Best AI Code Refactoring Tools in China

A state-of-the-art AI that builds better software, cheaper and faster. K.Explorer is an AI powered Code Assistant trained on many millions of private corporate lines of code, for specific domains, and on billions of public and open-source lines of code for general purposes. Its code auto-completion features suggest code completions and entire function bodies as you type or as you search the engine for help. To make development faster and more agile it even supports Natural Language for programmers to get guidance while telling a text story about the code they want to write.

We introduce CodeGeeX, a large-scale multilingual code generation model with 13 billion parameters, pre-trained on a large code corpus of more than 20 programming languages. Based on CodeGeeX, we develop a VS Code extension (search 'CodeGeeX' in the Extension Marketplace) that assists the programming of different programming languages. Besides the multilingual code generation/translation abilities, we turn CodeGeeX into a custom programming assistant using its few-shot ability. It means that when a few examples are provided as extra prompts in the input, CodeGeeX will imitate what are done by these examples and generate codes accordingly. Some cool features can be implemented using this ability, like code explanation, summarization, generation with specific coding style, and more. For example, one can add code snippets with his/her own coding style, and CodeGeeX will generate codes in a similar way. You can also try prompts with specific formats to inspire CodeGeeX for new skills.

​Workik's AI code generator is a versatile tool that streamlines software development by automating code generation, debugging, testing, and migration across various programming languages and frameworks. It offers features such as instant code generation, customizable context integration (like APIs, libraries, codebases, and database schemas), cross-language code support, and seamless integration with popular EHR systems. Designed to enhance productivity, Workik integrates effortlessly with existing workflows, ensuring minimal disruption. Workik is HIPAA-compliant, safeguarding patient data with industry-leading security measures. ​Workik allows you to pre-define the context and behavior of the AI engine. You can customize the AI's responses based on your programming style, database architecture, and project-specific needs. Workik's context-setting feature allows users to add their existing codebase context and continue their development.

DeepSource is an AI-powered code review platform designed to help development teams maintain high-quality, secure, and reliable code. The platform automates code reviews using a hybrid approach that combines static analysis with advanced AI agents. It integrates directly with development workflows through platforms like GitHub, GitLab, Bitbucket, and Azure DevOps. DeepSource analyzes pull requests in real time, identifying bugs, security vulnerabilities, code complexity issues, and maintainability risks before code reaches production. The system provides structured feedback and inline comments to help developers quickly understand and resolve issues. Additional features such as secrets detection, dependency vulnerability scanning, and infrastructure-as-code review strengthen application security. By automating repetitive review tasks and providing intelligent insights, DeepSource enables teams to ship software faster while maintaining strong code quality standards.

Safurai is an AI-based IDE extension designed to assist developers by speeding up coding, debugging, refactoring, documentation and many more tasks. It acts as a virtual assistant, providing solutions and suggestions for any issues that may arise during the software development process. With Safurai, developers can improve their workflow and code quality, making the development process more efficient and streamlined. Safurai AI is made up of a set of non-proprietary Large Language Models optimized for programming and performing all the functions. The models we use are trained with synthetic data only, we do not retain or reuse user codebase data for model improvement purposes. For Safurai, "Transparency" is not only a vogue word. We care a lot about transparency.

DeepCode AI has always been the backbone of Snyk code, which is why it's the fastest, most accurate SAST on the market. DeepCode AI, powering the Snyk platform, utilizes multiple AI models, is trained on security-specific data, and is all curated by top security researchers to give you all the power of AI without any of the drawbacks. With 11 supported languages, and multiple AI models, Snyk's DeepCode AI was designed to find and fix vulnerabilities and manage tech debt. DeepCode AI powers Snyk's one-click security fixes and comprehensive app coverage, letting developers build fast while staying secure. Our specialized DeepCode AI is built and refined by top-tier researchers that use training data from millions of open source projects, never customer data. DeepCode AI's hybrid approach uses multiple models and security-specific training sets for one purpose, to secure applications.

Wing Python IDE was designed from the ground up for Python, to bring you a more productive development experience. Type less and let Wing worry about the details. Get immediate feedback by writing your Python code interactively in the live runtime. Easily navigate code and documentation. Avoid common errors and find problems early with assistance from Wing's deep Python code analysis. Keep code clean with smart refactoring and code quality inspection. Debug any Python code. Inspect debug data and try out bug fixes interactively without restarting your app. Work locally or on a remote host, VM, or container. Wingware's 21 years of Python IDE experience bring you a more Pythonic development environment. Wing was designed from the ground up for Python, written in Python, and is extensible with Python. So you can be more productive.

Artemis leverages Generative AI, multi-agent collaboration, genetic optimization, and contextual insights to analyze, optimize, and validate codebases at scale, transforming existing repositories into production-ready solutions that improve performance, reduce technical debt, and ensure enterprise-quality outcomes. Integrating seamlessly with your tools and repositories, it uses advanced indexing and scoring to pinpoint optimization opportunities, orchestrates multiple LLMs and proprietary algorithms to generate tailored improvements, and performs real-time validation and benchmarking to guarantee secure, scalable results. A modular Intelligence Engine powers extensions for profilers and security tools, ML models for anomaly detection, and an evaluation suite for rigorous testing, all designed to lower costs, boost innovation, and accelerate time-to-market without disrupting existing workflows.

AWS Transform is an agentic AI service from Amazon Web Services that automates and accelerates the modernization of legacy workloads, specifically .NET, mainframe, and VMware environments. Built on AWS’s migration and modernization experience, it deploys specialized AI agents to carry out tasks like assessment, code analysis, dependency mapping, refactoring, decomposition, validation, and planning, many of which run in parallel, to speed up large-scale transformations. Through a shared workspace and natural-language chat interface, cross-functional teams can collaborate, track progress, and manage modernization projects from end to end. AWS claims AWS Transform can make .NET apps port up to 4 times faster, greatly speed VMware configuration conversion, and compress mainframe migration timelines (years down to months), while also helping reduce legacy licensing, infrastructure cost, and ongoing maintenance expenses.

Rocket Assembler Code Refactoring is a specialized modernization solution that automatically restructures legacy Assembler code into structured pseudocode or modern languages such as COBOL, C, or Java without altering external behavior, enabling faster, lower-risk modernization and improved maintainability. Assembler code is notoriously dense, poorly documented, and supported by a shrinking pool of specialists, making maintenance slow, costly, and error-prone; this product addresses those challenges by delivering semantics-preserving, auditable transformations that reduce outages and secure modernization without sacrificing stability. Its fully automated core engine uses mathematically guaranteed logic equivalence to eliminate conversion risk, dramatically accelerating projects while ensuring that refactored outputs are semantically identical to the original code.