Qodo (Formerly Codium)

Descript

Edit audio and video by editing text

An AI-powered video editor that works like a word processor. Transcribe your media and delete text to cut scenes or correct audio with AI cloning.

Cursor AI

The IDE designed for pair programming

An AI-powered code editor that can read your entire codebase and provide context-aware fixes and feature implementations.

Warp

The terminal for the 21st century

A modern, Rust-based terminal with AI built-in to help you find and run commands using natural language.

Replit

Collaborative cloud IDE with built-in AI agent

Replit provides a comprehensive cloud environment for writing, hosting, and deploying applications. Its AI agent can build entire features or full-stack apps from natural language.

Trae

Adaptive AI-powered code editor with native agentic workflows

Trae is an advanced AI-first integrated development environment (IDE) built by ByteDance to accelerate software development with deep contextual awareness. It integrates frontier AI models, including Claude 3.5 Sonnet and GPT-4o, directly into your coding environment, enabling intelligent code completion, complex refactoring, multi-file codebase generation, and automated debugging. Unlike traditional editor plugins that treat AI as a bolt-on chatbot, Trae embeds AI as a core collaborator. It offers two distinct operational modes: Builder Mode, which orchestrates autonomous multi-step coding tasks across your entire repository, and Chat Mode, which answers deep technical questions with full codebase grounding. Designed for developers, startups, and engineering teams, Trae provides a familiar, blazing-fast VS Code-compatible interface with native terminal integration, git management, and zero subscription costs during its introductory preview.

vLLM

High-throughput and memory-efficient LLM serving engine powered by PagedAttention.

vLLM is the industry-standard open-source LLM serving and inference engine designed for ultra-high throughput and minimal memory waste. Developed by UC Berkeley researchers, vLLM introduced PagedAttention—a revolutionary memory management algorithm that manages attention key-value (KV) cache like virtual memory in operating systems, virtually eliminating memory fragmentation. Capable of delivering 2x to 4x higher throughput than Hugging Face TGI and standard PyTorch runtimes, vLLM powers production AI inference infrastructure across enterprise cloud clusters and high-volume API providers worldwide.