Revolte
Summary
Most DevOps automation collapses the moment you try to stretch it past a single pipeline stage — you write the Terraform, you write the tests, you write the deployment config, and the AI tool that looked so promising in the demo quietly steps aside. Revolte is built around the premise that a single agent harness should carry intent all the way from a Jira ticket to a running production service.
Revolte's core loop is: engineer states intent, agents execute development, testing, and deployment, engineer reviews before anything ships. The YAML-defined Agent Harness converts platform requirements into provisioned infrastructure and environments, so the scaffolding work that normally costs a sprint disappears. Built-in DORA and flow metrics dashboards surface delivery performance without a separate observability stack. The self-hosted path exists but is gated behind the enterprise tier, so teams with on-prem requirements cannot evaluate it without a sales conversation first. Community evidence on how agents behave across large, multi-service monorepos with deep dependency graphs is limited — this is a tool with impressive claims and a short production track record.
Bottom line: Bet on Revolte if you are standing up a greenfield service and want agents to carry the delivery lifecycle from the first commit; reconsider if you are operating a legacy monorepo with complex dependency chains, where the automated refactoring and migration workflows have not been stress-tested publicly at that scale.
Pricing Plans
Usage-BasedLast verified 6 days ago- Price
- $149/mo
- Free Tier
- 300 Cloud credits, 1 project, 3 apps, 3 preview environments, limited agents, basic platform features, community support
Free
For hobbyists & solo builders exploring AI-native DevOps
- 300 Cloud credits
- Revolte Cloud + BYOC
- 1 project
- 3 apps
- 3 preview environments
- Harness Engineering (limited agents)
- Platform - CI/CD, IaC, Basic, Observability
- Limited Delivery Intelligence - DORA & Flow dashboards
- Community support & docs
- Pay-as-you-go overages: $0.20/1K tokens, $0.01/CI run, $0.50/GB logs
Pro
For growing teams scaling AI-native DevOps across services and environment
- 2000 Cloud credits
- Revolte Cloud + BYOC
- 5 projects
- 25 apps
- 25 preview environments
- 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
- Overages billed at PAYG rates: $0.20/1K tokens, $0.01/CI run, $0.50/GB logs
Enterprise
For larger orgs with custom infrastructure, compliance & scale requirements
- Volume pricing, annual contract
- AI-only, Platform-only, or Intelligence-only modules available
- 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
- Overages billed at PAYG rates: $0.20/1K tokens, $0.01/CI run, $0.50/GB logs
View full pricing on revolte.ai →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- YAML-defined Agent Harness provisions infrastructure and environments automatically, so engineers avoid writing and maintaining separate Terraform configs and environment setup scripts across projects.
- Engineer review gates at every delivery stage mean agents cannot ship to production without explicit sign-off, so teams avoid the silent-deployment failure mode that makes autonomous CI/CD tools risky in regulated environments.
- Custom agent definitions let teams encode org-specific policies and internal tool integrations into the delivery loop, so compliance requirements do not have to live in a separate enforcement layer bolted on after the fact.
- Native DORA and flow metrics dashboards are built into the delivery surface, so engineering leads get delivery performance data without standing up a separate observability and analytics stack.
- Agents handle the full arc from new builds to legacy migration to production incident response within one platform, so teams do not switch contexts or tool chains when the work shifts from greenfield development to operating existing services.
Cons
Sign in to edit- Self-hosted and on-prem deployment is an enterprise-only feature with no self-service trial path — teams with data-residency or air-gapped requirements cannot evaluate the tool without entering a sales process, and at that point teams with strict compliance mandates frequently move to open-source alternatives they can audit and run themselves.
- The automated legacy migration workflow — dependency mapping, module refactoring, migration testing — is described at the feature level but lacks publicly documented case studies at large monorepo scale; teams inheriting a system with thousands of interdependencies face meaningful uncertainty about where the agent's refactoring logic breaks down before they find out in staging.
- Custom agent authoring requires encoding org-specific logic in Revolte's own agent definition format, which means that logic is not portable; if the team later needs to move off the platform, that institutional workflow knowledge has to be rebuilt in a different system from scratch.
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About
- Platforms
- Web, Cloud, BYOC, On-prem (Enterprise)
- API Available
- No
- Self-Hosted
- Yes
- Last Updated
- 2026-06-28T18:42:25.959Z
Best For
Who it's for
- Engineering teams scaling AI-native DevOps
- Organizations managing multiple services and environments
- Teams needing compliance and on-prem options
What it does well
- Automating software development and testing from natural language intent
- Managing CI/CD pipelines and infrastructure as code
- Monitoring with DORA and Flow metrics dashboards
- Deploying and operating services across cloud environments
Discussion Community
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Frequently Asked Questions
- Is Revolte free?
- Revolte is a paid tool ($149/mo). No permanent free tier is offered.
- Is Revolte open source?
- No — Revolte is a closed-source tool. Source code is not publicly available.
- Can I self-host Revolte?
- Yes. Revolte supports self-hosting on your own infrastructure.
- What platforms does Revolte support?
- Revolte is available on: Web, Cloud, BYOC, On-prem (Enterprise).
Hours Saved & ROI Stories Community
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Curated lists that include this category
Revolte executes the full software delivery lifecycle — code generation, testing, deployment, and runtime operations — from a natural language description of intent. Engineers connect a repository via CLI or start from scratch, define platform requirements in a single YAML file, and Revolte’s agents handle the remaining delivery steps: generating and committing code to Git, running tests, merging, deploying to staging, then to production. The developer stays in the loop at defined review points; no action goes to production without an explicit engineer sign-off. The vendor describes this as ‘platform as code,’ where every agent action is visible, inspectable, and overridable before it executes.
The differentiating feature is the Agent Harness — a YAML spec that tells Revolte what infrastructure, services, and environments a project needs, which Revolte then provisions automatically. This sidesteps the usual pattern of maintaining separate Terraform modules, CI/CD pipeline configs, and environment setup scripts. Teams can also define custom agents to encode org-specific policies, internal tooling integrations, and compliance workflows directly into the delivery loop.
Revolte fits teams building new applications or modernizing legacy codebases who want agents to absorb the execution burden of the delivery cycle while engineers own product decisions. It also targets production operations: the vendor describes agents that monitor system health, triage alerts, resolve incidents, and update runbooks. The ceiling appears in complex legacy migrations with deep dependency graphs — the automated dependency mapping and module refactoring workflows the vendor describes have not been widely validated publicly at enterprise monorepo scale. Self-hosted deployment is an enterprise-only feature, which means teams with hard on-prem or data-residency requirements cannot run a self-service evaluation.
Revolte integrates with Jira, Git, and Figma in the documented workflow, with the CLI as the primary connection point for existing codebases. Delivery Intelligence dashboards provide DORA metrics and flow metrics natively, removing the need to pipe data into a separate analytics layer. The vendor also references FinOps capabilities within the runtime observability surface.