Agentic software delivery
AI agents can plan, build, and commit code from defined requirements, then support testing and release workflows.
Revolte è una piattaforma di delivery software basata sull’IA per i team di ingegneria. I suoi agenti supportano sviluppo, test, distribuzione e operazioni in produzione, mentre gli ingegneri definiscono i requisiti, esaminano i risultati e autorizzano le azioni importanti.
Revolte is an AI software delivery platform that connects software development, testing, deployment, and production operations in one governed workflow. It is positioned as a delivery platform rather than a coding assistant: engineers provide requirements and approve outcomes while AI agents plan work, generate and commit code, run tests, support deployment, and surface operational insights.
The platform is designed for teams that want to automate more of the software delivery lifecycle without removing engineering review. Its workflow emphasizes visible agent activity, human approval gates, auditable actions, and connections to existing engineering environments. Pricing is based on managed services rather than user seats, with free and paid plans plus enterprise options.
AI agents can plan, build, and commit code from defined requirements, then support testing and release workflows.
Revolte Harness runs agents in sandboxed, permissioned environments scoped to the task at hand.
The platform uses codebase context, architecture decisions, and prior work to give agents information beyond a blank prompt.
Revolte connects agent output with existing environments, pipelines, and infrastructure through its internal developer platform layer.
Dashboards track agent activity, delivery performance, usage, business impact, runtime performance, errors, reliability, and cloud-resource spending.
Engineers can inspect agent actions, review code and configurations, and authorize consequential decisions before release or production changes.
Teams can turn software specifications into deployable code, with agents supporting the path from planning and implementation through review and release.
Engineering teams can generate and run test assets as code changes, helping test coverage scale with ongoing development.
Teams can use the platform to detect, investigate, and resolve incidents before they reach an on-call escalation workflow.
Organizations preparing a migration can use the data-focused workflow to verify schema integrity before moving data.
Teams can modernize legacy applications incrementally rather than replacing the entire system in a single change.
Revolte’s agents support software development, testing, deployment, and production operations. The site describes workflows for planning and committing code, validating applications, deploying releases, and monitoring runtime outcomes.
Yes. Engineers define requirements, review outcomes, and approve consequential decisions. The platform describes human-in-the-loop authorization gates and visibility into agent activity before changes are committed or released.
Revolte prices by the number of services managed rather than by user seats. The site lists a free plan, paid plans for growing teams, and an enterprise option with custom contracts and infrastructure choices. Cloud consumption and some usage-based resources are billed separately according to the plan and deployment.
The platform describes an internal developer platform layer for connecting agent output to existing environments, pipelines, and infrastructure. Its trust-center material specifically discusses integrations such as GitHub, Jira, and Figma, although the exact supported workflow for a particular stack should be verified.
The trust center states that stored data is encrypted at rest and in transit, integrations use documented scopes, users can revoke an integration, and workspace data is deleted within 30 days after workspace deletion. It also states that customer data is not used to train Revolte’s or other AI systems.
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