Interactive Sessions by Revolte - Drive the full SDLC with AI agents, step by step
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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.
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Revolte
Hey PH 👋 Raj here, co-founder & CEO of Revolte.
Every AI dev tool makes you pick a side. Cursor is hands-on: you're in the loop for every keystroke. Devin is hands-off: you hand it a task and check the result. Both are good, but neither is enough on its own for a real team. Because different work needs different oversight.
A tricky refactor in your payments service? You want hands-on. A backlog of dependency bumps? Hand it off. The real question isn't "do we adopt AI?" It's "how do we adopt it across different work with different risk profiles?" Nobody's answering that.
So we built Revolte to give you both, in one workspace.
Autopilot mode (from our previous launch) takes a Jira ticket and runs it end-to-end through PR and deploy, with engineers approving the meaningful steps.
Today we're adding Interactive Sessions: a tabbed workspace where you drive the full lifecycle with the agents directly, architecture, code, tests, staging, deploy. One session per task, you approve every step. No Jira required. Sign up and start in under a minute.
Same governance layer for both. Plan approval before code, inline diffs before merge, cost caps before deploy, audit trail on every action.
Hands-on when you want control, hands-off when you want throughput. Same platform, same procurement conversation.
Would love the hard feedback, especially from engineering leaders figuring out how to adopt AI across teams with different risk appetites. That's the problem we built this for.
@rajagopalanar signed up out of curiosity and had a session going in under a minute with non setup that low barrier to try is rare and it matters good work team.
Revolte
@priya_kushwaha1 We wanted to create ease of use and less barrier for users to start using product. Glad to know that it reflects. Thanks
Revolte
@elias_leo1 Thanks for the support
@rajagopalanar what happens when an agent makes a wrong architectural decision ?
Revolte
@dipanshu_kushwaha5 no commits go into codebase with out PR approval. During PR approval, you could ask use our CLI - Revolte Code - equivalent of claude code to ask the agent to rework on the architecture.
Think of AI workflow as junior engineer and human developer with CLI as senior engineer. If workflow(junior engineer) makes mistakes senior(Dev with CLI) can correct it.
We have confidence scoring mechanism which helps AI workflow to get better and better.
Revolte
@vipul_kumar1280 Thanks. Glad you find this useful.
Revolte
Good day PH Wizards,
Excited to finally launch Revolte — one platform for both interactive and autonomous AI development. 🚀
The pitch for Revolte isn't "we're better than any one of them." It's "you don't need three tools."
Interactive Sessions cover the hands-on work.
Autopilot covers the async work.
Both share one governance layer, one audit trail, one budget system, one procurement conversation.
The thing early customers point to isn't a specific feature. It's not having to run separate rollout plans for interactive versus autonomous AI adoption. Same platform, same rules, teams pick the mode that fits the work in front of them.
Curious to hear your take — are you seeing the same thing inside your org? 👀
Looks exciting! My only question is when do I trust an AI agent enough to let it touch my codebase?
Revolte
@new_user___2432026393c9df85f17fd58 Great question. When you can control everything that AI does. If you just see AI as a junior engineer, who knows enough to do development but not enough to be trusted to ship to production, thats exactly the state AI is now. We have been following quality gates in SDLC all along. If you follow the gates and have control you could trust AI agents.
Revolte gives full control to you to see what AI agents does, and lets you to control approval flow.
Outcome
@rajagopalanar @parthasarathi_raghavan @arulwatson really neat product - how has adoption been thus far - curious how steep the switching costs are for current dev teams?
Revolte
@dzaitzow thank you! The adoption has been great so far and we have been getting some incredible feedback shaping our product & roadmap. The switching costs are near zero, since you can bring in your skills from other tooling and have this running with minimal overhead.
Outcome
@parthasarathi_raghavan got it!
Revolte
@dzaitzow thanks. This is designed for teams who want to run factory model for their engineering teams. We have good tractions and easier adoption for teams who want to run factory model. But considering shift from traditional sdlc cycle to ai driven factory model is lot of work. Today companies are trying to build factory model with Claude, openclaw and inbuilt context management setup which takes lot of trial and error. We help these companies buy proven solution from Revolte vs building(trialing).
Outcome
@rajagopalanar yea this sounds like a really neat niche - I do wonder how many folks think it would be easier to build / trial.. or even know that there is an alternate solution.
Is visibility an issue for you guys? or something you spend a lot of time on? Like in 2026 - things are moving so fast - do people even know that they've got a bottleneck and even further - that there is a solution to this "problem" ahha
Revolte
@aatheeswaran Thanks, two modes is definitely what we are excited about. But it's slightly different than chat and cowork though in terms of switching interfaces. More like where do you need more control vs where it can be completely autonomous. Appreciate you taking your time to try 🙏
Revolte
@aatheeswaran thanks. Glad that you could feel the ease of use while using the product.
Revolte
@suraj_ss Haha, love this. This concept of taking an idea/intent to something functional and scalable is what we are trying to achieve with Revolte. We welcome your feedback after you try!
Revolte
@suraj_ss Thanks, would appreciate that. Please try as many ideas as possbile and scale them to production standard in revolte.
Revolte
Spent the last few months on Interactive Sessions. The question that drove the design: how fast can we get an engineer from sign up to seeing the agents do something genuinely useful in their own workflow?
Where we landed: sign in, open a tab, start a session. No Jira setup, no CI config, no long onboarding. The tabbed workspace works like your browser, one session per task, switch between them, close what you're done with.
You drive the full lifecycle step by step: architecture, code, tests, staging, preview, deploy. When the agents hit a judgment call, you get a focused prompt. When they're ready to touch your code, you see the plan, then the diff, then you approve or modify.
Autopilot is still there for the async work, connect Jira and tickets flow through end to end. But Interactive Sessions is the mode you'll live in day to day, and the one you can try in a minute without committing to anything.
Would love to hear what people think of the flow once you've tried it.
Revolte
The hardest engineering question in building Revolte was this: how do you make Interactive Sessions and Autopilot feel like one product, not two things bolted together?
The answer is that they share a substrate. Both run on the same agent stack, the same governance layer, the same Platform-as-Code contracts. When you switch from driving a session step by step in Interactive to handing off a Jira ticket in Autopilot, you're not moving to a different system. It's the same agents, with a different amount of your attention on them.
That's what makes it a real adoption story for enterprises. You're not deploying two tools with two governance models. You're deploying one platform that meets your teams where they are, some hands-on, some hands-off, all inside the same boundaries.
Happy to go deep on the architecture if anyone's curious.
@rajagopalanar As a solo developer so far I've not considered full automation of my SDLC, but it may be something I consider in the future with tools like Revolte.
Revolte
@codeandsea Great point Brent. Frontier models and now Open-weight models have created huge opportunity for enterprises, startups and solo dev to develop software with AI - which I see as do more with less. We want Revolte to be gateway for this possibility.
Lancepilot
Excited to hunt Revolte today! :)
I see a lot of AI dev tools come through here, and most of them do one slice of the job well: autocomplete in the editor, or an autonomous agent you hand a task to. Revolte is the first one I've come across that treats the whole delivery lifecycle as the thing, from intent all the way to production, with the engineer staying in control throughout.
What sold me was the balance. Their new Interactive Sessions let you drive the build hands-on and approve every step, while Autopilot handles the routine work end to end. Same governance layer under both. It's already trusted by engineers at places like Amazon, Google and PayPal, and the delivery numbers they're seeing are hard to ignore.
Worth a look if you've ever wanted AI to actually ship software, not just write snippets. Congrats on the launch, team!
Revolte
@istiakahmad Thanks. We are excited for the launch as well. The interactive session opens up factory model with lesser configuration and creates ease of use.