Warp

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About
Warp is a modern, GPU-accelerated terminal reimagined for the AI era. It combines a high-performance terminal experience with integrated AI agents capable of handling complex development tasks. Unlike traditional terminals that function as simple command-line interfaces, Warp acts as an agentic development environment where users can dispatch agents to build features, diagnose bugs, and manage deployments. It supports major shells like Zsh, Bash, and Fish, and is available across macOS, Linux, and Windows systems, providing a consistent experience for developers regardless of their operating system. The tool features Agents 3.0, which possess full terminal capabilities, allowing them to execute commands, read file structures, and apply code changes autonomously or with human supervision. It introduces Blocks, which group command inputs and outputs together for easier navigation and filtering, and Warp Drive, a cloud-based collaboration space for sharing workflows, notebooks, and environment variables. Users can choose between top-tier AI models from OpenAI, Anthropic, and Google, or use Warp's automatic model selection to optimize performance for specific tasks such as debugging or writing scripts. Warp is designed for individual developers and engineering teams who spend significant time in the command line. It caters to roles ranging from full-stack engineers to DevOps specialists who need to streamline repetitive tasks or require assistance with complex multi-step procedures. Its collaborative features make it particularly useful for teams looking to centralize shell-based knowledge through shared notebooks and workflows, reducing the time spent on onboarding and knowledge transfers within the organization. What sets Warp apart is its focus on security and privacy alongside deep AI integration. It is SOC 2 compliant and offers a Zero Data Retention (ZDR) policy, ensuring that sensitive data is never used for training third-party LLMs. Unlike CLI-only tools, it includes a native code editor for quick adjustments and provides active AI suggestions that proactively surface fixes for terminal errors, effectively turning the command line into a collaborative technical lead. Its cross-platform nature ensures that developers can maintain a consistent workflow across different hardware environments, supported by features like universal input with vim-style keybindings.
Pros & Cons
SOC 2 compliant with strict Zero Data Retention policies to protect sensitive code.
Allows switching between top models like GPT-4, Claude 3.5 Sonnet, and Gemini Pro.
GPU-acceleration ensures a high-performance, lag-free terminal editing experience.
Shared Warp Drive allows teams to collaborate on shell workflows and documentation.
The terminal software is currently closed-source, which may concern open-source enthusiasts.
Cloud-connected features like Warp Drive and AI agents require a user account and login.
AI credit limits on the free tier decrease significantly after the initial two months.
Use Cases
Software engineers can use Agents 3.0 to handle complex multi-step coding tasks and debug errors automatically using natural language prompts.
DevOps teams can centralize internal runbooks and diagnostic scripts by sharing interactive notebooks via the Team Drive.
SREs can automate production deployments and diagnostic investigation by utilizing agents that have full terminal and system capabilities.
Platform
Task
Features
• multi-model support
• warp drive
• interactive notebooks
• universal input
• codebase indexing
• zero data retention
• blocks
• agents 3.0
FAQs
Does Warp support 'Bring your own LLM'?
Yes, Warp supports bringing your own API keys on the Build plan and higher. Enterprise customers also have the option to bring their own LLM configurations for advanced control.
Is my code stored on Warp's servers during indexing?
No, Warp performs real-time codebase indexing for context-aware responses without storing any code on their servers. This ensures your intellectual property remains private while enabling AI understanding.
What operating systems are supported by Warp?
Warp is a fully cross-platform terminal available for macOS (10.14+), Linux (x64 and ARM64), and Windows (10/11 x64 and ARM64). It works out of the box with shells like Zsh, Bash, and Fish.
Pricing Plans
Build
USD18.00 / per month• 1,500 AI credits per month
• Bring your own API key
• 20 concurrent cloud agents
• 40 indexed codebases
• Unlimited Warp Drive objects
• Unlimited cloud conversation storage
• Private email support
Max
USD180.00 / per month• 18,000 AI credits per month
• Everything in Build plan
• 20 concurrent cloud agents
• Reload credit discounts
• 4 vCPUs / 8 GiB RAM for agents
Business
USD45.00 / per user / per month• Automatically enforced team-wide ZDR
• SAML-based SSO
• 40 concurrent cloud agents
• Admin dashboard
• 8 vCPUs / 16 GiB RAM for agents
Free
Free Plan• 300 AI credits per month
• 4 concurrent cloud agents
• 3 indexed codebases
• Modern terminal with blocks
• Individually configured Zero Data Retention
• Limited cloud conversation storage
• Access to OpenAI, Anthropic, and Google models
Job Opportunities
Applied AI Engineer
Transform your terminal into an AI-powered dev environment with agents that can write code, debug production issues, and automate complex CLI workflows.
Benefits:
Competitive Salary & Meaningful Equity
Full Medical, Dental, and Vision Benefits
20-days of Paid Time Off
16 weeks of paid Parental Leave
Twice-a-year company retreats
Experience Requirements:
At least 5 years of experience applying AI/ML research to build and ship production-grade products
Strong software engineering background
Experience in fine-tuning and deploying large language models and predictive systems
Adept at prompt engineering
Other Requirements:
Comfortable building scalable data-driven feedback loops
Thrive in a fast-paced environment
Based in the U.S. or Canada
Warp Hiring Challenge (optional)
Responsibilities:
Design, build, and deploy predictive AI features
Leverage Warp’s user-generated content and team data to refine AI prediction
Drive improvements in code generation quality
Implement and iterate specialized agents
Optimize AI models through fine-tuning and prompt engineering
Show more details
Ratings & Reviews
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