Augment Code
Augment Code is an AI-powered coding agent designed specifically for professional software engineers working with large codebases. It integrates seamlessly with popular IDEs like Visual Studio Code, IntelliJ IDEA, and Vim, offering tools for SDK migration, code refactoring, and documentation. Augment Code enhances developers’ productivity by understanding their unique code style and context, providing personalized recommendations and explanations. The platform supports over 100 native and MCP tools, allowing engineers to debug and code more efficiently without switching between different applications.
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Amp
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.
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Qwen Code
Qwen3‑Coder is an agentic code model available in multiple sizes, led by the 480B‑parameter Mixture‑of‑Experts variant (35B active) that natively supports 256K‑token contexts (extendable to 1M) and achieves state‑of‑the‑art results on Agentic Coding, Browser‑Use, and Tool‑Use tasks comparable to Claude Sonnet 4. Pre‑training on 7.5T tokens (70 % code) and synthetic data cleaned via Qwen2.5‑Coder optimized both coding proficiency and general abilities, while post‑training employs large‑scale, execution‑driven reinforcement learning and long‑horizon RL across 20,000 parallel environments to excel on multi‑turn software‑engineering benchmarks like SWE‑Bench Verified without test‑time scaling. Alongside the model, the open source Qwen Code CLI (forked from Gemini Code) unleashes Qwen3‑Coder in agentic workflows with customized prompts, function calling protocols, and seamless integration with Node.js, OpenAI SDKs, and more.
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CodeNext
CodeNext.ai is an AI-powered coding assistant designed specifically for Xcode developers, offering context-aware code completion and agentic chat functionalities. It supports a wide range of leading AI models, including OpenAI, Azure OpenAI, Google AI, Mistral, Anthropic, Deepseek, Ollama, and more, providing developers with the flexibility to choose and switch between models as needed. It delivers intelligent, real-time code suggestions as you type, enhancing productivity and coding efficiency. Its agentic chat feature allows developers to interact in natural language to write code, fix bugs, refactor, and perform various coding tasks within or beyond the codebase. CodeNext.ai includes custom chat plugins that enable the execution of terminal commands and shortcuts directly within the chat interface, streamlining the development workflow.
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