List of the Top 16 AI Coding Agents for GitLab in 2026

Amp is a frontier coding agent designed to redefine how developers interact with AI during software development. Built for use in terminals and modern editors, Amp allows engineers to orchestrate powerful AI agents that can reason across entire repositories, not just isolated files. It supports advanced workflows such as large-scale refactors, architecture exploration, agent-generated code reviews, and parallel course correction with forced tool usage. Amp integrates leading AI models and layers them with robust context management, subagents, and continuous tooling improvements. Developers can let agents run autonomously, trusting them to produce consistent, high-quality results across complex projects. With strong community adoption, rapid feature releases, and a focus on real engineering use cases, Amp stands out as a premium, agent-first coding platform. It empowers developers to ship faster, explore deeper, and build systems that would otherwise require significantly more time and effort.

Accelerate the speed and efficiency of software development and delivery by harnessing the power of generative AI, while maintaining strong enterprise security and privacy measures. Gemini Code Assist enhances your coding experience through its ability to complete your code in real-time and generate full code segments or functions upon request. This dynamic coding tool is compatible with a wide range of popular integrated development environments (IDEs) such as Visual Studio Code and various JetBrains IDEs, including IntelliJ, PyCharm, GoLand, and WebStorm, as well as Cloud Workstations and Cloud Shell Editor, supporting over 20 different programming languages like Java, JavaScript, Python, C, C++, Go, PHP, and SQL. With a user-friendly natural language chat interface, Gemini Code Assist allows for seamless interaction, providing answers to your programming questions or offering insights into best coding practices, and this chat feature is available across all supported IDEs. Organizations can customize Gemini Code Assist by integrating their proprietary codebases and knowledge libraries, thus enabling the tool to deliver more tailored assistance that meets unique enterprise requirements. Moreover, Gemini Code Assist is designed to facilitate substantial changes across entire codebases, thereby greatly enhancing the development workflow. This versatile approach not only increases productivity but also empowers teams to innovate at a faster pace in a secure setting, ultimately driving success in software projects. As organizations adapt to evolving technological landscapes, tools like Gemini Code Assist become essential in maintaining a competitive edge.

Amazon Q Developer is AWS’s most capable generative AI assistant for software development, engineered to enhance productivity across every phase of the build cycle. Available as a plugin for JetBrains, VS Code, Visual Studio, Eclipse, and the command line, it brings real-time code generation, debugging, and documentation directly into the developer’s workspace. Unlike simple autocomplete tools, its agentic capabilities allow it to autonomously complete complex tasks—implementing new features, performing code reviews, running tests, and upgrading legacy applications with minimal human input. It’s deeply integrated with the AWS ecosystem, offering expertise in cloud optimization, cost management, and operational diagnostics. Teams can engage Amazon Q in Slack, Microsoft Teams, GitHub, and GitLab for seamless collaboration, architecture guidance, and incident troubleshooting. The platform also supports data-driven development, helping users build analytics pipelines and machine learning workflows using natural language prompts. Its privacy-first design ensures that proprietary content is never used to train models, while AWS IAM-based access controls maintain enterprise security standards. Internal studies report up to 80% faster development speeds and a 37% acceptance rate for multi-line code suggestions—among the best in the industry. Whether upgrading Java apps, managing DevOps pipelines, or designing AI projects, Amazon Q Developer accelerates innovation while reducing friction. With flexible deployment and perpetual free access for limited use, it’s redefining the developer experience for the AI era.

OpenCode is the ultimate AI coding agent designed to feel at home in the terminal. Its responsive, customizable TUI provides a native experience that blends the efficiency of command-line development with the intelligence of AI. With full LSP support, OpenCode automatically loads the right language servers, ensuring developers get accurate, context-rich coding assistance. Its unique multi-session feature allows developers to run multiple AI agents in parallel on the same project, enabling advanced workflows and faster iteration. Sessions can be shared via generated links, making it easy to collaborate, debug, or review coding progress with teammates. OpenCode is built for choice—it supports Claude Pro, Claude Max, and over 75+ LLMs via Models.dev, including the ability to run local models for private development. Installation is fast and versatile, working across npm, Bun, Homebrew, and Paru so developers can get started on any system. It also integrates natively with VS Code and GitHub, extending its AI capabilities into popular coding environments. By combining speed, customization, and open model support, OpenCode redefines how AI fits into developer workflows. For teams and solo developers alike, OpenCode makes AI-assisted coding powerful, collaborative, and truly terminal-first.

Firebase Studio is an innovative AI-powered development platform designed to simplify and accelerate the entire application development process. The platform offers AI assistance for tasks like coding, refactoring, and testing, using Gemini to interact with the codebase and automate complex operations. Firebase Studio supports a wide range of tech stacks and provides easy access to APIs, extensions, and tools for web and mobile app creation. It allows developers to prototype apps using natural language or visual mockups, and then deploy them quickly with built-in web previews and Android emulators. With seamless integration into Firebase, Studio helps developers deliver high-quality apps faster while maintaining full control over deployment and monitoring.

SuperAGI SuperCoder is a groundbreaking open-source platform that seamlessly integrates an AI-powered development environment with autonomous AI agents, enabling the complete automation of software development, starting with Python and its associated frameworks. The newest version, SuperCoder 2.0, leverages advanced large language models and a Large Action Model (LAM) specifically optimized for generating Python code, demonstrating exceptional precision in one-shot or few-shot coding tasks, and exceeding standards set by benchmarks such as SWE-bench and Codebench. As an independent system, SuperCoder 2.0 features customized software guardrails tailored to various development frameworks, with an initial emphasis on Flask and Django, while also employing SuperAGI’s Generally Intelligent Developer Agents to build complex, real-world software applications. Additionally, SuperCoder 2.0 integrates extensively with widely-used tools in the developer community, such as Jira, GitHub or GitLab, Jenkins, and cloud-based quality assurance platforms like BrowserStack and Selenium, thus guaranteeing a smooth and efficient software development workflow. This innovative approach not only enhances the coding process but also empowers developers to focus on higher-level design and problem-solving, ultimately transforming the automated software development landscape.

Ona, rebranded from Gitpod, represents a new era in cloud-based software development by combining intelligent automation with secure, enterprise-grade infrastructure. It offers sandboxed development environments that run with complete OS-level isolation, pre-configured for consistency and tailored for professional engineering. These environments can be hosted in Ona’s cloud or within an organization’s own infrastructure, giving teams flexibility and control over source code, secrets, and networks. Ona Agents act like virtual engineering teammates, capable of scoping projects, parallelizing work, writing and reviewing code, and even producing documentation, keeping momentum high across distributed teams. Developers can move effortlessly between conversations with agents, a browser-based VS Code Web interface, or local IDEs, ensuring fluid collaboration on any device. To safeguard operations, Ona Guardrails provide advanced permission management, organizational policies, detailed audit logs, and complete network control. Global enterprises, including major banks and pharmaceutical leaders, rely on Ona for its robust compliance and enterprise integrations. The platform connects seamlessly with popular tools like GitHub, GitLab, MongoDB, AWS, Copilot, Claude Code, and Amazon Bedrock, making it adaptable to diverse workflows. Backed by SOC 2 certification, GDPR adherence, and accessibility compliance, Ona meets strict regulatory and inclusivity standards. With over 2 million developers already on board, Ona is trusted worldwide as a platform to accelerate software engineering with confidence, security, and efficiency.

Cody is a sophisticated AI coding assistant created by Sourcegraph to improve software development's efficiency and quality. It works effortlessly within popular Integrated Development Environments (IDEs) such as VS Code, Visual Studio, Eclipse, and various JetBrains tools, offering features like AI-enhanced chat, code autocompletion, and inline editing, all while preserving existing workflows. Tailored forenterprise teams, Cody focuses on maintaining consistency and quality throughout entire codebases by leveraging extensive context and shared prompts. Moreover, it broadens its contextual insights beyond mere code by integrating with platforms like Notion, Linear, and Prometheus, thus creating a comprehensive picture of the development landscape. By utilizing advanced Large Language Models (LLMs), including Claude Sonnet 4 and GPT-4o, Cody provides customized assistance that can be fine-tuned for various applications, striking a balance between speed and performance. Users have reported notable increases in productivity, with some indicating time savings of around 5-6 hours weekly and a doubling of their coding efficiency when utilizing Cody. As developers continue to explore its features, the potential for Cody to transform coding practices becomes increasingly evident.

Tembo is a comprehensive AI engineering assistant that automates a wide range of developer tasks, from error monitoring and ticket resolution to database tuning and codebase analysis. Acting as a tireless collaborator, Tembo watches your systems around the clock to detect and fix production issues by automatically generating pull requests, allowing engineers to focus on higher-value work. It dives deep into database performance, hunting down slow queries and missing indexes to transform sluggish databases into fast, optimized systems. Tembo integrates seamlessly with major development and monitoring tools to turn tickets and error reports directly into actionable code changes. Its code explorer feature uncovers hidden technical debt, security risks, and refactoring opportunities, helping maintain clean, secure, and efficient codebases. Soon, Tembo will also offer backlog prioritization and deliver solutions that feel custom-tailored to your team’s coding culture. Users credit Tembo with significantly boosting engineering velocity. The platform’s easy setup and robust integrations make it a practical choice for teams aiming to scale their development processes intelligently. Tembo learns from developer feedback, improving pull requests and adapting to team workflows over time. Overall, Tembo empowers engineering teams to automate tedious tasks, improve system reliability, and accelerate feature delivery.

Poolside is an AI coding agent platform built to support developers across the full software development workflow. The platform integrates with CLI, VS Code, Visual Studio, Zed, JetBrains, browser-based environments, and headless CI/CD pipelines so agents can operate wherever code is created, reviewed, or deployed. Developers can run agents from the terminal, work with them inline inside an IDE, launch them through the web, or embed them into automated engineering processes. Poolside supports tasks such as code generation, testing, code review, automation, and repository-wide development assistance. Its sandboxed execution model keeps agent activity isolated so generated code can be tested and validated before it impacts the main codebase. Fine-grained permissions allow organizations to define exactly what each agent can access, modify, or execute. Versioned checkpoints give teams a clear way to inspect, roll back, or continue agent work without disrupting their existing Git workflows. The Poolside Console provides centralized governance for administrators, including policies, sandbox settings, MCP server access, permitted tools, and organizational rules. Agent traceability records each action, decision, and file interaction, giving teams visibility into what AI agents did and why. Usage metrics help leaders track activity, token consumption, session volume, cost, users, teams, and projects. By combining flexible deployment, developer-native tooling, model choice, observability, and enterprise-grade controls, Poolside helps engineering organizations use AI agents productively while preserving security and oversight.

Patched is a managed service designed to enhance various development processes by leveraging the open-source Patchwork framework, addressing tasks such as code reviews, bug fixes, security updates, and documentation. By utilizing advanced large language models, Patched enables developers to design and execute AI-driven workflows, referred to as "patch flows," which systematically oversee tasks post-code completion, thereby elevating code quality and accelerating development cycles. The platform boasts a user-friendly graphical interface and a visual workflow builder, making it easy to tailor patch flows without the need to manage infrastructure or LLM endpoints. For those who prefer self-hosting, Patchwork includes a command-line interface agent that seamlessly fits into current development practices. Additionally, Patched places a strong emphasis on privacy and user control, providing organizations the ability to deploy the service within their own infrastructure while using their specific LLM API keys. This amalgamation of features not only promotes process optimization but also ensures that developers can work securely and with a high degree of customization. The flexibility and security offered by Patched make it an attractive option for teams seeking to enhance their development workflows efficiently.

Solver marks a significant leap forward in elastic engineering APIs, designed specifically to fully automate a diverse range of programming tasks. This state-of-the-art tool empowers software developers to offload tedious and time-consuming coding duties, allowing them to focus more on the creative facets of their work. Solver operates independently to handle intricate, multi-step procedures, continually improving its functionality by analyzing external documentation and adapting to the specific demands of each project. Seamlessly integrating with current integrated development environments through a cloud-based API eliminates the need for a complete system overhaul. By leveraging repository-based reasoning, it enables advanced generative AI to interact directly with Git repositories, enhancing workflow efficiency. Developed by the skilled team behind Siri and Viv, Solver adheres to strict engineering standards, broadening the horizons of AI within software development. Its adaptable nature allows for optimization of its functions as it evolves, capable of performing tasks such as identifying security weaknesses and refining code, all while achieving results at a pace that frequently exceeds human teams. Furthermore, Solver is poised to not only boost productivity but also transform the future of coding methodologies, setting a new benchmark for the industry. This transformative potential positions Solver as a vital tool for developers aiming to elevate their projects and streamline their processes.

Revolte is an AI-powered software engineering and software delivery platform that automates the complete software development lifecycle from product intent to production deployment and ongoing operations. The platform enables engineering teams to move beyond isolated AI coding assistants by executing planning, code generation, testing, validation, deployment, runtime monitoring, and operational workflows through coordinated AI agents. Engineers remain responsible for defining requirements, reviewing changes, approving releases, and governing outcomes while Revolte performs the repetitive execution work across development pipelines. The platform integrates with widely used engineering tools including Jira, Git, GitHub, GitLab, Figma, Kubernetes, Terraform, Slack, Grafana, Sentry, AWS, Google Cloud, and other DevOps technologies, allowing teams to enhance existing workflows without major infrastructure changes. Revolte supports organizations building new applications, migrating and modernizing legacy software, operating production environments, and continuously evolving existing applications with faster release cycles and greater consistency. Its Agent Harness converts platform definitions written in YAML into executable workflows that automatically provision infrastructure, services, environments, and deployment pipelines required throughout the software lifecycle. Delivery Intelligence provides visibility into engineering workflows, deployment performance, and operational health, while runtime observability helps teams monitor systems, investigate incidents, resolve production issues, and maintain application reliability. Developer-in-the-loop workflows ensure AI-generated code and infrastructure changes remain subject to human review before deployment, balancing automation with engineering oversight.

Factory.ai is a next-generation, agent-native software development platform that enables teams to automate and streamline the entire software lifecycle using AI agents called Droids. These agents can perform complex tasks such as refactoring code, handling incident responses, executing migrations, and maintaining legacy systems. The platform integrates seamlessly across development environments, including IDEs, terminals, desktop apps, and collaboration tools like Slack and Teams. Developers can continue working within their preferred tools without needing to switch workflows or adopt new systems. Factory.ai is built to be vendor-agnostic, supporting multiple AI models and development tools for maximum flexibility. Its enterprise-ready architecture ensures scalability, reliability, and high performance for modern engineering teams. The platform also includes analytics capabilities that connect AI agent usage to measurable engineering outcomes. Security is a core focus, with industry-grade protocols to protect code, data, and intellectual property. Factory.ai supports the entire development stack, from initial coding to CI/CD and deployment processes. It helps teams reduce manual effort, improve efficiency, and accelerate delivery timelines. By combining automation with developer control, it enhances productivity without replacing human expertise. Overall, Factory.ai transforms how software is built by enabling intelligent collaboration between developers and AI agents.

Zenflow acts as an orchestration platform for artificial intelligence, aiming to bring order and uniformity to software development that incorporates AI by overseeing multiple AI agents within workflows driven by specific requirements, thereby ensuring adherence to the phases of planning, implementation, testing, and review, and maintaining focus on established criteria instead of ad-hoc prompts. This platform efficiently organizes repeatable procedures that can operate independently or with human supervision, integrating automated checks and quality control measures between agents to reduce mistakes and eliminate unnecessary AI inconsistencies. Furthermore, Zenflow allows for the concurrent execution of tasks across different environments, provides visibility into agent activities through project management tools, and includes pre-built workflows for feature development, bug fixing, and code refactoring, all of which are customizable by users. By grounding tasks in a reliable reference point, such as Product Requirement Documents (PRDs) or architectural specifications, it helps to prevent scope creep and misalignment while coordinating multiple agents to uncover possible oversights among various model types. Ultimately, Zenflow enables teams to more efficiently leverage AI capabilities, enhancing both quality and productivity in the software development lifecycle, while also fostering collaboration among team members to optimize the overall development process.

Anycode AI is the ultimate auto-pilot solution tailored to seamlessly integrate with your software development workflows, enabling the transformation of your entire legacy codebase into modern tech stacks at speeds reaching up to eight times faster than traditional methods. Dramatically boost your programming efficiency with Anycode AI, which harnesses the power of artificial intelligence to facilitate rapid and compliant coding and testing processes. Embrace swift modernization with Anycode AI, simplifying the management of legacy code while ensuring smooth updates for optimized applications. Transition smoothly from outdated systems as our platform diligently refines obsolete logic to guarantee an effortless migration to advanced technology. With Anycode AI, elevate your software development productivity to unprecedented levels, fostering a culture of continuous innovation within your team. This cutting-edge tool not only revitalizes your workflow but also equips your developers with the necessary resources to excel in a rapidly evolving industry.