Best Agentic CLI Coding Tools for GitHub

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.

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.

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.

Claude Code is a developer-focused AI tool built to actively assist with real-world coding tasks inside the tools engineers already use. Instead of only completing lines of code, it understands full features, repositories, and workflows. Developers can run Claude Code from their terminal, IDE, Slack, or browser to ask questions, make changes, or debug issues. It automatically explores codebases to provide context-aware explanations and recommendations. This makes onboarding to new projects significantly faster and less error-prone. Claude Code can refactor large sections of code, run tests, and help resolve issues without jumping between platforms. It supports integrations with GitHub, GitLab, and common CLI utilities for end-to-end development workflows. Teams can use it to turn issues into pull requests with minimal manual effort. Claude Code is included in Anthropic’s Pro and Max plans with varying usage limits. Overall, it helps developers focus more on decision-making and less on repetitive implementation work.

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.

Factory serves as an advanced AI platform aimed at streamlining the software development lifecycle by automating and refining various engineering tasks. It presents a cohesive workspace that consolidates code, documentation, issue tracking, and discussions to minimize context switching and boost team collaboration. By merging all development assets into a singular intelligent environment, it grants extensive visibility and oversight of engineering initiatives. This platform effectively converts complicated activities into standardized processes, allowing teams to address engineering obstacles with efficiency and consistency. It also provides guided workflows that ensure smooth integration with leading development tools, making setup and deployment quick and straightforward. Furthermore, Factory is tailored for large organizations, featuring dedicated computing resources, custom integrations suited to specific workflows, and top-tier support complete with dedicated account management to meet the unique needs of each enterprise. This comprehensive approach not only enhances productivity but also fosters an environment where teams can innovate without interruption.

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.

Auggie CLI seamlessly integrates Augment’s intelligent coding agent into your terminal, utilizing an advanced context engine to evaluate code, implement changes, and run tools in both interactive sessions and automated workflows. Developers can easily set it up through npm, which requires Node.js 22 or higher and a compatible shell, and they can initiate a full-screen interactive experience using the command auggie, featuring real-time updates, visual progress indicators, and conversational tools suitable for debugging, developing new features, reviewing pull requests, or managing alerts. Furthermore, Auggie provides optimized modes for automation that are perfect for continuous integration and deployment pipelines, as well as for handling background tasks. The CLI also facilitates the use of custom slash commands to streamline repeatable processes, integrates with various external tools and systems through native integrations and Model Context Protocol (MCP) servers, and can be scripted within pipelines or GitHub Actions for tasks such as automatically generating pull request descriptions. Ultimately, Auggie CLI revolutionizes the coding experience by combining intelligent assistance with robust automation capabilities.

Grok Build is xAI’s rapidly expanding coding environment, transforming from a basic local CLI tool into a sophisticated, multi-agent development platform. The introduction of Parallel Agents allows a single prompt to be processed simultaneously by multiple AI instances, giving developers comparative outputs in one unified session. Users can deploy up to four agents per model across Grok Code 1 Fast and Grok 4 Fast, enabling as many as eight concurrent coding agents. A dedicated coding interface displays responses side by side while tracking context usage, supporting more transparent multi-agent workflows. Hidden code references suggest the development of an Arena Mode, where agents may collaborate or compete to generate and rank the strongest solution automatically. The updated UI resembles a browser-based IDE, complete with navigation tabs for edits, files, planning, search, and web content. Live code previews and structured codebase navigation enhance usability for larger projects. Collaboration features such as sharing and commenting are being integrated to support team workflows. Early signs of GitHub app connectivity indicate planned repository integration, though it is not yet active. With these enhancements, Grok Build is evolving into a full-featured AI development workspace built around coordinated, parallelized agent execution.