AI for software engineering, automating the entire software delivery lifecycle from intent to production.
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Tracked since2026
0 reviews trackedThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Significantly faster release cycles (10x reported)
Biggest con
Reliance on AI for critical development and operational tasks may require trust-building
TL;DR - Revolte
- Automates the entire software delivery lifecycle using AI agents.
- Accelerates development, testing, and deployment, reducing incidents.
- Supports building new apps, migrating legacy systems, and operating production.
Pricing: Free plan available
Best for: Growing teams
What is Revolte?
Revolte is an AI-powered platform designed to automate and accelerate the software delivery lifecycle (SDLC) for engineering teams. It allows engineers to define requirements and approve outcomes, while AI agents handle development, testing, deployment, and runtime operations. This includes generating and committing code, assuring code quality, deploying applications, and providing runtime observability and delivery intelligence.
The platform is built for various use cases, from building new applications and migrating legacy systems to operating and evolving existing production applications. It aims to reduce release cycles, speed up testing and deployment workflows, and decrease production incidents by providing a unified, AI-driven approach to software delivery. Revolte offers features like an Agent Harness for defining platform requirements, a Delivery Pane View for custom AI agents, a CLI for integrating with existing codebases, and built-in dashboards for DORA and flow metrics.
Pros & Cons
Pros
- Significantly faster release cycles (10x reported)
- Improved testing and deployment workflows (85% faster reported)
- Reduced production incidents (40% reported)
- Engineers can focus on product decisions while AI handles development workflows
- Provides a unified platform for monitoring, response, and changes in production
Cons
- Reliance on AI for critical development and operational tasks may require trust-building
- Pricing model based on services managed and consumption credits can be complex to estimate for large teams
Key Features
AI-driven development, testing, deployment, and runtime operationsAgentic Workflow for code generation, assurance, and mergingDeveloper-in-loop with CLI for control and reviewRuntime Observability and Delivery Intelligence dashboardsAgent Harness for defining platform requirements via YAMLCustomizable AI agents for internal workflows, policies, and integrationsPlatform As Code for visible and reviewable changesManaged Environments with automated infrastructure provisioning
Pricing Plans
Pricing checked May 29, 2026
Free
$0
- Free base
- Pay-as-you-go credits
- 300 Credits
- Revolte Cloud + BYOC
- 1 Project
- 3 Apps
- 3 Preview
- Harness Engineering (limited agents)
- Platform - CI/CD, IaC, Basic, Observability
- Limited Delivery Intelligence - DORA & Flow dashboards
- Community support & docs
- Standard Security
Pro
$149 / mo
- Free base
- Pay-as-you-go credits
- 2000 Credits
- Revolte Cloud + BYOC
- 5 Projects
- 25 Apps
- 25 Preview
- Full Harness Engineering - all agents & workflows
- Platform - Advanced CI/CD pipelines, full IaC, Observability
- Delivery Intelligence - DORA, Flow, AI Security & Efficiency
- Pay-as-you-go overages for all dimensions
- SSO & Role-Based Access Control
- Email + Slack support (SLAs)
- Dedicated success manager
- Pay-per-module pricing
Enterprise
Contact us
- Volume pricing
- Annual contract
- AI-only: Harness Engineering standalone
- Platform-only: CI/CD + IaC + Observability
- Intelligence-only: DORA + AI metrics dashboards
- Any combination of the three modules
- All three products bundled at maximum discount
- Unlimited services & usage (custom caps)
- BYOC + Private cloud / on-prem deployment
- Custom SLAs & uptime guarantees
- Dedicated Customer Success Manager
- SOC 2, GDPR, custom compliance support
- White-glove onboarding & migration
- Custom AI model fine-tuning & BYO LLM
- 4h priority support SLA
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Revolte FAQ
How does Revolte handle the transition from development to production, especially for existing applications?
Revolte integrates with existing codebases via its CLI. It manages the delivery lifecycle by allowing engineers to define requirements and approve outcomes, while its AI agents execute development, testing, deployment, and runtime operations. For existing applications, it can automate refactoring, testing, and deployment workflows, and for production systems, it monitors, triages, and resolves issues.
What kind of control do engineers maintain when Revolte's AI agents are executing tasks?
Engineers maintain control through a 'developer-in-loop' approach. Every change generated by Revolte's AI agents remains fully visible and reviewable. Engineers can inspect, modify, or override any action before deployment, ensuring governance and accountability.
Can Revolte integrate with our existing CI/CD pipelines and observability tools?
Revolte offers a 'Platform As Code' approach and 'Delivery Pane View' for custom agents, suggesting flexibility in integrating with existing systems. It also provides built-in CI/CD capabilities and observability features, but the extent of direct integration with third-party tools would depend on specific configurations and custom agent development.
How does Revolte's 'Agent Harness' work to provision infrastructure and environments?
The Agent Harness uses a single YAML file where engineers define their platform requirements. Revolte then converts these requirements into executable workflows, automatically provisioning the necessary infrastructure, services, and environments required to build and run the application.
What is the difference between Revolte Cloud and Bring Your Own Cloud (BYOC) options?
Revolte Cloud refers to using Revolte's hosted cloud infrastructure. BYOC (Bring Your Own Cloud) allows users to deploy and run Revolte's services within their own cloud environment, which is particularly beneficial for organizations with specific compliance, security, or infrastructure requirements, especially in the Pro and Enterprise plans.
How does Revolte's pricing model, based on 'services managed', benefit growing engineering teams?
Revolte's pricing is based on the number of services managed, rather than per-seat. This model aims to avoid penalizing teams for growth in headcount if their output (number of services) remains constant or improves due to AI efficiency. As teams deploy more services, they are genuinely expanding scope, which aligns with the pricing structure.
Source: revolte.ai