Guided SDLC sessions
Supports step-by-step work with AI agents across architecture, code, tests, staging, and deployment.
Coding / product dossier
Interactive Sessions
Runs governed AI-assisted SDLC workflows from architecture through deployment.
Product brief
What Interactive Sessions does.
Different work needs different AI oversight, and Revolte gives you both. Our Interactive Sessions let you drive the full lifecycle with the agents, step by step: architecture, code, tests, staging, deploy. You approve every step. Autopilot mode hands off a Jira ticket end-to-end, with agents planning, coding, opening the PR, and deploying. Same workspace, same governance: plan approval, inline diffs, cost caps, and audit trails, built in. Hands-on when you want control, hands-off when you don't.
Why we selected it
A substantive agentic engineering workflow with selectable autonomy and concrete governance controls: approvals, diffs, cost caps, and audit trails.
- Best for
- Engineering teams with deployment controls
- Category
- Coding
- Daily picks
- 1
- First selected
- 2026-08-31
Product preview saved with our daily selection
Capability scan
What it can help with.
Only capabilities supported by the product information we collected are listed here.
Per-step approval
Lets users approve each step during Interactive Sessions.
Jira-ticket autopilot workflow
Can take a Jira ticket through planning, coding, pull-request creation, and deployment in Autopilot mode.
Built-in governance controls
Includes plan approval, inline diffs, cost caps, and audit trails in the same workspace.
Best-fit use cases
Guide an agent through architecture, implementation, testing, staging, and deployment while approving each stage.
Hand off a Jira ticket for planning, coding, pull-request creation, and deployment.
Review inline changes and maintain an audit trail for an engineering workflow.
Apply cost caps and plan approval controls to agent-led development work.
FAQ
Before you open it.
What are Interactive Sessions?
Interactive Sessions are a mode for driving AI agents through the software development lifecycle step by step, with approval at every step.
Which SDLC stages does the product describe?
The described stages are architecture, code, tests, staging, and deployment.
What does Autopilot mode do?
Autopilot mode is described as taking a Jira ticket end to end: planning, coding, opening a pull request, and deploying.
What governance controls are included?
The product description lists plan approval, inline diffs, cost caps, and audit trails.