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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Lokuma
Lokuma is an AI-native platform that combines website generation with a design intelligence layer, enabling both users and AI agents to create structured, high-quality digital experiences automatically. It allows users to generate, edit, and publish professional, conversion-focused websites in minutes by simply describing their business, with the system producing complete site structures, persuasive copy, layouts, and visuals without requiring coding or design expertise. Unlike traditional builders that rely on templates or basic AI content generation, Lokuma focuses on execution by ensuring that every output is production-ready, visually coherent, and optimized for both users and search engines. In addition to its website builder, Lokuma offers a Design Agent that integrates with AI tools such as Claude, Codex, and Cursor, acting as a “design intelligence layer” that refines layout, typography, and visual hierarchy, turning raw AI outputs into polished, usable designs.
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JetBrains Air
Air is an agentic development environment created by JetBrains that allows developers to delegate coding tasks to multiple AI agents and manage them within a single, unified workspace. Instead of functioning as a simple chat-based assistant, it is designed as a full development environment where tools are built around AI agents, enabling users to guide, supervise, and refine their output more effectively. Developers can run several agents concurrently, each working on different tasks in isolated environments, which helps prevent conflicts and improves productivity when handling complex projects. It supports integration with multiple AI systems such as Claude, Gemini, Codex, and other coding agents, allowing flexible, model-agnostic workflows within the same interface. Users can define tasks with rich context by referencing specific files, commits, classes, or code elements, ensuring that the agents generate more accurate and relevant results based on the actual codebase.
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Actionbook
Actionbook is an open source “action playbook” platform that gives AI agents up-to-date manuals and a relevant Document Object Model (DOM) structure so they can operate any website instantly and reliably without having to parse full pages or guess element selectors, dramatically reducing execution time and token costs while improving resilience against dynamic or complex web apps. It provides pre-built action manuals with precise verified selectors so agents hit the right elements every time instead of consuming large context windows to explore page structures, and supports modern web technologies such as virtual DOM, streaming components, and single-page applications, so traditional scraping or brittle automation isn’t required. Actionbook’s approach saves up to 100× in token usage, accelerates agent execution, and works universally with any large language model, agent framework, and browser automation tool, enabling developers to integrate it with their existing stacks.
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