AI-Native IDEs

The AI-first code editor

AI-first code editor built as a VS Code fork that deeply integrates LLMs into every part of the development workflow. Features Tab autocomplete with multi-line predictions, Cmd+K inline editing, AI chat with full codebase awareness, and Agent mode for autonomous multi-file edits with terminal execution. Supports GPT-4, Claude, and more with automatic context from project files and docs. Includes privacy mode for SOC 2 compliance. The leading AI-native IDE with 100K+ paying users.

Agent-first development platform by Google

AI-first IDE powered by Gemini 3 with Editor and Manager views for orchestrating parallel coding agents. Artifacts system generates verifiable deliverables with provenance tracking. Multi-model support lets teams choose the best AI for each task. Designed for enterprise teams running large-scale AI-assisted development with built-in governance and coordination.

Local open-source AI app builder running entirely on your machine

Dyad is a local-first, open-source AI app builder with 20,000+ GitHub stars that provides a Lovable and Bolt.new alternative running entirely on your machine. It supports React and Next.js frameworks, integrates with Ollama for fully offline AI generation, and works cross-platform on macOS, Windows, and Linux with both cloud and local LLM providers.

Multi-provider AI coding assistant with BYOK model access

CodeGPT is an AI coding assistant for VS Code and JetBrains IDEs that connects to multiple AI providers including OpenAI, Anthropic, Google, Mistral, and local models via Ollama using your own API keys. It offers code generation, explanation, refactoring, documentation writing, bug detection, and an agent marketplace with pre-built assistants for common tasks. The BYOK approach gives developers full cost control, no rate limits, and complete data ownership over their AI interactions.

Spec-driven development to keep AI agents on rails

Tessl is a spec-driven development platform founded by Snyk creator Guy Podjarny that keeps AI coding agents reliable by defining software through structured specifications before any code is written. The Tessl Framework guides agents to create plans, specs with linked tests, and API definitions — then generates and validates code against them. The Spec Registry provides 10,000+ specs for open-source libraries, preventing API hallucinations and version mixups in agent-generated code.

Self-hosted AI coding assistant

Tabby is an open-source, self-hosted AI coding assistant that serves as a privacy-focused alternative to GitHub Copilot. It provides code completion, chat-based coding assistance, and IDE integrations while running entirely on your own infrastructure with support for consumer-grade GPUs. Tabby supports multiple LLM backends and offers extensions for VS Code, JetBrains, Vim, and other editors, giving teams full control over their AI coding tools without sending code to external services.

Codeium's AI-native IDE

Agentic AI IDE (formerly Codeium, acquired by Cognition AI for ~$250M) built for AI-first development. Core feature Cascade understands entire codebases, plans multi-step edits, runs terminal commands, and acts as a coding partner. Supercomplete offers fast Tab autocomplete with multi-line suggestions. Supports GPT-5, Claude, and Gemini with BYOK. Available as standalone editor and plugins for VS Code, JetBrains, Vim. Ranked #1 in LogRocket AI Dev Tool Power Rankings.

IDE for the AI Agents Era — run an army of coding agents in parallel

Open-source meta-IDE that orchestrates 10+ AI coding agents (Claude Code, Codex, OpenCode) in parallel. Uses git worktree isolation to prevent conflicts, with a unified monitoring dashboard and batch diff review. With 7.9k+ GitHub stars, it's the go-to tool for teams that want to scale AI-assisted development across multiple concurrent tasks.

AI code editor that understands your codebase through git

AI-powered code editor built on VS Code that combines Cursor's AI features with Windsurf's flow-based editing model. Features Cascade for multi-step AI coding workflows, inline completions, and a chat sidebar for codebase Q&A. Competes directly with Cursor by offering similar AI capabilities with a different UX philosophy focused on continuous flow between coding and AI assistance.

Open-source AI code editor focused on privacy

Open-source AI code editor with zero data retention and direct API connections. Supports local models via Ollama and LM Studio, ensuring complete privacy over your code. Built as a VS Code fork with agent mode and MCP support, offering the familiar VS Code experience while giving developers full control over which AI models they use and where their data goes.

Professional IDEs with Junie AI coding agent

AI-native code editor focused on speed and developer experience. Features an AI-powered sidebar for code generation, refactoring, and codebase Q&A. Supports multi-file context awareness and integrates with popular LLM providers. Designed as a lightweight alternative to heavier IDEs, appealing to developers who want fast AI assistance without sacrificing editor performance.

Open-source AI code editor (VS Code fork)

Community-driven AI code assistant that runs in VS Code with full local model support. Autocomplete, chat, and inline editing powered by your choice of cloud or local LLMs. Fully open-source with 25k+ GitHub stars, Continue is popular among privacy-conscious developers who want IDE-integrated AI assistance without vendor lock-in or data sharing.

AI data IDE for 10x faster data work

Context-aware AI coding assistant from Sourcegraph. Reads your entire codebase to provide accurate code generation, explanations, and refactoring suggestions. Integrates with VS Code and JetBrains IDEs. Strong at answering questions about unfamiliar repositories, making it valuable for onboarding, code reviews, and navigating large enterprise codebases.

Multi-agent AI coding platform

Autonomous AI coding agent that works in your terminal alongside your existing tools. Handles complex multi-step development tasks including writing code, running tests, debugging errors, and committing changes. Designed for developers who want an AI that can independently complete coding tasks with minimal hand-holding while respecting your project conventions.

Agentic coding platform by Alibaba Cloud

AI IDE with Quest Mode for semi-autonomous long-running development tasks. Features context engineering that automatically surfaces relevant code, documentation, and project knowledge. Supports Claude, GPT, and Gemini models, letting developers delegate complex multi-step coding workflows while maintaining oversight through structured task tracking and progress reports.

AI-native IDE by ByteDance

VS Code fork with Builder Mode for full-stack project generation from natural language prompts. Offers free access to Claude 3.7 Sonnet, GPT-4o, and DeepSeek models. With 6M+ users and a cloud IDE option, Trae is one of the most accessible AI coding tools for developers who want powerful AI features without upfront costs or complex setup.

Spec-driven agentic IDE and CLI by AWS

Open-source search and analytics engine powering enterprise search, logging, and observability workloads at massive scale. Distributed architecture with full-text search, aggregations, and vector search capabilities. The backbone of the ELK stack (Elasticsearch, Logstash, Kibana), serving as the industry standard for log analytics and application search across millions of deployments.