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Revolte
AI for Software Engineering
843 followers
AI for Software Engineering
843 followers
Revolte is for engineering teams to turn intent into production-ready software faster, safer, and with more control. Its agents plan changes, generate code, run quality and security checks, create PRs, support deployment, monitor runtime behavior, and surface risks early. Engineers approve the important decisions. Revolte handles the delivery heavy lifting. Built for higher delivery throughput across SDLC, stronger governance, and more value shipped per engineer.
This is the 2nd launch from Revolte. View more
Interactive Sessions
Launching today
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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Launch Team / Built With
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? 👀
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.
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.
HarnessRouter
Revolte
@kuanzema Thanks. Great to hear your feedback. You could use our CLI for greater control(human in the loop) for factory model.
Bababot
The audit trail caught my attention more than the code generation. are teams using it mainly for governance or debugging too?
Revolte
@adams_parker Ideally can be used for both. Today this is used for governance purpose. But we have agent/workflow builder in the making where the audit trail will be used for debugging agent behaviour.
Revolte
@adams_parker It's actually intended for both the purposes, predominantly focusing on the explainability of the agent actions and have the ability to traceback them as needed.
The out-of-the-box preview and staging setup sounds awesome ! If it really eliminates the need to wrestle with custome Docker/K8s configs, that's a huge time saver. 🚀
Revolte
@boopathi_raja007 yes. we think that would be great differentiator. Also, in revolte you could directly deploy to your AWS or GCP accounts with out zero overhead.
The step by step approval model feels practical. i would trust autopilot more after seeing exactly where i can intervene.
Revolte
@ashley_james Autopilot is not allowed to deploy anything in prod. To Intervene, we have CLI tool, which can be used to intervene in every approval gate. Also, the models can ask back questions whenever needed in a new interactive window.