Best AI Coding Agents for Gemini

Google AI Studio is an all-in-one platform aimed at empowering users to create AI-driven applications using vibe coding. By entering a straightforward prompt, developers can produce fully functional applications featuring sophisticated AI functionalities. The platform seamlessly incorporates Gemini capabilities, such as image manipulation, video assessment, and context-based searches, wherever appropriate. With Build Mode, the hassle of setup is eliminated, allowing creators to concentrate on their ideas rather than the underlying technology. Users have the option to modify apps from a shared gallery or initiate new projects from the ground up. Deployment is made effortless through Cloud Run, enabling one-click publishing. Applications can be quickly shared for collaboration or input. The app generator is enhanced by Gemini 3 Pro Preview, which brings advanced coding and reasoning skills, facilitating swift AI prototyping and exploration. Google AI Studio champions vibe coding as the quickest route from initial idea to operational AI applications.

Retool is a modern AI-native application development platform designed to help teams build internal software quickly and efficiently. It enables users to create agents, workflows, dashboards, and full-stack apps using natural language prompts and visual tools. Retool connects directly to databases, APIs, vector stores, and AI models to ensure applications work seamlessly with existing systems. The platform allows teams to transform raw data into actionable tools such as dashboards, admin panels, and monitoring systems. With drag-and-drop UI building, code-level customization, and AI-assisted generation, Retool supports multiple development styles. Built-in workflows automate complex processes while maintaining auditability and security. Retool fits naturally into standard engineering stacks with support for CI/CD and version control. Enterprise-grade permissions and hosting options ensure sensitive data stays protected. Used by thousands of companies worldwide, Retool helps teams ship AI-powered software faster. It bridges the gap between idea and production with speed and control.

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.

Lovable empowers users to create interactive web applications effortlessly by simply using natural language. Describe your idea, and the platform transforms it into fully functional, visually appealing web apps in minutes. Developers and non-developers alike can leverage its intuitive interface to build applications while retaining the flexibility to let humans take over and customize the code at any time. With built-in version control through Git and seamless GitHub synchronization, collaboration and code management become hassle-free. The platform also supports one-click deployment, allowing you to bring your app to life instantly. By combining AI-driven development with robust customization options, Lovable offers an ideal solution for creating and deploying web apps efficiently and effectively.

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.

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.

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.

You.com, an AI-powered search tool, is designed to offer a more personalized browsing experience. You.com, unlike traditional search engines gives users more control over their search results and allows them to customize their preferences. It uses advanced artificial intelligence for precise answers, summaries and actionable insights. This is often based on trusted sources and real-time information. You.com, which places a high priority on privacy, does not track user behavior. This makes it a popular choice for users who want a secure, ad free, and customizable search experience. Its unique interface supports productivity with app-like integrations that allow for tasks such as coding, writing and exploring creative content.

Firebase Studio is a next-generation development workspace that utilizes AI to streamline the development of web and mobile applications. Powered by Gemini, the platform helps developers write, debug, and optimize code with AI-driven assistance, enabling faster project completion. With tools for app prototyping, integration with popular code repositories, and the ability to deploy directly to Firebase Hosting or custom infrastructure, Firebase Studio provides a seamless, efficient development environment. It also features full-stack testing, monitoring, and deployment functionalities to ensure developers can deploy apps with confidence.

omp (oh my pi) is an AI coding agent platform designed to give developers a fully integrated environment for software development, debugging, automation, and collaboration. Built as an enhanced evolution of the Pi coding harness, it connects AI models directly to language servers, debuggers, shells, browsers, memory systems, GitHub repositories, and local development tools without relying on separate plugins or external workflows. The platform supports more than 40 AI providers, allowing developers to switch between frontier models, coding plans, local models, and self-hosted AI services from a unified interface. omp includes advanced capabilities such as structural code editing, intelligent code review, persistent Python and JavaScript execution, browser automation, workflow orchestration, subagents, and collaborative live coding sessions. Developers can debug applications using integrated DAP support, perform semantic code analysis through LSP integration, and automate complex development tasks with specialized built-in tools. Its local memory system allows the agent to retain project knowledge across sessions while maintaining developer control over stored information. omp also introduces innovations such as hash-based code editing, deterministic context compaction, time-traveling stream rules, and content-aware retrieval that improve AI coding accuracy while reducing token usage. Built on a native Rust engine with support for Windows, macOS, and Linux, the platform emphasizes speed, low overhead, and deep integration with local development environments. As an MIT-licensed open-source project, omp gives developers an extensible AI coding platform that can be customized, audited, and expanded to match their own engineering workflows.

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.

Codey is a desktop AI platform that serves as a local command center for software development, intelligent automation, and AI-powered productivity. Running directly on a user's machine, it allows developers to build applications while keeping projects, source code, and workflows under their own control. The platform supports more than 70 AI providers, including Claude, OpenAI, Gemini, OpenRouter, and local models, allowing users to work with the AI services they already use. Codey includes a team of specialized AI agents that divide responsibilities across coding, planning, research, codebase exploration, and supporting tasks to improve development efficiency. Its Autopilot mode uses the Matis agent to transform application ideas into production-ready Next.js web applications with polished user interfaces. Workpilot extends the platform beyond coding by handling documents, spreadsheets, presentations, PDFs, browser tasks, file management, and n8n automation workflows. Developers can choose between collaborative AI assistance through Co-Pilot, fully automated development with Autopilot, or productivity-focused automation with Workpilot. The local-first architecture gives users greater privacy while maintaining flexibility to choose cloud or local AI models. Codey provides a unified environment where developers can build software, automate business tasks, and orchestrate multiple AI agents without leaving their desktop.

Cline is an open-source AI coding agent built to assist developers with software development tasks across IDEs, command-line environments, and embedded applications. The platform enables developers to analyze codebases, perform coordinated multi-file edits, execute terminal commands, automate workflows, and manage large refactoring projects from a unified agent runtime. Cline supports leading AI providers including Claude, OpenAI, Gemini, DeepSeek, Mistral, Ollama, AWS Bedrock, Azure, Vertex AI, and any OpenAI-compatible endpoint, allowing teams to choose the models that best fit their infrastructure and budget. Its Plan-and-Act workflow allows developers to review execution strategies before the agent begins making code changes, while optional auto-approval enables more autonomous operation when appropriate. Developers can customize behavior using repository-specific rules, reusable skills, MCP servers, plugins, and SDK extensions that integrate databases, APIs, infrastructure, and internal tools. Cline also supports bash execution, live command monitoring, coordinated code changes, automated linting, checkpoints, diffs, and one-click undo capabilities throughout development workflows. Multi-agent orchestration enables specialized AI agents to collaborate on larger engineering tasks while scheduled jobs can automate recurring maintenance and quality assurance activities. Integration with Slack, Discord, Linear, GitHub Actions, GitLab, and other developer platforms allows Cline to participate throughout the software delivery lifecycle. By combining open-source flexibility, broad model compatibility, and powerful automation features, Cline helps engineering teams accelerate software development without sacrificing control or transparency.

Devika is an innovative open-source AI software engineer that interprets high-level commands, dissects them into actionable steps, gathers pertinent information, and writes code to achieve specified goals. By leveraging advanced language models, reasoning techniques, and browsing functionalities, Devika effectively aids in software development, handling intricate coding challenges with little human oversight. The platform is compatible with various programming languages and boasts essential features such as sophisticated AI planning, contextual keyword identification, and real-time agent monitoring. With the intention of becoming a formidable competitor to proprietary AI solutions, Devika presents a bold, open-source alternative for developers seeking versatile support in their projects. Ultimately, it seeks to empower programmers by streamlining the coding process and enhancing productivity.

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.

Nanobrowser is an innovative AI-driven web automation tool that allows users to run multiple AI agents in their browser for complex workflows. By providing support for a variety of LLM providers, such as OpenAI and Anthropic, it ensures flexibility in task automation while maintaining privacy, as all data processing occurs locally. Nanobrowser is open-source and completely free to use, offering a cost-effective alternative to more expensive platforms like OpenAI Operator. The multi-agent system can automate repetitive tasks, and the platform’s intuitive interface offers real-time updates, making it ideal for efficient web automation.

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 3 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.

Qoder is a sophisticated coding platform designed specifically for genuine software development, surpassing standard code completion by integrating advanced context engineering with intelligent AI agents that possess a profound understanding of your project. It enables developers to assign intricate, asynchronous tasks via its Quest Mode, wherein agents operate independently to provide complete results, while also allowing for enhanced functionality through Model Context Protocol (MCP) integrations that connect with various external tools and services. Additionally, Qoder’s Memory system captures coding style, project-specific insights, and reusable context to guarantee consistent, project-aware outputs throughout the development process. Developers can engage in chat for advice or code recommendations, maintain a Repo Wiki for consolidating knowledge, and exercise control over behavior through Rules to ensure that AI-generated work remains secure and guided. This combination of context-sensitive automation, agent delegation, and customizable AI behavior not only empowers teams to think more critically and code more effectively but also fosters an environment where innovation and collaboration can thrive. Through these features, Qoder revolutionizes the coding experience, making it more efficient and aligned with the specific needs of each project.

Emdash serves as an orchestration layer that allows you to execute numerous coding agents simultaneously, each within its own distinct Git worktree, enabling you to address various subtasks or experiments concurrently without any interference. It is designed to be provider-agnostic, allowing you to select from a range of AI models and command-line interfaces, such as Claude Code and Codex, tailored to your specific workflow requirements. With Emdash, you can directly assign issues or tickets from platforms like Linear, GitHub, or Jira to a selected agent, enabling you to observe multiple agents working in parallel in real time. The user interface provides live updates on agent status and activities, and as soon as agents produce code, you can easily review differences, add comments, and initiate pull requests, all within the Emdash environment. Each agent operates within its own worktree, ensuring changes remain isolated and comparable, which facilitates safe testing of various implementations or strategies side by side. This unique setup not only enhances productivity but also encourages experimentation without the risk of code conflicts.

ProxyAI is an innovative coding assistant powered by artificial intelligence, specifically designed to seamlessly integrate into development environments like JetBrains IDEs, including IntelliJ, PyCharm, and WebStorm. By offering context-sensitive code suggestions and automating routine programming tasks, it enhances developers' workflows, leading to greater speed and productivity. Users can benefit from its support for various large language model providers, granting them the flexibility to select models that best suit their performance, budget, and feature requirements. Additionally, it boasts capabilities such as generating and implementing diff patches to modify code across several files, which eliminates the hassle of manual copy-pasting and simplifies the process of making code adjustments. Acting as a centralized platform for AI-enhanced development, ProxyAI connects to multiple AI services, providing a single-access point while ensuring that users retain control over their data and code ownership, thus fostering a more secure development environment. This comprehensive solution not only streamlines coding practices but also empowers developers to leverage the latest in AI technology.

Kimchi serves as a centralized platform designed for overseeing both SaaS and self-hosted AI models, enabling teams to deploy, route, optimize, and scale their LLM infrastructure seamlessly, all while maintaining their established developer workflows. This solution provides a unified control layer for managing AI coding agents, open-source models, commercial offerings, and internal inference, allowing organizations to blend cost-effective open-source solutions with premium providers like Claude, OpenAI, and Gemini when necessary. By prioritizing the reduction of LLM costs, Kimchi enhances the autonomy of development processes through efficient model routing, coding-focused inference, integration with multi-cloud platforms, support for multi-agent workflows, and the ability to interchange OSS and commercial models, all with minimal setup friction. Additionally, it facilitates the operation of the Kimchi coding agent across various teams, thereby broadening access to AI coding capabilities for engineering organizations while ensuring transparency in usage attribution, visibility into costs, and maintained operational governance. This comprehensive approach not only streamlines AI integration but also empowers teams to leverage the best resources available for their specific needs.

oh-my-claudecode is an advanced plugin for Claude Code that adds multi-agent and multi-AI orchestration to software development workflows. The platform allows Claude to coordinate with Gemini and Codex workers, each contributing strengths such as design review, large-context analysis, architecture validation, security review, and code inspection. It includes 19 specialized agents and 39 skills that help developers handle planning, implementation, debugging, testing, documentation, quality review, and other technical tasks. Users can activate workflows through simple keywords such as autopilot, ralph, ulw, plan, ralplan, deep-interview, and team. The Autopilot mode supports autonomous execution from a high-level idea to tested code, while Team mode enables coordinated parallel work across multiple agents. oh-my-claudecode also includes MCP-powered tools such as LSP integration, AST Grep, a persistent Python REPL, and project memory. The plugin is built to reduce the need for memorizing commands by detecting user intent and routing work to the right mode or specialist. It supports installation through the Claude Code plugin marketplace or npm for users who want direct CLI access. oh-my-claudecode gives developers a stronger Claude Code workflow for building, reviewing, and managing software projects with AI assistance.

Factory Droid is an AI-powered software development platform built to help engineering teams automate and coordinate complex coding work. Created by Factory.ai, the platform gives developers a way to plan multi-step initiatives once and let autonomous Droids carry out the work in parallel. It is designed for workflows such as building features, completing migrations, refactoring code, improving systems, and managing larger engineering projects from start to finish. Factory Droid functions as a mission control layer for autonomous engineering, helping teams break work into coordinated tasks and monitor progress across agents. The platform is available through a CLI and also offers a Mac download option for users who want to start building locally. Enterprise teams can use Factory Droid to support secure and compliant AI development in regulated environments. The company provides solutions for financial services, healthcare, telecom, defense and national security, national labs, and SaaS companies. Its enterprise focus includes infrastructure, security, and deployment options suited to organizations with advanced governance needs. Factory Droid helps engineering teams increase output, reduce manual development burden, and ship software initiatives more efficiently.

GPT Pilot is an innovative open-source AI application designed to function as a comprehensive AI developer, generating fully operational applications with very little human intervention. In contrast to basic code autocompletion utilities, GPT Pilot is capable of creating entire features, troubleshooting code, discussing problems, and even soliciting code reviews. This tool seeks to expand the horizons of AI-driven software development by managing as much as 95% of coding responsibilities, reserving the remaining 5% for human developers. Additionally, it is designed to work seamlessly with platforms such as VS Code, allowing for real-time collaboration between developers and AI. By facilitating this partnership, GPT Pilot empowers developers to focus on more complex tasks while the AI handles routine coding challenges.

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.