XHawk Integrations

Amp is a frontier coding agent built to give developers full access to the power of today’s leading AI models directly in their workflow. Available in the terminal and popular editors like VS Code, Cursor, Windsurf, JetBrains, and Neovim, Amp integrates seamlessly into existing development environments. It enables developers to delegate complex coding tasks, refactors, reviews, and explorations to intelligent agents that understand and operate across entire codebases. With support for advanced models such as Claude Opus, Gemini, and GPT-class models, Amp delivers fast, reliable, and highly agentic code generation. The platform is designed for real-world engineering work, handling multi-file changes, deep context, and iterative improvements. Amp helps developers move faster while maintaining confidence in code quality.

GitHub Copilot is an AI-powered development assistant designed to accelerate software workflows from the editor to the enterprise. It works directly inside popular IDEs, terminals, and GitHub itself to help developers write, understand, and improve code faster. Copilot supports multiple leading large language models, allowing users to optimize for speed, accuracy, or cost. Developers can use Copilot to complete code, explain concepts, propose edits, and validate files in real time. It also enables agent-based workflows where Copilot can autonomously handle issues, write code, and create pull requests. With seamless integration across tools, Copilot keeps developers focused without breaking their flow. GitHub Copilot is built to scale from individual developers to large organizations with enterprise-grade controls.

Cursor is an advanced AI-powered IDE designed to make developers exponentially more productive. Built with deep codebase understanding and intelligent automation, it combines natural language interaction with precise, context-aware editing tools. Its Agent feature acts as a human-AI coding partner capable of planning and executing entire development workflows, while the Tab model delivers remarkably accurate autocompletion and targeted suggestions. Cursor seamlessly integrates across environments—from GitHub and Slack to the command line—ensuring AI assistance is available wherever you code. Supporting leading models like GPT-5, Claude Sonnet, Gemini Pro, and Grok Code, it gives developers full control over autonomy and model selection. Fast, intuitive, and built for serious builders, Cursor is redefining what an IDE can be.

Claude Code is an AI-powered coding agent designed to work directly inside your existing development environment. It goes beyond simple autocomplete by understanding entire codebases and helping developers build, debug, refactor, and ship features faster. Developers can interact with Claude Code from the terminal, IDEs, Slack, or the web, making it easy to stay in flow without switching tools. By describing tasks in natural language, users can let Claude handle code exploration, modifications, and explanations. Claude Code can analyze project structure, dependencies, and architecture to onboard developers quickly. It integrates with common command-line tools, version control systems, and testing workflows. This makes it a powerful companion for both individual developers and teams working on complex software projects.

Privacy-focused, contextual pull request reviews with line-by-line code suggestions and interactive chat that gets smarter over time. The diff in the pull request is transformed into a clear summary, helping you understand the intent of the changes. Creates automated release notes, convenient for inclusion in the release documentation. A detailed, line-by-line analysis of the code changes provides precise and actionable suggestions ready to be committed. Ask questions to the bot within your code lines, provide more context, and have it write the code. The more you chat with the bot, the smarter it will become. Shorten cycle time with faster review feedback and high-quality code change suggestions. Your data stays confidential and solely fine-tunes your reviews. The system learns from your interactions, refining the reviews to align with your preferences.

Greptile can answer hard questions on complex codebases better than any other tool. Greptile answers questions like that one 100X dev on your team who's been around for years and knows the codebase cold. Search across multiple branches of multiple repos all at once. Multi-repo codebases, open source dependencies and more. Locate code deeply hidden in messy, legacy codebases by simply describing it in plain English. Thanks to our semantic abstraction layer, Greptile works with most public programming languages.

Aider is an AI pair-programming tool that runs directly in your terminal, helping developers build new projects or improve existing codebases using large language models. It works with both cloud-based and local LLMs, giving developers flexibility in how they use AI. Aider understands your entire codebase by mapping it, making it especially effective for larger projects. It supports over 100 programming languages and integrates tightly with Git for safe, trackable changes. Developers stay in control while accelerating development through natural language instructions.

Model Context Protocol (MCP) is an open protocol designed to standardize how applications provide context to large language models (LLMs). It acts as a universal connector, similar to a USB-C port, allowing LLMs to seamlessly integrate with various data sources and tools. MCP supports a client-server architecture, enabling programs (clients) to interact with lightweight servers that expose specific capabilities. With growing pre-built integrations and flexibility to switch between LLM vendors, MCP helps users build complex workflows and AI agents while ensuring secure data management within their infrastructure.

Codex CLI is an open-source, lightweight coding agent that integrates directly into your terminal, designed to help developers write, edit, and understand code efficiently. By pairing with Codex CLI, developers can leverage the power of AI to streamline their workflow, get real-time code suggestions, and improve their coding accuracy, all from within their command line interface. It provides a seamless, accessible way to enhance coding productivity while staying in the environment developers are already comfortable with.

Gemini CLI is a free, open-source AI agent that integrates Gemini’s powerful AI capabilities directly into developers’ command line terminals. It offers fast, lightweight access to Gemini 3 Pro, enabling developers to generate code, solve problems, and manage tasks using natural language prompts. The CLI supports up to 60 model requests per minute and 1,000 requests per day at no cost, with additional paid options for professionals requiring higher usage. Gemini CLI includes advanced features like Google Search grounding for real-time web context, prompt customization, and automation within scripts. It is fully extensible and open source, welcoming community contributions via GitHub. Designed to enhance workflow efficiency, Gemini CLI brings AI-powered coding assistance to the terminal environment.

OpenAI Codex is an AI-powered coding agent from OpenAI designed to help developers build, refactor, and ship software more efficiently. It works as a collaborative coding partner that can understand entire codebases and execute complex tasks from start to finish. Codex supports multi-agent workflows, enabling parallel work across projects to accelerate development timelines. The platform integrates with tools like IDEs, terminals, and cloud environments, allowing developers to work seamlessly across different interfaces. It can automate tasks such as code generation, testing, debugging, and pull request creation. With built-in automations, Codex can handle background processes like issue triage and CI/CD monitoring without constant input. Overall, Codex enhances productivity by combining intelligent automation with deep code understanding to streamline the development process.

Your AI-powered code agent that works in the background so you can focus on critical tasks. Integrating directly with GitHub and using the latest Gemini models, Jules can: Write code to solve your issue Break down complex coding tasks into actionable steps Understand and navigate your codebase Run and validate changes through unit tests Adapt the approach based on your feedback