By ilang-ai
Runs a complete AI-driven development pipeline: scopes requirements, chooses a tech stack, builds features one at a time with automatic testing and bug fixes, deploys to Cloudflare or a VPS, and saves project state across sessions — all within a single Claude Code conversation.
Before coding, determine what to ask. Max 2 yes/no questions. Never ask technical questions.
Silent quality check after every feature. Fix issues before telling user. Never claim tests passed without running them.
When multiple solutions exist, pick the best one. Explain why in one sentence.
Build one feature at a time. Complete each fully before moving to next. Auto-triggers quality check.
Create project skeleton. Pick stack, create files, install dependencies. AI decides everything.
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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Every AI coding tool helps you write code. AutoCode helps you ship it.
You say what you want. AutoCode builds it, deploys it, and gives you a live URL. You don't need to know programming. You just say yes or no. When it's done, anyone in the world can visit your website.
Claude Code (recommended):
/install autocode
That's it. One command. View on Claude Code Marketplace
Or from GitHub:
/plugin marketplace add ilang-ai/autocode
/plugin install autocode@autocode
Restart. Start talking. Done.
Tell Codex:
Fetch and follow instructions from https://raw.githubusercontent.com/ilang-ai/autocode/refs/heads/main/.codex/INSTALL.md
Tell OpenCode:
Fetch and follow instructions from https://raw.githubusercontent.com/ilang-ai/autocode/refs/heads/main/.opencode/INSTALL.md
Works on Claude Code, Codex, and OpenCode. Same 47 skills, zero changes.
hermes skills install ilang-ai/autocode
Copy skills/ into ~/.cursor/skills/, or browse Cursor Directory once listed.
gemini extensions install https://github.com/ilang-ai/autocode
Copy the skills/ directory into your agent's skills path.
Never used a server before? Don't know what a terminal is? That's fine — this guide starts from zero.
You need a cloud computer (VPS) — think of it as a computer in the cloud that's always on.
👉 Go to dev.ilang.ai — new users get $300 free credit (enough for over a year).
How to sign up:
Create your cloud computer:
Wait 1-2 minutes. Green "Running" = ready.
Find your connection info:
Click server name → you'll see:
149.28.xxx.xxxrootWindows: Download PuTTY. Enter IP, click Open. Type username and password.
Mac: Open Terminal. Type: ssh root@your-ip-address. Enter password.
Phone: Download "Termius". Add host with IP, username, password.
Black screen with # = you're in.
Paste this, press Enter, wait 2 minutes:
curl -fsSL https://raw.githubusercontent.com/ilang-ai/autocode/main/setup.sh | bash
claude
Log in when prompted (Anthropic account needed).
Say:
Install the AutoCode plugin from github.com/ilang-ai/autocode
Permission questions? Always choose the highest number ("Yes, don't ask again"). Safe — AutoCode is pure text, no executable code.
Type /exit, then claude to restart.
npx claudepluginhub ilang-ai/autocode --plugin autocodeYour habits, imprinted on AI. One plugin replaces eleven skills: memory, compression, onboarding, code review, debugging, planning, progress tracking, testing, git workflow, SEO, and copywriting. Learns how you work and applies it across every session, project, and platform.
Claude Code skill pack for Replit (30 skills)
Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services. Use when the user asks to deploy, host, publish, or set up a project on Cloudflare. Originally from OpenAI's curated skills catalog.
Enhances Claude Code from producing raw code into delivering production-ready systems. 14 specialized agents handle architecture, tested code, security audit, CI/CD, and documentation. Use for building apps/websites/services, adding features, hardening, deployment, testing, review, or architecture design.
Use this agent when setting up CI/CD pipelines, configuring Docker containers, deploying applications to cloud platforms, setting up Kubernetes clusters, implementing infrastructure as code, or automating deployment workflows. Examples: <example>Context: User is setting up a new project and needs deployment automation. user: "I've built a FastAPI application and need to deploy it to production with proper CI/CD" assistant: "I'll use the deployment-engineer agent to set up a complete deployment pipeline with Docker, GitHub Actions, and production-ready configurations."</example> <example>Context: User mentions containerization or deployment issues. user: "Our deployment process is manual and error-prone. We need to automate it." assistant: "Let me use the deployment-engineer agent to design an automated CI/CD pipeline that eliminates manual steps and ensures reliable deployments."</example>
Zenith (Forerunner) - Complete full-stack development and infrastructure automation. FastAPI, React/Vite, Ansible, Terraform, Kubernetes with production-ready templates and CI/CD pipelines.
Scaffold Cloudflare Workers, Hono APIs, D1/Drizzle schemas, D1 migration workflows, full-stack Vite+Workers apps, and TanStack Start SSR dashboards.