Revolte
AI executes software delivery
About Revolte
Revolte is an AI platform for software engineering that automates development, testing, and deployment workflows
Revolte helps engineering teams move from intent to production with humans in control, automating tasks such as setting up environments, running tests, and managing deployments
Overview
Who is it for?
Engineering teams looking to automate software delivery workflows Teams migrating legacy applications to modern systems Organizations seeking to improve software development performance and reduce production incidents
Features
- Automates development, testing, and deployment workflows
- Provides delivery intelligence with built-in dashboards for dora metrics and flow metrics
- Supports migration of legacy applications and operation of production systems
- Allows engineers to define requirements and approve outcomes
Use cases
Submitted by
Details
- Pricing
- Subscription Custom View pricing
- Built for
- Developers DevOps Teams Engineering Teams
- Categories
- Developer Tools AI Tools AI & Automation
- Launched
- Last updated
More details
What is Revolte?
Revolte is an AI platform for software engineering that executes development, testing, deployment, and runtime operations from intent to production. It is designed to help engineering teams deliver software faster and more reliably
What integrations and ecosystem support does Revolte offer?
- Jira
- Git
- Figma
What are the pros and limitations of Revolte?
- Pros: Reduces production incidents by up to 40%; Improves testing and deployment workflows by up to 85%; Increases release cycles by up to 10x
- Limitations: Not clearly stated in the available source material.
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FAQ about Revolte
What is Revolte's approach to software delivery?
Revolte automates development, testing, and deployment workflows, allowing engineers to define requirements and approve outcomes
What kind of support does Revolte provide for legacy applications?
Revolte supports migration of legacy applications by automating refactoring, testing, and deployment workflows