The Agentic Development Environment

What it is

Warp is an agentic development environment that combines a modern terminal with AI agents to assist with software development tasks. It is designed for professional software engineers and development teams working in production codebases. The platform enables users to delegate complex coding, debugging, and deployment tasks to multiple AI agents that operate with varying levels of autonomy.

Main Features

Code

• Use AI agents to build complex features directly in production codebases
• Agents work across multi-repository codebases
• Integrate with MCP (Model Context Protocol) servers for extended functionality

Agents

• Deploy and manage multiple AI agents simultaneously
• Centralized tracking and monitoring of agent activities
• Ability to step in and take control when agents require human assistance
• Configurable autonomy levels for individual agents and enterprise-wide settings

Terminal

• Modern, intelligent terminal interface built for speed and efficiency
• Native network log for real-time telemetry monitoring
• Supports standard shell commands and plain English instructions

Drive

• Centralized knowledge repository for storing context and information
• Accessible by both AI agents and human teammates
• Stores prompts, examples, and shared team knowledge

How it works

Building Features

Users describe desired functionality in plain English or via shell commands. Warp agents then write the necessary code, create pull requests, and implement features tailored to the specific codebase context.

Debugging and Incident Response

Agents can diagnose and fix issues, such as addressing errors from monitoring tools like Sentry. They utilize context from Warp Drive and connected MCP servers to understand the codebase and implement appropriate solutions.

Deployment and Operations

Users can instruct agents to handle deployment processes, such as deploying projects to platforms like Vercel. Agents execute the necessary commands and confirm successful deployment.

Multi-Tasking Development

Users can run multiple agents in parallel to handle different tasks simultaneously—such as building a feature, debugging an error, and managing deployments—all within the same environment.

Key Points

• Ranked #1 on Terminal-Bench leaderboard and achieves 71% on SWE-Bench Verified benchmarks
• Trusted by over half a million engineers at companies including Amazon, Netflix, GitHub, and NVIDIA
• Provides granular control over agent autonomy and permissions
• Maintains data privacy with no training on user data by external model providers
• Offers enterprise-grade security features including zero data retention and bring-your-own-LLM options
• Transparent telemetry with comprehensive documentation of data collection practices

Additional Details

Pricing and Availability

• Available for macOS (Version 10.14+), Linux (.deb, .rpm, Arch Linux, AppImage), and Windows (11/10 x64/ARM64)
• Free download available with optional Preview version for early access to experimental features
• Enterprise plans include dedicated account management, personalized onboarding, and advanced security features

Enterprise Features

• SAML-based SSO authentication
• Bring your own LLM capability
• Zero data retention policies
• Unlimited Notebooks, AI requests, and Workflows
• Private email support and dedicated account management

Installation Options

• Direct download packages for all major platforms
• Package manager support: brew install --cask warp for macOS, winget install Warp.Warp for Windows
• Multiple architecture support (x64 and ARM64) for all platforms