Indie dev deploys full game studio site via Claude Code, including Steam API data layer
An indie game developer used Claude Code to completely rebuild their studio website at speedrivals.es — and they never opened a terminal. The project is notable not just for the AI-assisted web development, but because Claude Code autonomously connected to the developer's server via SSH, deployed the site, and built a data layer integrating the Steam API.
What was built
The developer designed the layout inspired by game UI menus — clean sections with intentional navigation. After iterating in Claude Code to get the site working locally, they then handed Claude Code their SSH credentials and let it deploy. The AI connected to the server, pushed the files, and the site went live without any manual terminal commands.
The more surprising part: Claude Code also built a data layer that pulls live information from the Steam API — game details, screenshots, Workshop content — and structures it to work across all the studio's titles automatically. The site is responsive on mobile.
Takeaway for developers
This is a real-world example of Claude Code handling both front-end and back-end infrastructure without human intervention. The developer, who describes themselves as not a web developer, said: "I think the profession of 'web developer' as most studios hire it is effectively over. At least for projects at this scale."
Whether you agree with the broader claim or not, the workflow demonstrates what AI coding agents can handle today: full-stack web development including server-side deployment and third-party API integration — all through natural language prompts.
📖 Read the full source: r/ClaudeAI
👀 See Also
MCP Server Enables Claude to Create and Run Custom Tools at Runtime
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Kanwas: Open-source shared context board for teams and AI agents
Kanwas is an open-source multiplayer workspace where teams and AI agents share documents, evidence, and decisions on a canvas with live streaming tool calls. Self-hosted via Docker, it's git-backed with Yjs and BlockNote.
AutoBe: How Weak Local LLMs Fixed an AI Backend Generator's Architecture
AutoBe is an open-source AI agent that generates complete backend apps using TypeScript, NestJS, and Prisma. The team discovered their initial 100% compilation success produced unmaintainable code, then rebuilt with modular generation—crashing success to 40%—and used weak local LLMs like qwen3-30b-a3b-thinking to debug schema ambiguities.
OpenHelm: A Local Background Scheduler for Claude Code with Self-Correcting Retry Logic
OpenHelm is a Tauri-based application that runs Claude Code tasks in the background on a schedule, stores all state locally in SQLite, and includes a self-correcting retry loop that adjusts prompts after failures.