Agentic Ops: Shipping a Game with AI in Five Stages

A founder leveraged an AI-powered 'Knox Daemon' to deploy a 'vibe-coded' game to production in a five-stage automated process. This approach bypassed traditional SRE complexities, offering a playbook for solo founders.

A founder on dev.to, identified as devto, deployed a simple cooking game to production with minimal manual effort, relying on an AI-powered tool called Knox Daemon. The entire deployment process, from initial prompt to live game, was executed through a five-stage automated plan. This method circumvented the typical complexities of HTTPS configurations, domain setups, and Nginx routing rules, which often pose a significant barrier for developers without specialized SRE knowledge. The founder's experience highlights a potential shift in how solo developers approach infrastructure and deployment.

Vibe-Coded Game in One Hour

The initial development phase for the cooking game was rapid. The founder used Claude Code, an AI coding assistant, with a single prompt: "Create a cooking game where players combine ingredients to discover recipes..." This prompt initiated the development of a game designed to generate dishes with scores and "snarky reviews." Within approximately one hour of coding and debugging, a functional version of the game was operational on localhost, demonstrating the speed at which AI tools can facilitate initial software development.

Identifying the Deployment Barrier

Despite the rapid development, the founder encountered a common challenge: deploying the application for public access. The post explicitly states, "AI has collapsed the barrier to building software. But no matter how low the entry gets, even the most seasoned SRE can't rattle off HTTPS configs, domain setups, and nginx routing rules from memory." This observation frames deployment as a distinct and often more complex hurdle than initial code generation, particularly for developers who do not specialize in site reliability engineering or DevOps.

Setting Up Knox Daemon

To overcome the deployment barrier, the founder turned to an AIOps product called Knox Daemon. The process began by spinning up an AWS virtual machine (VM) and installing the Knox Daemon onto it. Following installation, the Knox Daemon was connected to the game's GitHub repository. This setup established the necessary environment for the AI agent to access the codebase and begin its analysis of the deployment requirements.

Generating the Five-Stage Plan

With the Knox Daemon connected, the founder provided a high-level instruction: "How I Shipped My Vibe-Coded Code to Production." The AI agent then autonomously explored the codebase, engaged in a dialogue with the founder by asking clarifying questions, and subsequently generated a comprehensive deployment plan. This plan consisted of five distinct stages: pre-checks, building the game, requesting certificates, updating Nginx routes, final verification, and documenting learned information for future use. Critically, the plan required explicit approval before any execution commenced, maintaining a human-in-the-loop control.

Executing the Automated Deployment

Upon reviewing and approving the generated plan, the Knox Daemon initiated the execution phase. Multiple agents were deployed in parallel, each responsible for a specific aspect of the deployment. One agent checked the environment, another executed the planned changes, and a third validated the output of each stage. The execution steps were visible throughout the process, providing transparency into the automated operations. The founder noted that the process resembled "a human SRE team at work." Once complete, the agent provided a report, including the live URL for the game.

WHAT WE'D CHANGE

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