Prody is an autonomous AI cloud engineer that takes you from working code to a live, production-ready app on Google Cloud, without opening the GCP console or hiring a DevOps team. AI coding tools made it easy to build software, but shipping it safely still means dealing with security scans, infrastructure design, IAM, deployment configs, and post-launch monitoring. Solo developers, startup founders, and vibe coders often get stuck at exactly that gap. Prody closes it with a multi-agent pipeline orchestrated through Gemini Managed Agents (Interactions API): Architect designs GCP infrastructure and generates an architecture diagram Human approval means nothing deploys until you sign off Deploy provisions Cloud Run through Google Cloud MCP How it works: Each phase is a specialized agent (intake, security, architect, devops, SRE) with its own reasoning and tools, coordinated by an orchestrator that streams every step live over SSE. Security is a hard gate: the deploy agent refuses to run while the scan verdict is FAIL. When the gate passes and you approve the architecture, the DevOps agent calls Google Cloud MCP to provision real infrastructure and returns a live URL. The same session flows seamlessly between your IDE extension and the web dashboard, so you can start a scan in Cursor and approve the deploy from the browser. Why it is different and novel: Most AI DevOps tools stop at suggestions or dump a dashboard on you. Prody actually executes: it scans, fixes, plans, deploys, and monitors as a coordinated engineering team, not a single chatbot. Three things make it unique: Problem it solves: The missing engineering layer between AI-generated code and production. Secure, explainable, autonomous cloud operations for people who want to ship products, not become infrastructure experts.
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