Discover the Best AI Resources
Curated essentials, no noise — just what matters
A free, lesson-based curriculum for building AI agents in Python from first principles: agentic frameworks, design patterns, tool use, RAG, planning, multi-agent systems, memory, and protocols like MCP and A2A. Hands-on, with Azure AI and Semantic Kernel.
A Model Context Provider (MCP) server with accompanying Chrome extension that allows AI applications to control and automate your real browser using the MCP protocol.
Edits and generates images from natural-language prompts: blend photos, swap backgrounds, change a pose, or remove an object, keeping a person's or pet's face consistent across edits. Multi-turn refinement; outputs carry a SynthID watermark.
Official tutorial hub teaching how to code effectively with AI agents inside Cursor, from AI foundations to working with agents and reviewing their output. Lessons cover rules, tools, context as working memory, and which tasks agents handle well.
Headless AI coding agent that runs a local HTTP server (OpenAPI 3.1) any client can drive — TUI, desktop, IDE plugins. Provider-agnostic: bring keys for any LLM, no vendor lock-in. Ships LSP-aware editing, plan/build agents, and shareable session links.
Turns natural-language tasks into edits, reviews, and agent runs inside a developer workspace. It pairs codebase indexing with model choice across editor, CLI, cloud agents, and PR review.
Pulls up-to-date, version-specific docs and code examples straight from a library's source into your AI coding agent's prompt, killing hallucinated APIs from stale training data. Works as an MCP server or via a ctx7 CLI plus skill.
Lets developers build AI features with hosted frontier models for text, code, vision, audio, images, and agents. The platform pairs model APIs with tools, SDKs, safety controls, and enterprise options.