Compare Amp vs. Cody

Amp is an innovative AI-powered coding assistant that leverages frontier AI models to enable autonomous problem-solving, advanced code editing, and the execution of intricate development tasks. It is available across popular platforms including VS Code, Cursor, Windsurf, and as a powerful CLI tool, making it adaptable to a variety of developer environments. Users consistently highlight Amp’s exceptional speed and precision, with many describing it as the fastest and most accurate agent coding tool they have used. Designed by Sourcegraph, Amp combines cutting-edge technology with outstanding customer support to quickly resolve issues and enhance user experience. Developers appreciate how Amp automates complex processes like code refactoring, enabling them to focus on higher-level challenges. The tool’s autonomous agents accelerate project timelines by completing significant chunks of code work independently. Amp has cultivated a passionate community of users who praise its transformative impact on software development. Its reputation as a reliable and efficient coding partner continues to grow in the developer ecosystem.

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.