Amp
Amp by Sourcegraph is an advanced agentic coding tool designed to enhance software development speed, quality, and team collaboration. It leverages frontier AI models to perform autonomous reasoning, comprehensive code editing, and complex task execution. Developers can use Amp directly from their terminal via CLI or as a VS Code extension, eliminating the need to learn a new UI. The platform promotes sharing of workflows, context, and code changes to improve team efficiency and reuse successful patterns. Amp scales seamlessly from individual developers to large enterprises, offering enterprise-grade security, privacy, and compliance features. Users praise Amp for its smart, fast, and high-quality coding assistance that consistently outperforms competitors.
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Cody
Cody, Sourcegraph’s AI code assistant goes beyond individual dev productivity, helping enterprises achieve consistency and quality at scale with AI.
Unlike traditional coding assistants, Cody understands the entire codebase, enabling deeper contextual awareness for smarter autocompletions, refactoring, and AI-driven code suggestions. It integrates with IDEs like VS Code, Visual Studio, Eclipse, and JetBrains, providing inline editing and chat without disrupting workflows. Cody also connects with tools like Notion, Linear, and Prometheus to enhance development context. Powered by advanced LLMs like Claude Sonnet 4 and GPT-4o, it optimizes speed and performance based on enterprise needs, and is always adding the latest AI models. Developers report significant efficiency gains, with some saving up to six hours per week and doubling their coding speed.
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Lingma
Lingma is Alibaba Cloud’s AI-powered coding assistant designed to streamline software development. It offers features like real-time code completion at the line or function level, natural-language code generation, and intelligent troubleshooting. Developers can describe requirements in plain language, and Lingma generates corresponding code directly in the editor. It supports over 200 programming languages and provides detailed code explanations with visualized flow charts. Lingma can analyze codebases to generate unit tests, automatically compile and run code, and repair issues to improve test coverage. It also allows users to add images as context, which are analyzed to generate code or provide bug-fixing suggestions based on requirement descriptions. For enterprises, Lingma integrates private data like documents and repositories to enhance model outputs, ensuring alignment with organizational standards.
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GitHub Copilot
GitHub Copilot is an AI-powered coding companion that helps developers write, debug, and refactor code faster than ever. Built directly into popular IDEs like VS Code, JetBrains, and Visual Studio, Copilot suggests context-aware code completions and automates repetitive tasks. With Agent Mode, Copilot can plan, write, test, and even submit pull requests—acting like an onboarded team member that understands your repositories. Developers can toggle between advanced models such as GPT-5, Claude Opus 4.1, and Gemini 2.5 Pro to balance speed and depth. Its Copilot Chat and Spaces features bring code, documentation, and project notes together for richer, team-tailored insights. Whether you’re building solo or leading an enterprise project, Copilot enhances productivity and creativity across the entire software lifecycle.
The GitHub Copilot coding agent streamlines development by automating repetitive and time-consuming tasks, allowing developers to focus on more complex coding.
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