations, generating over 3,000 new lines across 12 new files, and successfully modularizing and cleaning up the code.
This paper presents RECENT, a framework that enables efficient skill grounding in embodied agents using small language models (sLMs) by refactoring code-based skills rather than regenerating them from scratch, achieving performance comparable to LLM-based methods.
M3 achieves solid benchmark scores but impresses with its ability to perform risk assessment and pre-mortem analysis before making code changes, highlighting a more cautious and thorough approach to refactoring in messy legacy repos.
Explains how Claude Code's /goal command enables autonomous multi-turn task completion with model-verified exit conditions, dramatically reducing the need for manual 'continue' prompts during large refactors or feature implementations.
Mi is a minimal, zero-config CLI agent designed to automatically fix bugs and refactor code.
Virgin Atlantic used OpenAI Codex to significantly accelerate database migration and code refactoring, reducing the codebase size by approximately 78-80%, achieving zero project delays, and improving test coverage and system performance, demonstrating the great potential of AI tools in enterprise infrastructure upgrades.