
Revolte is an AI-powered platform that automates the entire software delivery lifecycle, from development and testing to deployment and production operations. Its agentic workflow keeps engineers in control through a CLI, with every step visible before committing. The platform handles code generation, testing, release, and runtime observability, enabling teams to ship production software efficiently.
Funding
Funding not disclosed
Founders
Product
Problem
Software delivery is fragmented across separate tools for development, testing, deployment, and monitoring, forcing engineers to context-switch and manually coordinate handoffs. This disjointed approach slows release cycles, introduces errors, and reduces visibility into the health of applications in production.
Solution
Revolte provides an AI-driven platform that unifies the entire software delivery lifecycle, automating development, testing, deployment, and production operations. Engineers define requirements and approve outcomes, while AI agents plan, build, test, and deploy code, with all actions visible before commitment. The platform includes a developer-in-the-loop CLI for control, automated review and release processes, and built-in runtime observability for monitoring performance and errors. This agentic loop ensures that engineers remain in control while the platform handles the execution, from code generation to live deployment.
Target Audience
Engineering teams and organizations that ship production software and need to streamline their development, deployment, and operational workflows.
Features
- AI agents that autonomously plan, build, and commit code directly to Git repositories
- Developer-in-the-loop CLI for powerful workflow control and oversight
- Automated code validation, review, and merging processes
- Integrated CI/CD pipeline that tests and deploys applications to live environments
- Real-time runtime observability for monitoring performance, errors, and reliability
- Feature scope definition and product design integration to align development with user flows