Sold by: Windsurf
Deployed on AWS
Windsurf (formerly Codeium) is an AI-powered code assistant that helps accelerate time to delivery through context-aware capabilities across the software development life cycle, maximize competitive advantage through technological excellence, and minimize operational risk in AI strategy
Overview
Windsurf (formerly Codeium) is a powerful AI code assistant that helps accelerate time to delivery of products and services by helping with code generation, debugging, testing, modernization, and more. Its special context awareness capabilities and organizational guidelines help companies maximize their competitive advantage through technological excellence. Through its variety of deployment options, including air-gapped environments, and other enterprise readiness capabilities, Codeium can minimize operational risk in your AI strategy. On average, developers using Windsurf generate 44.6% of their newly committed code with Windsurf (based on actual performance data from Windsurf's 700K+ users).
Windsurf can immediately accelerate time to delivery for OKRs and end business impact. With code suggestions, IDE-integrated chat, and inline refactoring capabilities, Windsurf has a wide set of functionalities, available on the largest set of IDEs (including Visual Studio Code, JetBrains, Visual Studio, Eclipse, XCode, Jupyter, Vim/Neovim, and more) and supporting the most programming languages (over 70). Windsurf provides detailed analytics dashboards for each organization to track the immediate impact of Windsurf to their software development.
Windsurf is able to set your technical organization up for scale by establishing standards, reducing tech debt, and accelerating modernization through its context awareness system that can reason over entire (and even multiple) repositories as well as custom organizational guidelines to encode best practices of your particular software development. By providing organizations with context-aware AI, Codeium customers have observed 4x faster onboarding times and happier workforces, allowing them to retain talent and deliver on strategic initiatives faster, better, and bigger than they were able to do before.
Windsurf does not want its enterprise customers to compromise on their enterprise standards, and helps mitigate operational risk in AI strategy by ensuring security & compliance measures through multiple deployment methods (including self-hosted and airgapped), SOC2 Type 2 compliance, no training on user code or non-permissively licensed code, providing attribution & audit logging, and more. Having scaled private deployments to tens of thousands of developers within Fortune 500 organizations, Windsurf provides white glove service in change management and AI adoption, all while never forcing vendor lock-in to other parts of the customers tech stack.
Founded by a team of MIT engineers, backed by Kleiner Perkins and General Catalyst (Series C, $243M+ funding), and over 1000 enterprise customers in production (including the largest Fortune 500 companies in each vertical), Windsurf is well prepared to be every companys partner in their AI journey.
Highlights
- Windsurf allows you to plug into a wide variety of IDEs across over 70 programming languages, and will be compatible with your existing stack and SCMs
- Windsurf has highly personalized suggestions, and has features like multi-repo context awareness to give vastly improved suggestions
- Windsurf can be deployed to an AWS or other self-hosted instance, and even hosted on air-gapped environments.
Details
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Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Windsurf | Access to Windsurf Enterprise | $144,000.00 |
Devin | Access to Devin AI. | $1,000,000.00 |
Dimension | Description | Cost/unit |
|---|---|---|
Windsurf | Price per new user | $60.00 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
Windsurf provides white glove support, including training and kick-offs to our Enterprise customers. We also have detailed SLAs when we sign on customers, which can be found in our Terms of Service. For Support:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Windsurf
By CodeGPT
By Compass UOL
Top
10
In Software Development
Top
100
In Generative AI, Collaboration & Productivity, Application Development
Top
50
In Agile Lifecycle Management
AI generated from product descriptions
Multi-Repository Context Awareness
Ability to reason over entire and multiple repositories to provide context-aware code suggestions and establish organizational standards
Integrated Development Environment Support
Compatible with over 70 programming languages and supports multiple IDEs including Visual Studio Code, JetBrains, Visual Studio, Eclipse, XCode, Jupyter, and Vim/Neovim
Code Generation and Assistance Capabilities
Provides code suggestions, IDE-integrated chat, inline refactoring, debugging, testing, and modernization features
Flexible Deployment Options
Supports multiple deployment methods including self-hosted instances, air-gapped environments, and AWS deployment
Enterprise Security and Compliance
Implements SOC2 Type 2 compliance, attribution and audit logging, no training on user code or non-permissively licensed code, and organizational guideline enforcement
Multi-Agent AI Architecture
Platform built on AI agents that provide context-aware assistance with capabilities including custom prompts for specific tasks, technical documentation expertise, API/language/framework specialists, repository experts using knowledge graphs, and onboarding agents.
IDE and Workflow Integration
Extensions available for VS Code and IntelliJ IDEs with integration into communication channels including Discord, Slack, MS Teams, Chrome extension, and web-based CodeGPT Studio.
Model Agnostic AI Selection
Support for multiple AI models including Anthropic, OpenAI, Mistral, Meta, self-hosted options, and local models, with integration to Amazon Bedrock's generative AI models.
Code Development Capabilities
Features including auto-complete code, code explanation, unit test generation, code refactoring, quick fix functionality, problem detection, pull request auto-completion, vision capabilities, code interpretation, and knowledge graphs for repository mapping.
Repository and Team Management Tools
Code commit and pull request review functionality, repository review and testing capabilities, and dashboard tools for managers and CTOs with connections to GitHub, GitLab, and Bitbucket.
Legacy Code Analysis and Documentation
Automated analysis and comprehensive documentation of business rules and application structures for legacy systems written in COBOL, Clipper, PHP, and other languages.
Generative AI-Powered Code Generation
Generative AI-driven code generation that redesigns legacy applications into modern cloud-based architecture rather than performing traditional transpilation.
Integrated Development Lifecycle Automation
Automated generation of user stories and test cases with full integration to Jira, coupled with code generation and deployment capabilities.
Amazon Q Developer Integration
Integration with Amazon Q Developer to enhance code generation and accelerate software delivery capabilities.
Multi-Language Legacy System Support
Support for analyzing and modernizing legacy systems across multiple programming languages including COBOL, Clipper, and PHP.
Standard contract
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