Best AI Code Refactoring Tools in New Zealand

Windsurf is a cutting-edge IDE designed for developers to maintain focus and productivity through AI-driven assistance. At the heart of the platform is Cascade, an intelligent agent that not only fixes bugs and errors but also anticipates potential issues before they arise. With built-in features for real-time code previews, automatic linting, and seamless integrations with popular tools like GitHub and Slack, Windsurf streamlines the development process. Developers can also benefit from memory tracking, which helps Cascade recall past work, and smart suggestions that enhance code optimization. Windsurf’s unique capabilities ensure that developers can work faster and smarter, reducing onboarding time and accelerating project delivery.

Qodo, formerly Codium, analyzes your code to find bugs before you release. Qodo maps the behaviors of your code, identifies edge cases and tags anything suspicious. It then generates meaningful and clear unit tests that match the behavior of your code. You can see how your code behaves and how changes to your code affect the rest of the code. Code coverage is broken. Meaningful tests check functionality and give you the confidence to commit. Spend less time writing questionable tests and more time developing features that are useful to your users. Qodo analyzes your code, docstring and comments to suggest tests as you type. You only need to add them to your suite. Qodo focuses on code integrity. It generates tests that help you understand your code, find edge cases and suspicious behavior; and make your code more robust.

Amp is a next-generation coding agent engineered for developers working at the frontier of software development. It brings powerful AI agents directly into the terminal and code editors, allowing engineers to build, refactor, review, and explore large codebases with minimal friction. Unlike simple code assistants, Amp operates agentically, running subagents, managing context, and making coordinated changes across dozens of files. It supports multiple state-of-the-art models and continuously evolves with frequent updates, new agents, and performance improvements. Features like agentic code review, clickable diagrams, fast search subagents, and context-aware analysis make Amp feel like a true engineering partner rather than a chat tool. By reducing manual overhead and increasing leverage, Amp enables teams to focus on higher-level design and problem solving. The result is faster iteration, cleaner architectures, and more ambitious builds.

Tabnine is the AI coding assistant that you control — helping development teams of every size use AI to accelerate and simplify the software development process without sacrificing privacy, security, or compliance. Tabnine boosts engineering velocity, code quality, and developer happiness by automating the coding workflow through AI tools customized to your team. Tabnine is trusted by more than 1,000,000 developers across thousands of organizations. Tabnine offers best-in-class AI code completion and an AI-powered chat and supports numerous use cases such as code generation, explanation of code, creating unit tests, generating documentation, debugging code, refactoring and maintaining code. Tabnine is integrated with all the major IDEs such as VS Code, JetBrains, Visual Studio, Eclipse. It supports over 80 programming languages and frameworks including JavaScript, TypeScript, Python, Java, C, C++, C#, Go, Php, Ruby, Kotlin, Dart, Rust, React/Vue, HTML 5, CSS, Lua, Perl, YAML, Cuda, SQL, Scala, Shell (bash), Swift, R, Julia, VB, Groovy, Matlab, Terraform, ABAP and more.

K.Explorer is an AI system that creates better software faster, cheaper, and more efficiently. A coding assistant that increases developer productivity. An AI pair programmer that suggests code completions and complete function bodies as you type. You can also search the engine for help. It is an AI-powered Code Assistant that has been trained on millions of lines of code from private corporations, as well as billions of lines of open-source code for general purposes. Natural Language allows programmers to receive guidance and tell a text story about what code they are writing.

Introducing CodeGeeX, a powerful multilingual code generation model boasting 13 billion parameters, which has been pre-trained on an extensive code corpus covering over 20 programming languages. Leveraging the capabilities of CodeGeeX, we have created a VS Code extension (search 'CodeGeeX' in the Extension Marketplace) designed to support programming in various languages. In addition to its proficiency in multilingual code generation and translation, CodeGeeX can serve as a personalized programming assistant through its few-shot learning capability. This means that by providing a handful of examples as prompts, CodeGeeX can mimic the showcased patterns and produce code that aligns with those examples. This functionality enables the implementation of exciting features such as code explanation, summarization, and generation tailored to specific coding styles. For instance, users can input code snippets reflecting their unique style, and CodeGeeX will generate similar code accordingly. Moreover, experimenting with different prompt formats can further inspire CodeGeeX to develop new coding skills and enhance its versatility. Thus, CodeGeeX stands out as a versatile tool for developers looking to streamline their coding processes.

BLACKBOX AI is a powerful AI-driven platform that revolutionizes software development by providing a fully integrated AI Coding Agent with unique features such as voice interaction, direct GPU access, and remote parallel task processing. It simplifies complex coding tasks by converting Figma designs into production-ready code and transforming images into web apps with minimal manual effort. The platform supports seamless screen sharing within popular IDEs like VSCode, enhancing developer collaboration. Users can manage GitHub repositories remotely, running coding tasks entirely in the cloud for scalability and efficiency. BLACKBOX AI also enables app development with embedded PDF context, allowing the AI agent to understand and build around complex document data. Its image generation and editing tools offer creative flexibility alongside development features. The platform supports mobile device access, ensuring developers can work from anywhere. BLACKBOX AI aims to speed up the entire development lifecycle with automation and AI-enhanced workflows.

GoCodeo is a comprehensive AI platform for developers that accelerates coding, testing, and debugging processes. The platform integrates with VS Code to offer real-time assistance, from generating code snippets to automatically creating unit tests. GoCodeo’s AI-driven tools also provide debugging insights, enabling developers to identify and fix issues faster. With support for multiple programming languages and frameworks, GoCodeo empowers developers to write high-quality, production-ready code with less effort, streamlining development cycles and enhancing efficiency across projects.

Workik's AI code generator is a multifaceted solution that simplifies the software development process by automating tasks such as code generation, debugging, testing, and migration across a range of programming languages and frameworks. It boasts functionalities like rapid code generation, customizable context integration with APIs, libraries, codebases, and database schemas, as well as support for cross-language coding and smooth compatibility with leading EHR systems. Designed with productivity enhancement in mind, Workik seamlessly fits into current workflows, aiming for minimal disruption during implementation. Furthermore, Workik adheres to HIPAA regulations, ensuring that patient information is protected with top-tier security protocols. Users have the ability to pre-define the AI engine's context and behavior, tailoring its responses to align with their unique programming style, database design, and specific project requirements. Additionally, the context-setting capability enables developers to incorporate their existing codebase context, allowing them to continue development without losing momentum. This innovative approach not only increases efficiency but also fosters a more cohesive development environment.

Safurai, an AI-based IDE extension, is designed to aid developers by speeding up coding and debugging, documentation, and many other tasks. It acts as a virtual assistant and provides solutions and suggestions for any problems that may arise during software development. Safurai allows developers to improve their workflow and code quality. This makes the development process more efficient. 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.

Transform your inquiries into code effortlessly while having the capability to store and retrieve your snippets with ease. Collaborate seamlessly with your team, leveraging the power of ChatGPT alongside our optimized GPT-3 model. Enhance your comprehension of coding concepts to expand your skillset. Improve the quality of your programming through our advanced refactoring and debugging tools. Share your code snippets securely with your team while preserving their formatting. Our integration of ChatGPT and the refined GPT-3 model ensures quicker and more precise answers to your queries compared to traditional Codex applications. Generate documentation, refactor, debug, and create code with just a single click. With our specialized VSCode extension, you can effortlessly save code directly from your IDE to your personal library. Organize your snippets by language, name, or folder, and customize your folder structure to match your preferences. Overall, our platform utilizes ChatGPT and our fine-tuned GPT-3 model to deliver unmatched speed and accuracy in response to your coding questions. Additionally, our user-friendly interface simplifies your coding experience, allowing for a more productive workflow.

Refact.ai is an advanced AI-powered assistant that integrates directly into your IDE, offering intelligent code completion, real-time code suggestions, and automatic refactoring to streamline the coding process. By using the AI model trained on your codebase, Refact.ai adapts to your team's style, providing highly relevant recommendations to enhance productivity. Developers can also fine-tune the assistant to better suit their unique requirements, making it a powerful tool for personalized coding assistance. With support for all major IDEs and secure on-premise deployment, Refact.ai empowers developers to increase code quality, reduce time spent on manual tasks, and achieve faster results.

Cody is an advanced AI coding assistant developed by Sourcegraph to enhance the efficiency and quality of software development. It integrates seamlessly with popular Integrated Development Environments (IDEs) such as VS Code, Visual Studio, Eclipse, and various JetBrains IDEs, providing features like AI-driven chat, code autocompletion, and inline editing without altering existing workflows. Designed to support enterprises, Cody emphasizes consistency and quality across entire codebases by utilizing comprehensive context and shared prompts. It also extends its contextual understanding beyond code by integrating with tools like Notion, Linear, and Prometheus, thereby gathering a holistic view of the development environment. By leveraging the latest Large Language Models (LLMs), including Claude Sonnet 4 and GPT-4o, Cody offers tailored assistance that can be optimized for specific use cases, balancing speed and performance. Developers have reported significant productivity gains, with some noting time savings of approximately 5-6 hours per week and a doubling of coding speed when using Cody.

Fine is an innovative platform driven by artificial intelligence, aimed at supporting startups by automating various tasks in the software development lifecycle. This platform provides a variety of AI agent workflows that facilitate coding, debugging, testing, and code review, enabling teams to release daily updates and expedite the resolution of pull requests. Fine has the capability to independently generate and apply code, perform pull request assessments, create tests, and manage typical challenges without the need for constant oversight from human developers. It integrates smoothly with GitHub and is designed to accommodate asynchronous collaboration, making it an ideal choice for dynamic startup environments. Additionally, Fine offers real-time feedback and live previews, which not only enhance productivity but also optimize the overall development workflow. By leveraging such advanced features, teams can focus more on strategic tasks while the platform handles routine operations efficiently.

DeepCode AI serves as the foundation of Snyk code, making it the quickest and most precise Static Application Security Testing (SAST) solution available. By harnessing DeepCode AI within the Snyk platform, which leverages various AI models and is honed using data focused on security, Snyk provides users with the advantages of artificial intelligence while mitigating potential downsides. Supporting 11 programming languages, DeepCode AI is crafted to identify and remediate vulnerabilities, as well as address technical debt effectively. This innovative AI also facilitates Snyk's one-click security solutions and extensive application coverage, empowering developers to build swiftly while maintaining robust security measures. Developed and continuously improved by expert researchers, DeepCode AI relies on millions of open-source projects for its training, ensuring no customer data is utilized. Ultimately, DeepCode AI employs a hybrid strategy with multiple models and specialized training sets, all aimed at enhancing application security. This commitment to innovation ensures that developers can confidently deploy applications without compromising safety.

Fynix serves as an AI-driven platform aimed at enhancing software development efficiency by providing smart coding assistance and agent-based code reviews. This tool seamlessly integrates with widely used IDEs such as VS Code, offering features like context-aware autocomplete, natural language inputs for code corrections and translations, along with automatic visualizations of code flow. The Code Assistant feature of Fynix enables developers to produce cleaner and more efficient code at an accelerated pace, and the forthcoming Code Quality Agent promises to streamline bug detection while upholding coding standards. Supporting a variety of programming languages and frameworks, and compatible with tools like Jira, Fynix proves to be a flexible solution for fostering improved coding practices and team collaboration. As developers strive for excellence in their coding endeavors, Fynix stands out as an essential ally in the software development landscape.

Solver represents a groundbreaking advancement in elastic engineering APIs, purposefully created to fully automate a wide range of programming responsibilities. This innovative tool allows software developers to delegate repetitive and laborious coding tasks, thus enabling them to devote more time to the imaginative aspects of their projects. Solver autonomously manages complex, multi-step processes, continuously enhancing its capabilities by interpreting external documentation and adjusting to the requirements of each project. It integrates effortlessly with existing integrated development environments through a cloud-based API, which means there’s no need to adopt a new system. By utilizing repository-based reasoning, it allows cutting-edge generative AI to interact directly with Git repositories, streamlining workflow efficiencies. Originating from the talented team that developed Siri and Viv, Solver upholds rigorous engineering standards, expanding the potential of AI in the realm of software development. Its scalability allows it to refine its operations as it progresses, and it is capable of executing tasks such as detecting security vulnerabilities and improving code, all while delivering results at a speed that often surpasses that of human teams. In essence, Solver not only enhances productivity but also reshapes the future landscape of coding practices.

Artemis employs Generative AI, collaborative multi-agent systems, genetic optimization techniques, and contextual insights to effectively analyze, enhance, and validate codebases on a large scale, converting current repositories into production-ready solutions that elevate performance, minimize technical debt, and guarantee high-quality results for enterprises. By integrating effortlessly with your existing tools and repositories, it utilizes sophisticated indexing and scoring methods to identify optimization possibilities, coordinates various LLMs along with proprietary algorithms to create customized enhancements, and conducts real-time validation and benchmarking to ensure secure and scalable outcomes. Furthermore, a modular Intelligence Engine supports extensions for profiling and security tools, machine learning models aimed at detecting anomalies, and a comprehensive evaluation suite for thorough testing, all meticulously crafted to reduce costs, stimulate innovation, and speed up time-to-market while maintaining smooth operational workflows. This comprehensive approach not only streamlines processes but also empowers teams to focus on strategic development efforts.

AWS Transform is an innovative AI service offered by Amazon Web Services that facilitates the rapid modernization of outdated workloads, particularly those associated with .NET, mainframe systems, and VMware setups. Leveraging AWS's extensive experience in migration and modernization, this service utilizes specialized AI agents to perform a variety of tasks, including assessment, code analysis, dependency mapping, refactoring, decomposition, validation, and planning, all of which can occur simultaneously to enhance the efficiency of large-scale transformations. Teams from different disciplines can work together and oversee modernization projects from start to finish using a collaborative workspace and a natural-language chat interface. According to AWS, AWS Transform can accelerate the porting of .NET applications by up to four times, significantly hasten VMware configuration conversion, and shorten mainframe migration timelines from years to mere months. Furthermore, this service aims to lower costs associated with legacy licensing, infrastructure, and ongoing maintenance, making it a valuable tool for organizations looking to streamline their operations. Overall, AWS Transform appears to be a comprehensive solution that not only simplifies the modernization process but also enhances collaboration among teams.

Legacy Assembler code can be dense, costly to maintain, and reliant on a shrinking talent pool. But modernization doesn't have to be a painful, high-risk process. We partner with you to make the transition seamless. Rocket® Assembler Code Refactoring™ automatically restructures your complex legacy code into modern languages like COBOL, C, or Java—or structured pseudocode—without changing how your applications behave. - Eliminate conversion risk: Our fully automated engine uses mathematically guaranteed logic equivalence, so your refactored code performs exactly like the original. - Accelerate your timeline: Drastically speed up modernization projects with secure, auditable transformations that help prevent costly outages. - Empower your team: Shift away from relying on hard-to-find specialists and make your core systems easier to maintain for the future. Transform your legacy systems with total confidence. Contact us to start your secure modernization journey today.