<p>Hey Product Hunt 👋</p><p> </p><p>Raj here, founder & CEO of Revolte.</p><p> </p><p>For years, I’ve built and worked with engineering teams where the same pattern kept showing up:</p><p> </p><p>Writing code was rarely the only bottleneck.</p><p> </p><p>The real drag was everything around the code: setting up environments, running tests, managing deployments, fixing broken builds, triaging incidents, checking quality, and keeping delivery moving across disconnected tools.</p><p> </p><p>Coding assistants have made developers faster inside the IDE.</p><p>But software delivery is much bigger than the IDE.</p><p> </p><p>That’s why we built Revolte.</p><p> </p><p>Revolte is AI for Software Engineering, an agentic platform that helps engineering teams move from intent to production with humans in control.</p><p> </p><p>Give Revolte a ticket or requirement, and its agents can help plan the implementation, work against your actual codebase, generate code, run checks, create the PR, support deployment, monitor runtime behavior, and surface what needs attention.</p><p> </p><p>But the important part is this:</p><p> </p><p>Revolte does not remove engineering judgment.</p><p> </p><p>Every meaningful change goes through human review. Engineers see the diff, the reasoning, the checks, and the rollback path before anything moves forward.</p><p> </p><p>We built it this way because production software cannot run on blind automation. It needs context, governance, and control. Our belief is simple:</p><p> </p><p>AI should not just help engineers type faster.<br>AI should help engineering teams ship better software faster.</p><p> </p><p>Revolte is built for teams that want more delivery throughput without adding more delivery chaos.</p><p> </p><p>We’d love for you to try it, break it, test it on something real, and tell us where it falls short. </p><p> </p><p><a href="https://revolte.ai/" target="_blank" rel="nofollow noopener noreferrer">https://revolte.ai/</a></p><p> </p><p>And if you’re an engineering leader thinking about how agents can safely enter your SDLC, I’d be happy to talk through the governance side with you.</p><p> </p><p>Thanks for checking us out,</p><p>Raj.</p>
<p>Greetings Product Hunt 👋 this is <strong>Watson</strong> from <a href="https://www.producthunt.com/products/revolte" target="_blank" rel="noopener">@Revolte</a></p><p> </p><p>One thing we kept hearing from engineering teams was this:</p><p>AI helps teams write more code. <strong>But WHY shipping software to production still feels painfully operational </strong>— and WHY no serious engineering team fully trusts AI near production yet.<br></p><p><strong>The hardest balance in AI software delivery today :</strong></p><ul><li><p>Too much approval, and the product becomes another workflow layer engineers have to babysit.</p></li><li><p>Too much autonomy, and no serious team will trust it near production.</p></li><li><p>Automation should handle the repeated delivery work<br>environment setup, test runs, build management, deployment support, runtime monitoring, and coordination.</p></li><li><p>Human judgment should stay where it matters: code merges, production changes, infra-sensitive decisions, security-sensitive changes, and rollback paths.</p></li><li><p><strong>This balance is the product. </strong>We went through many versions before landing on the current model.</p></li></ul><p>And honestly, that’s where <strong>a lot of AI ROI still gets stuck</strong> inside real engineering organizations.</p><p></p><p>We believe the future isn’t just AI generating code — or engineers manually coordinating every step around software delivery forever.</p><p></p><p><strong>It’s intelligent execution systems continuously carrying delivery work forward</strong> while engineers stay focused on architecture, reliability, product thinking, and technical judgment.</p><p></p><p>That’s the balance we’ve thought deeply about while building Revolte — and where the compounding value really starts.</p><p>Would genuinely love feedback from the PH community ❤️</p>
<p>Congratulations to Raj and the Revolte team on the launch 🚀</p><p><br>I hunted Revolte because it’s one of the few AI engineering platforms I’ve seen that looks beyond code generation and focuses on the real bottleneck: getting software safely from intent to production.</p><p><br>A lot of AI dev tools make engineers faster inside the IDE. That matters, but it doesn’t solve the full delivery problem. The hard part is everything around the code, planning the change, understanding the existing codebase, running the right checks, creating the PR, supporting deployment, watching what happens at runtime, and knowing what to do when something breaks.</p><p><br>That’s where Revolte feels different to me. </p><p><br>Their bet is not that AI should blindly replace engineering judgment. It’s that agents can take on more of the SDLC heavy lifting if the trust model is designed properly, with the right approval gates, visibility into the diff and reasoning, quality and security checks, and rollback paths where they matter.</p><p><br>That’s the version of AI for software engineering I can actually see moving into real production codebases.<br>Two things I’d encourage people here to look at closely: the per-service pricing model, which is very different from the usual per-seat AI tooling model, and the CLI/workflow experience, because engineering teams don’t want another SaaS dashboard unless it genuinely removes work.</p><p><br>Excited to see how the Product Hunt community responds to this.</p><p><br>Raj and team have clearly thought deeply about where AI belongs in the software delivery lifecycle. Looking forward to the discussion.</p>
<p>Excited to share that we’re launching Revolte today.</p><p></p><p>Revolte around a simple belief: software teams should spend more time building great products and less time dealing with delivery complexity.</p><p></p><p>Today, engineering teams jump across multiple tools for planning, coding, testing, deployment, and production monitoring. A lot of valuable time gets lost in handoffs, repetitive workflows, and operational overhead.</p><p>That’s why created Revolte.</p><p></p><p>Revolte is AI for software engineering, helping teams move faster from intent to code, testing, deployment, and production, while keeping engineers in control throughout the process.</p><p>With Revolte, teams can:</p><p>⚡ Build faster<br>🧪 Automate testing and release workflows<br>🚀 Ship with less operational overhead<br>🔍 Monitor production with greater visibility and confidence</p><p>Building this for developers, engineering leaders, and teams that want to ship faster without adding more complexity to their workflow.</p><p></p><p>Would love to hear your thoughts, if AI could take over one painful part of your software delivery workflow, what would you want it to handle?</p><p>Thanks so much for checking out Revolte 🙌</p>
