Alternatives to Cline

JetBrains Junie is an innovative AI coding assistant that works inside many JetBrains IDEs to streamline programming efforts and boost efficiency. This agent leverages advanced AI to help developers write, test, and inspect code without leaving their familiar development environment. Junie offers both code execution and interactive collaboration, allowing programmers to switch between automated code writing and brainstorming sessions for features and improvements. By deeply understanding the codebase, Junie identifies the best ways to tackle tasks and ensures all changes meet quality standards through syntax and semantic checks. It also runs tests to minimize errors and keep the project healthy, freeing developers from routine tasks. Many developers have successfully built complex applications and games using Junie, highlighting its flexibility across different languages and frameworks. The AI adapts to each task’s complexity and workflow, making coding less tedious and more focused on creativity. Whether you are building a simple web app or a complex game, Junie offers smart support throughout the development cycle.

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.

Enhance the speed and efficiency of software development and delivery by leveraging generative AI support, all while ensuring robust enterprise security and privacy safeguards. Gemini Code Assist streamlines your coding process by completing your code as you type and can generate entire code blocks or functions upon request. This powerful code assistance tool is compatible with a variety of popular integrated development environments (IDEs) like Visual Studio Code and JetBrains IDEs (including IntelliJ, PyCharm, GoLand, and WebStorm), as well as Cloud Workstations and Cloud Shell Editor, supporting over 20 programming languages such as Java, JavaScript, Python, C, C++, Go, PHP, and SQL. Utilizing a natural language chat interface, you can easily interact with Gemini Code Assist to obtain solutions to your coding queries or gain insights into coding best practices, with chat functionality accessible across all supported IDEs. Organizations have the flexibility to tailor Gemini Code Assist by integrating their private codebases and knowledge repositories, enabling the tool to provide more personalized assistance that aligns with specific enterprise needs. Furthermore, Gemini Code Assist has the capability to facilitate extensive modifications across entire codebases, thereby optimizing the development workflow significantly. This adaptability not only boosts productivity but also empowers teams to innovate more rapidly in a secure environment.

Amp is a next-generation AI-powered coding assistant created by Sourcegraph to transform how software is developed by individuals and teams alike. Powered by cutting-edge models, Amp delivers production-ready code changes by autonomously reasoning through tasks and executing complex edits. It integrates smoothly into existing developer workflows through CLI and VS Code extensions, making it accessible without additional user interface overhead. The tool encourages collaboration by default, allowing teams to share code threads, context, and best practices, which drives continuous improvement and adoption. Designed to support everything from solo developers to large-scale enterprises, Amp ensures security and compliance with features like enterprise single sign-on and zero retention of large language model data. The product’s quality focus sets it apart, delivering results that users describe as faster and more reliable than alternatives. Amp’s community of engineers and creators actively share feedback to refine the tool, supported by extensive documentation and podcasts. Its mission is to accelerate software building while maintaining high-quality outcomes.

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.

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.

Claude Code by Anthropic brings agentic AI development to your terminal, transforming how teams work with large and complex codebases. It connects natively to GitHub, GitLab, and local environments, giving developers the power to search, explain, and edit code with simple prompts. Claude Code can onboard new developers by mapping entire repositories, explaining architectures, and summarizing dependencies within seconds. It also automates tedious workflows—such as issue triage, refactoring, testing, and PR submission—by turning them into single-command actions. With support for models like Claude 3.5 Sonnet and Claude 3 Opus, it delivers contextual reasoning and multi-file understanding unmatched by typical copilots. Its agentic command-line interface makes it feel like an intelligent collaborator embedded in your workflow. Integration is simple: install it via npm and start coding at “thought speed.” Claude Code helps teams move from concept to commit effortlessly, combining the familiarity of the terminal with the intelligence of Claude.

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.

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.

GitHub Copilot represents the next evolution of intelligent software development, combining AI-driven coding, collaboration, and automation in a single ecosystem. It seamlessly integrates with GitHub and leading IDEs, transforming natural language prompts into working code, tests, and documentation. The new Agent Mode allows developers to delegate tasks—Copilot autonomously writes, executes, and validates code using GitHub Actions, delivering ready-to-review pull requests. Developers can interact through Copilot Chat, switch between models like GPT-5, Claude Sonnet 4, and Gemini 2.0 Flash, and refine results with contextual feedback. Next Edit Suggestions and automated code review ensure project-wide consistency, helping teams catch bugs before they reach production. With Copilot Spaces, teams can organize shared context—code, notes, and knowledge—to produce tailored, high-quality results. Available in Free, Pro, and Pro+ plans, Copilot scales from individuals to enterprises with flexible model access and premium capabilities. Ultimately, GitHub Copilot transforms development from manual iteration to AI-augmented collaboration, enabling engineers to focus on innovation instead of boilerplate.

Void is a fork of VS Code that serves as an open-source AI code editor and an alternative to Cursor, designed to give developers enhanced AI support while ensuring complete data control. It facilitates smooth integration with various large language models, including DeepSeek, Llama, Qwen, Gemini, Claude, and Grok, allowing direct connections without relying on a private backend. Among its core functionalities are tab-triggered autocomplete, an inline quick edit feature, and a dynamic AI chat interface that supports standard chat, a restricted gather mode for read/search-only tasks, and an agent mode that automates operations involving files, folders, terminal commands, and MCP tools. Furthermore, Void provides exceptional performance capabilities, including rapid file application for documents containing thousands of lines, comprehensive checkpoint management for model updates, native tool execution, and the detection of lint errors. Developers can effortlessly migrate their themes, keybindings, and settings from VS Code with a single click and choose to host models either locally or in the cloud. This unique combination of features makes Void an attractive option for developers seeking powerful coding tools while maintaining data sovereignty.

opencode brings AI-driven development directly into the terminal with a sleek, native TUI that adapts to your preferred theme and style. Its LSP-enabled architecture automatically detects and configures the best tools for each language, ensuring seamless coding assistance across stacks. Unlike typical agents, opencode is designed for true multi-session workflows, allowing multiple agents to run in parallel on the same project without conflict. Developers can instantly generate shareable links from their sessions, making debugging and collaboration smoother than ever. With support for Claude Pro, Claude Max, and over 75 different LLM providers through Models.dev—including local models—opencode offers unmatched flexibility. Installation is simple across npm, Bun, Homebrew, and Paru, giving developers fast access no matter their setup. Beyond the terminal, opencode integrates with VS Code and GitHub, extending AI power across familiar environments. For coders who want speed, flexibility, and direct control in their workflows, opencode is the definitive AI agent for the command line.

bolt.diy is an open-source platform that empowers developers to effortlessly create, run, modify, and deploy comprehensive web applications utilizing a variety of large language models (LLMs). It encompasses a diverse selection of models, such as OpenAI, Anthropic, Ollama, OpenRouter, Gemini, LMStudio, Mistral, xAI, HuggingFace, DeepSeek, and Groq. The platform facilitates smooth integration via the Vercel AI SDK, enabling users to tailor and enhance their applications with their preferred LLMs. With an intuitive user interface, bolt.diy streamlines AI development workflows, making it an excellent resource for both experimentation and production-ready solutions. Furthermore, its versatility ensures that developers of all skill levels can harness the power of AI in their projects efficiently.

Amazon Q Developer is an advanced AI assistant built for professional developers, combining coding intelligence with deep AWS expertise. It’s designed to handle every stage of development—from writing and refactoring code to performing upgrades and automating documentation. Integrated with major IDEs and the AWS Management Console, it empowers developers to code faster and operate smarter using secure, context-aware assistance. Its agentic automation can autonomously implement features, test applications, and perform large-scale migrations like .NET to Linux or Java 8 to Java 17 in minutes. Developers can chat directly with Amazon Q inside Slack, Microsoft Teams, GitHub, and GitLab, where it provides architectural recommendations and incident resolution guidance. The tool also supports CLI autocompletions and AWS resource management to streamline workflows from the terminal to the cloud. Offering enterprise-grade access controls and IAM integration, it ensures that organizational data and permissions remain protected. Available on the AWS Free Tier, Amazon Q Developer enables up to 50 monthly AI interactions and 1,000 lines of code transformation at no cost, helping teams start building smarter right away.

The leading open-source AI assistant. You can create custom autocomplete experiences and chats by connecting any models to any context. Remove the barriers that hinder productivity when developing software to remain in flow. Accelerate your development with a plug and play system that is easy to use and integrates into your entire stack. Set up your code assistant so that it can evolve with new capabilities. Continue autocompletes entire sections of code or single lines in any programming languages as you type. Ask questions about files, functions, the entire codebase and more by attaching code or context. Highlight code sections, then press the keyboard shortcut to convert code into natural language.

Bolt.new is an innovative web development tool powered by AI, enabling users to create, run, modify, and deploy comprehensive applications straight from their browsers without any local installation necessary. This platform also supports package installation, backend operation, and code editing capabilities. Designed to cater to a wide range of users—including seasoned developers, project managers, and designers—Bolt.new simplifies the process of building high-quality, full-stack applications. Getting started with Bolt.new comes at no cost, and for those seeking additional AI tokens or wishing to work on private projects, a paid subscription is available for purchase within the settings located at the bottom left corner of the application. Additionally, the user-friendly interface makes it accessible for anyone looking to enhance their development experience.

Aider enables collaborative programming with LLMs, allowing you to modify code within your local git repository seamlessly. You can initiate a new project or enhance an existing git repository with ease. Aider is optimized for use with models like GPT-4o and Claude 3.5 Sonnet, and it can interface with nearly any LLM available. Additionally, Aider has achieved impressive results on the SWE Bench, a rigorous software engineering benchmark that evaluates the ability to resolve actual GitHub issues from well-known open-source projects such as Django, Scikit-learn, and Matplotlib, among others. This capability makes Aider a valuable tool for developers looking to improve their coding efficiency and tackle complex challenges in software development.

Crush is a sophisticated AI coding assistant that resides directly in your terminal, effortlessly linking your tools, code, and workflows with any large language model (LLM) you prefer. It features versatility in model selection, allowing you to pick from a range of LLMs or integrate your own through OpenAI or Anthropic-compatible APIs, and it facilitates mid-session transitions between these models while maintaining contextual integrity. Designed for session-based functionality, Crush supports multiple project-specific contexts operating simultaneously. Enhanced by Language Server Protocol (LSP) improvements, it offers coding-aware context similar to what developers find in their preferred editors. This tool is highly customizable, utilizing Model Context Protocol (MCP) plugins via HTTP, stdio, or SSE to expand its capabilities. Crush can be executed on any platform, utilizing Charm’s elegant Bubble Tea-based TUI to provide a refined terminal user experience. Developed in Go and distributed under the MIT license (with FSL-1.1 for trademark considerations), Crush empowers developers to remain in their terminal while benefiting from advanced AI coding support, thereby streamlining their workflow like never before. Its innovative design not only enhances productivity but also encourages a seamless integration of AI into everyday coding practices.

Devin is an advanced software development assistant powered by AI, created to work in tandem with engineering teams to streamline and enhance coding processes. It assists with various tasks such as initiating repositories, coding, debugging errors, and executing migrations, functioning either independently or in collaboration with human developers. Over time, Devin improves its efficiency by learning from provided examples. Its implementation has resulted in substantial time and financial savings on extensive projects, exemplified by its use at Nubank, where it achieved migration speeds 8 to 12 times faster and cut costs by more than 20 times. Additionally, Devin excels in both refactoring code and automating repetitive engineering tasks, making it an invaluable tool for developers looking to optimize their workflow. Its ability to continuously adapt ensures that it remains an essential asset in the ever-evolving landscape of software development.

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.

Kiro is an advanced integrated development environment powered by artificial intelligence, designed to streamline AI-driven programming by transforming natural-language instructions into structured requirements, system architectures, and specific implementation tasks that undergo thorough testing. Created specifically for autonomous workflows, it offers features such as specification-based development, multimodal communication, and "agent hooks" that activate background tasks during events like file saving, alongside an autopilot mode that takes charge of executing lengthy scripts while keeping the user engaged. By effectively managing context, Kiro minimizes repetitive tasks and simplifies the integration of complex functionalities within extensive codebases. Its built-in integrations with MCP allow seamless connections to documentation, databases, and APIs, and users can influence the development process using visual aids like UI designs or architecture blueprints. With a strong focus on enterprise-level security and privacy, Kiro guarantees safe deployment, while compatibility with Claude Sonnet models, Open VSX plugins, and existing VS Code configurations ensures an intuitive and AI-enhanced experience. Additionally, the platform continuously evolves, adapting to user feedback and emerging technologies to maintain its position at the forefront of software development tools.

Kilo Code serves as an open-source AI agent extension designed for Visual Studio Code, aimed at boosting coding productivity through code generation, task automation, and smart suggestions. Among its most notable features are the ability to generate code from natural language inputs, automated refactoring for enhancing current codebases, intelligent code completion that provides insightful suggestions while you work, and automation of repetitive coding tasks to streamline your workflow. To begin using Kilo Code, simply install the extension from the VS Code Marketplace, log in with your Google Account to access complimentary Claude 3.7 Sonnet credits, and start your coding journey. With these capabilities, Kilo Code not only simplifies the coding process but also empowers developers to focus on more complex and creative tasks.

Roo Code, which was previously recognized as Roo Cline, is an autonomous coding agent powered by artificial intelligence and integrated within Visual Studio Code to boost the efficiency of software development. This tool enables users to interact in natural language, which simplifies the processes of code generation, refactoring, debugging, and documentation updates. It possesses the ability to directly read and write files in the workspace, run terminal commands, and automate actions in web browsers. Compatible with any OpenAI-compatible or custom models and APIs, Roo Code offers a variety of customizable modes, such as Code Mode for routine coding tasks, Architect Mode for designing systems, Ask Mode for posing questions, Debug Mode for resolving issues, and user-defined Custom Modes tailored for specific tasks. Additionally, it incorporates the Model Context Protocol (MCP), which broadens its functionality by allowing integration with various external tools and APIs, thus enhancing its versatility in diverse development environments. This comprehensive range of features positions Roo Code as a valuable asset for developers seeking to streamline their workflow and improve productivity.

Kodu is an innovative platform driven by AI that empowers individuals to conceptualize, prototype, and create software applications without requiring extensive coding skills. Its standout feature is Claude Code, an extension for VSCode that integrates agentic coding functionalities directly into the editor: this tool can autonomously generate code, analyze changes it implements, convert pasted images or mockups into operational user interfaces, and execute command-line instructions all within a chat interface. In addition, Kodu provides Kodu Engineer, a voice-activated assistant that allows users to articulate their project ideas in everyday language while observing the real-time development of their application through screen sharing and immediate deployment. The platform operates on its proprietary "Kodu Cloud" inference API, utilizing a "rateless" model connection that enables users to efficiently prototype and enhance applications. Furthermore, Kodu's seamless workflow bridges the gap between ideation, design, and production, streamlining the transition from mockup to fully operational app with minimal obstacles or delays. This comprehensive approach not only simplifies the development process but also encourages creativity and innovation among users.

Stock Market GPT equips investors and traders with cutting-edge AI tools designed to enhance decision-making processes. It allows users to maximize stock analysis efficiency, effortlessly compare any public companies, and uncover superior investment opportunities in mere seconds using our AI-driven platform. Let our stock market AI handle the intricate tasks involved in your investment research, freeing you to focus on strategy. We have developed an exceptional AI-powered Pine Script code generator for traders, enabling the creation of personalized strategies with just a single click. Additionally, our advanced AI-powered chart analysis tool offers trade ideas, technical analysis, and a wealth of other resources through the Chart GPT Extension, accessible with one simple click. Stock Market GPT is built on a state-of-the-art AI model, which provides unlimited access to advanced AI capabilities, comprehensive research on any publicly traded company worldwide, the most recent financial data, and prioritized support. Experience how AI can elevate your research efforts and significantly improve your investment outcomes. With our innovative tools, you're not just keeping up with the market; you're staying ahead of it.

RA.Aid is an open-source AI assistant that streamlines research, planning, and execution to accelerate software development workflows. Utilizing LangGraph's agent-based task management structure, RA.Aid functions through a three-tier architecture. It is compatible with various AI providers, such as Anthropic's Claude, OpenAI, OpenRouter, and Gemini, giving users the flexibility to choose models that align with their specific needs. Furthermore, the assistant incorporates web research functionalities, allowing it to gather current information from the internet to improve its task performance and understanding. Users can engage with the agent through an interactive chat mode, which makes it easy to pose questions or redirect tasks as desired. In addition, RA.Aid can work in conjunction with 'aider' by using the '--use-aider' command, which enhances its code editing capabilities. It is also equipped with a human-in-the-loop feature, allowing the agent to request user input during task execution to achieve greater precision. By combining automation with human oversight, RA.Aid aims to create a more effective development experience for users.

TRAE redefines the future of software engineering as a fully autonomous AI coding platform that helps developers understand, execute, and deliver projects end-to-end. Acting as a “10x AI Engineer,” TRAE can design architectures, generate complex code, debug in real time, and handle deployment—all within a single environment. The platform’s SOLO mode enables responsive, independent development powered by contextual understanding of repositories, documents, and live browser interactions. With MCP (Model Context Protocol), TRAE agents intelligently pull in external tools and resources when needed, streamlining the workflow without manual configuration. Developers can even create and customize agent teams for specialized tasks, defining unique skill sets and logic for each. TRAE also includes CUE, a predictive feature that anticipates your next edit with a single keystroke for lightning-fast coding. Built with a “local-first” privacy model, it ensures sensitive code stays secure with encrypted data handling and regional deployment compliance. Loved globally by developers for its speed, UI design, and real-time intelligence, TRAE is fast becoming the IDE of choice for modern software builders.

Traycer is a cutting-edge AI-powered tool that revolutionizes software development by emphasizing planning before coding through spec-driven development. It transforms high-level objectives into structured, coherent plans that can be iterated upon and refined to ensure alignment with the actual codebase. Developers can spin up multiple parallel agents to work concurrently, significantly accelerating complex projects. Traycer integrates with major AI coding assistants such as Claude Code, Windsurf, and Cursor, enabling users to plan in Traycer and execute code generation in their preferred tools seamlessly. The platform is highly regarded by engineers and technical founders for handling intricate tasks, improving understanding, and maintaining robust code quality. Pricing options include a free tier suitable for hobbyists and scalable paid plans with increased capacity and enhanced features. Traycer also offers a 14-day pro trial for users to experience the full capabilities of the platform. With SOC2 Type 2 certification and GDPR compliance, Traycer ensures data security and privacy.

Goose, also referred to as codename goose, is an open-source AI agent that operates locally on machines, designed to facilitate the automation of engineering tasks within a terminal or integrated development environment (IDE). By efficiently performing functions such as code creation, debugging, and deployment, it allows developers to shift their focus towards more complex problem-solving activities. Its flexible architecture supports customization with various large language models (LLMs) and the integration of external APIs, which broadens its functionality to meet the unique demands of different projects. By taking on intricate tasks autonomously, Goose simplifies the development workflow, thereby enhancing overall productivity and minimizing the need for manual intervention. Users have expressed appreciation for Goose's capabilities in managing responsibilities like dependency updates, test execution, and code migration automation, underscoring its usefulness in practical scenarios. Furthermore, as the landscape of software development evolves, tools like Goose are becoming increasingly vital for maintaining efficiency in a fast-paced environment.

SuperAGI SuperCoder is an innovative open-source autonomous platform that merges an AI-driven development environment with AI agents, facilitating fully autonomous software creation, beginning with the Python language and its frameworks. The latest iteration, SuperCoder 2.0, utilizes large language models and a Large Action Model (LAM) that has been specially fine-tuned for Python code generation, achieving remarkable accuracy in one-shot or few-shot coding scenarios, surpassing benchmarks like SWE-bench and Codebench. As a self-sufficient system, SuperCoder 2.0 incorporates tailored software guardrails specific to development frameworks, initially focusing on Flask and Django, while also utilizing SuperAGI’s Generally Intelligent Developer Agents to construct intricate real-world software solutions. Moreover, SuperCoder 2.0 offers deep integration with popular tools in the developer ecosystem, including Jira, GitHub or GitLab, Jenkins, and cloud-based QA solutions like BrowserStack and Selenium, ensuring a streamlined and efficient software development process. By combining cutting-edge technology with practical software engineering needs, SuperCoder 2.0 aims to redefine the landscape of automated software development.

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.

Cosine is capable of grasping both broad concepts and intricate details to deliver answers that surpass human capabilities. We are more than just a layer over an LLM; our approach integrates various methods such as static analysis and semantic search among others. Just pose a question to Cosine about adding a new feature or altering existing code, and we will produce a comprehensive step-by-step guide. Cosine meticulously indexes your codebase, comprehending it on various dimensions; from the relationships among files and functions to an in-depth semantic analysis of the code, ensuring that any inquiry regarding your codebase can be addressed. Genie stands out as the leading AI software engineer, boasting an impressive 30% evaluation score on the widely recognized SWE-Bench benchmark. It excels at debugging, feature development, and code refactoring, performing these tasks either completely independently or in collaboration with the user, creating a partnership akin to working alongside a colleague rather than merely acting as a copilot. Essentially, both Cosine and Genie redefine the standards of what AI can achieve in software engineering.

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.

Cursor is an AI-native integrated development environment (IDE) engineered to transform how software is written, reviewed, and deployed. Trusted by millions of professional developers, it merges human creativity with machine intelligence through features like Agent, a fully autonomous collaborator that turns ideas into executable code, and Tab, an adaptive autocompletion system that predicts your next move with precision. Cursor’s deep codebase indexing allows it to instantly understand large and complex repositories, enabling smart search, refactoring, and context-aware suggestions across files. With multi-model flexibility, developers can choose from leading AI models—OpenAI’s GPT-5, Anthropic’s Claude 4.5, Google’s Gemini 2.5, or xAI’s Grok Code—to match specific performance and reasoning needs. Cursor integrates effortlessly into existing workflows, acting as a teammate in GitHub, Slack, and other key tools. Its interface balances autonomy and control, letting users decide whether to perform quick edits, plan-mode changes, or let the agent operate end-to-end. Designed for individual creators and large enterprises alike, Cursor improves velocity, reduces cognitive load, and enhances collaboration across distributed teams. It’s more than an editor—it’s the next frontier in developer productivity.

Explore the AI Pair Programming extension designed for VSCode, enabling you to craft your own AI Copilots using the Playground and launch innovative AI applications through the API. Harness the potential of personalized AI agents by integrating tailored context and knowledge applicable to various programming languages. Train your AI Copilot effortlessly with your own files in the Playground, allowing you to create and share a Copilot in a mere five minutes, or develop custom AI solutions seamlessly via the API. This free extension for VS Code enhances your coding experience with a chat assistant and code completion features; simply download it, input your API key, and start coding with AI at no cost. This upgraded solution empowers users to create AI agents enriched with specific contextual information, enabling you to design bespoke AI copilots that can be integrated anywhere. The API connection simplifies the development of AI-driven applications by managing the intricacies of fine-tuning large language models, allowing you to concentrate on creativity rather than technical challenges. With these tools at your disposal, you can redefine your programming workflow and push the boundaries of what's possible in software development.

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.

Codex CLI is a powerful open-source AI tool that runs in your command line interface (CLI), offering developers an intuitive way to automate coding tasks and improve code quality. By pairing Codex CLI with your terminal, developers gain access to AI-driven code generation, debugging, and editing capabilities. It enables users to write, modify, and understand their code more efficiently with real-time suggestions, all while working directly in the terminal without switching between tools. Codex CLI supports a seamless coding experience, empowering developers to focus more on building and less on managing tedious coding processes.

Introducing Otto Engineer, an innovative AI companion that autonomously tests and refines its own code until it functions flawlessly. This advanced agent elevates the realm of AI-assisted programming, executing its code while simultaneously verifying its accuracy. In the event of any discrepancies, Otto persistently iterates to resolve issues until the code is error-free. Constructed on web containers, Otto operates as a runtime environment for executing Node.js and operating system commands, entirely within the browser, utilizing a virtual, in-memory file system. With the convenience of running in the browser, users simply initiate a new chat to engage Otto, observing its capability to execute commands and modify code through an integrated terminal and code editor. Otto is adept at installing and utilizing npm packages, adjusting its TypeScript configuration, and generating its own tests, ensuring a seamless coding experience. By harnessing Otto, developers can finally eliminate the frustration of encountering non-functional, fabricated code. Embrace the future of coding with Otto, your reliable AI coding partner.

Gemini CLI is an open-source command line interface that brings the full power of Gemini’s AI models into developers’ terminals, offering a seamless and direct way to interact with AI. Designed for efficiency and flexibility, it enables coding assistance, content generation, problem solving, and task management all through natural language commands. Developers using Gemini CLI get access to Gemini 2.5 Pro with a generous free tier of 60 requests per minute and 1,000 daily requests, supporting both individual users and professional teams with scalable paid plans. The platform incorporates tools like Google Search integration for dynamic context, Model Context Protocol (MCP) support, and prompt customization to tailor AI behavior. It is fully open source under Apache 2.0, encouraging community input and transparency around security. Gemini CLI can be embedded into existing workflows and automated via non-interactive script invocation. This combination of features elevates the command line from a basic tool to an AI-empowered workspace. Gemini CLI aims to make advanced AI capabilities accessible, customizable, and powerful for developers everywhere.

Plandex is an open source, terminal-based AI coding engine designed to assist users in efficiently completing extensive tasks, navigating around suboptimal outputs, and enhancing overall productivity. By utilizing long-running agents, it manages tasks that may involve multiple files and intricate procedures. The engine systematically divides larger assignments into manageable subtasks, executing each sequentially until the entire project is accomplished. This tool is particularly useful for tackling backlogs, exploring unfamiliar technologies, overcoming obstacles, and minimizing time spent on tedious tasks. Additionally, all modifications are stored in a secure sandbox environment, enabling you to review changes before they are automatically applied to your project files. With integrated version control, reverting to previous iterations and experimenting with different methodologies is straightforward. Furthermore, the branching feature allows users to explore various approaches simultaneously and assess their outcomes for better decision-making. By streamlining the coding process, Plandex empowers developers to focus on creative problem-solving rather than mundane details.

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.

CodeNext.ai is an innovative AI-driven coding assistant tailored for Xcode developers, featuring advanced context-aware code completion alongside interactive chat capabilities. It is compatible with numerous top-tier AI models, such as OpenAI, Azure OpenAI, Google AI, Mistral, Anthropic, Deepseek, Ollama, and others, allowing developers the convenience to select and switch models according to their preferences. The tool offers smart, instant code suggestions as you type, significantly boosting productivity and coding effectiveness. Additionally, its chat functionality empowers developers to communicate in natural language for tasks like writing code, debugging, refactoring, and executing various coding operations within or outside the codebase. CodeNext.ai also incorporates custom chat plugins, facilitating the execution of terminal commands and shortcuts right within the chat interface, thereby optimizing the overall development process. Ultimately, this sophisticated assistant not only simplifies coding tasks but also enhances collaboration and streamlines the workflow for developers.

The SWE-agent is a sophisticated AI-driven platform that automates a variety of tasks, including addressing GitHub issues, conducting cybersecurity operations such as Capture The Flag (CTF) challenges, and tackling coding problems. Utilizing advanced language models like GPT-4 or Claude, it operates within isolated computing environments to perform tasks independently, delivering customizable solutions tailored for developers and cybersecurity experts. This versatile tool caters to numerous applications, ranging from enhancing software repositories to detecting vulnerabilities and executing specialized tasks. Crafted by a collaboration of researchers from Princeton and Stanford University, SWE-agent exemplifies the integration of machine learning with effective problem-solving in the realms of software development and cybersecurity. With its innovative features, it represents a significant advancement in automating complex workflows for professionals in these fields.

Introducing MarsCode: an advanced AI development tool designed for immediate use. This innovative platform features an 'out-of-the-box cloud AI IDE' and a 'robust AI assistant,' making it an essential resource for developers seeking to enhance their learning and streamline their workflow. Among its standout features are: 1. A cloud-based AI IDE that frees developers from the limitations of specific devices and locations. 2. Integration options for local IDEs, which infuse traditional development practices with cutting-edge AI capabilities. 3. A suite of tools for code completion, bug fixing, and optimization, offering intelligent support throughout the entire coding journey. 4. An intelligent Q&A feature at the repository level, enabling developers to concentrate on their tasks with greater ease. 5. Versatile deployment support for various types of applications, including websites, AI plugins, and APIs, catering to a broad range of development needs. With MarsCode, developers not only gain access to powerful tools but also experience a newfound level of productivity and efficiency in their projects.

We are convinced that agentic technology holds significant value that should not be monopolized by a small number of corporations. Therefore, we are developing all our agents transparently on GitHub, utilizing the MIT license for open accessibility. Capable of performing any task a human developer can, our agents write code, execute commands, and access the web effectively. To ensure a harmonious blend of innovation and safety, we are collaborating with AI safety experts such as Invariant Labs. A vast community of developers is uniting to shape the AI-driven future they envision. Additionally, our agents are designed to be compatible with any provider of large language models, enhancing their versatility and reach. This commitment to openness and collaboration is paving the way for a more equitable technological landscape.