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From intent to shipped code. Revolte connects business intent, engineering context, and autonomous workflows to deliver production-ready software with confidence.

INTRODUCING REVOLTE

The AI Engineering Workspace from Intent toShipped Code.

You bring intent — a feature to build, a bug to fix, or a ticket to execute. Revolte reads your codebase, builds a plan, gets your approval, writes the code, runs the tests, and opens the pull request. Your team directs the system and owns what ships.

Revolte AI SDLC Cycle

THE OUTCOME

Intent to shipped code — what happens at each step

Revolte doesn’t complete tasks in isolation and hand them back. It moves work through every stage of the engineering lifecycle — with humans in control at the decisions that matter.

01 Define intent
YOU
02 Understand codebase
REVOLTE
03 Build a plan
REVOLTE
04 Approve plan
YOU
05 Write & test code
REVOLTE
06 Open pull request
REVOLTE
07 Review & merge
YOU
08 Deploy to production
REVOLTE

You define, approve, and review. Between those three points, Revolte keeps executing — even while you’re working on something else.

Engineering Beyond Code Generation

Most AI tools help write code. Revolte helps deliver software.

From greenfield applications to production bug fixes, Revolte combines AI agents, governed execution, cloud infrastructure, deployment, and observability into a single engineering platform.

Instead of switching between coding assistants, CI/CD pipelines, preview environments, deployment tools, monitoring dashboards, and ticketing systems, your engineering workflow lives inside one workspace.

Software Engineering, Reimagined

Revolte is the operating layer for a software factory: people set direction, agentic workflows carry work forward, and every stream stays connected to the context around it. It is not one pipeline or one ticket moving from left to right.

The work is continuous
Not a start-to-finish checklist

Product ideas, bugs, incidents, improvements, and operational signals keep feeding the next decision. The loop continues as the software changes and the team learns.

Many workflows run together
A software factory, not a single lane

Multiple workflows can run in parallel across projects and stages—discovery, implementation, testing, release, support, and maintenance—without losing the larger picture.

Agents adapt to the work
Specialists, not one generic assistant

Compose agents and workflows for the job at hand. They use the right context, tools, and approval points, while engineers direct priorities and stay in control of consequential decisions. A single change may move from intent → session → plan → code → review → deploy, but it is one slice of a much bigger system.

Built Around AI-SDLC

AI-SDLC (AI Software Development Lifecycle) reimagines software engineering by moving implementation work from humans to AI while engineers remain responsible for architecture, governance, approvals, and production quality. Revolte operationalizes this model through Interactive Sessions, Autonomous Workflows, AI Agents, Cloud Infrastructure, and Deployment Pipelines.

Tools for the Way You Engineer

Revolte gives teams a connected place to shape work, compose agents, manage context, and review changes with confidence.

Workflow Editor
Design repeatable execution

Build visual workflows from prompts, tools, agents, and approval points. Turn the way your team works into a reusable engineering system.

Workflow Hub
Run work from one place

Discover, launch, monitor, and improve workflows across projects without losing the state or decisions behind each run.

Agentic Customisation
Make agents fit your team

Compose specialised agents with the instructions, tools, skills, and guardrails they need for your codebase and operating model.

Context Management
Keep the right context close

Bring together repository knowledge, requirements, decisions, conventions, and session history so every task starts informed.

Diff Context
Review changes in context

See why a change was made, what it touches, and how it fits the plan—not just a list of modified lines.

What You Can Build

From greenfield development to production support, Revolte supports the full lifecycle.

Greenfield Development

Generate full-stack applications, APIs, dashboards, internal tools, and services.

Existing Codebases

Implement features, refactor architecture, modernize services, and improve test coverage.

Production Engineering

Investigate incidents, reproduce bugs, perform root cause analysis, and deliver verified fixes.

Developer Productivity

Explore unfamiliar repositories, understand architecture, generate documentation, and accelerate onboarding.

Three Ways to Work

One decision: how close do you want to be? Revolte adapts to how you want to work — not the other way around.

Interactive Workspace
Work alongside Revolte

Collaborate with AI in real time. Review plans, refine implementation, inspect reasoning, approve changes, and steer engineering decisions while work is being executed.

Developer Workflows
Delegate and return

Workflow Builder lets you create reusable engineering workflows using specialized AI agents. Design workflows once and execute them repeatedly.

  • Feature Delivery
  • Bug Resolution
  • Code Reviews
  • Architecture Analysis
  • Release Automation
CLI
Stay in your terminal

Bring Revolte directly into existing terminal workflows. Launch AI sessions, automate repetitive engineering tasks, and integrate Revolte into your development environment.

HUMAN IN THE LOOP

Autonomy between fixed human checkpoints.

Revolte executes autonomously between fixed human checkpoints. You define, approve, and review; Revolte handles understanding, planning, writing, testing, and shipping. The autonomy is real. So is the control.

Autonomous Delivery from Jira

Connect Jira or your preferred project management platform and let Revolte transform backlog items into engineering execution. AI agents analyze requirements, ask clarifying questions when needed, implement the solution, create commits, open pull requests, and keep work synchronized with your delivery workflow.

Integrated Cloud Platform

Everything required to execute, test, and host your applications.

Sandbox Environments

Every engineering task runs inside isolated development environments with full repository context, secure execution, and reproducible workflows.

Preview Deployments

Automatically generate preview environments for every implementation so teams can validate functionality before merging.

Production Deployment

Deploy scalable cloud-native applications using managed infrastructure with built-in deployment workflows, rollback support, and release governance.

Observability

Monitor application health, deployments, runtime metrics, logs, and operational insights from the same engineering workspace.

Everything Stays Visible

AI should never be a black box. Every session captures planning, reasoning, generated code, execution history, approvals, pull requests, deployments, and operational telemetry. Engineers can inspect, review, pause, resume, or intervene at every stage of software delivery.

Where to Go Next

Choose the shortest path to your first shipped task with Revolte.

From Idea to Production.
One Workspace.

Whether you’re building a new product, modernizing an existing platform, or automating your engineering backlog, Revolte provides the AI execution layer for modern software delivery.