AutoCode

language:

en tags:
skill
agent-skill
autocode
deployment
shipping
beginner-friendly
claude-code
codex
cursor
copilot
gemini
hermes
i-lang
zero-dependency license: mit

⚡ AutoCode

You say it. AutoCode ships it.

🇨🇳 中文 · 🇯🇵 日本語 · 🇰🇷 한국어 · 🇪🇸 Español · 🇧🇷 Português · 🇩🇪 Deutsch · 🇫🇷 Français · 🇷🇺 Русский · 🇸🇦 العربية · 🇮🇳 हिन्दी

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.

New in v6: see a product you like, get your own. Say "I want something like X". AutoCode studies X from its public pages only, writes a blueprint where every line carries its source, cuts an MVP small enough to build in one session, and builds it. It learns the structure and designs its own look — nothing is reverse-engineered or copied.

Built on iLang, the first protocol to formally map Greek mathematical symbols (Σ, Δ, φ, λ, Ω, ∇, μ, Π, ψ, ξ, ζ, θ, ∂) as primitive verbs for AI-to-AI communication, and the first to define a computable vector space for AI judgment (11 dimensions, 4 axioms).

🚀 Install

Any agent, one command (Claude Code, Codex, Hermes, OpenCode, Gemini CLI, CodeBuddy, Qwen Code, Windsurf, Cursor, Trae, OpenClaw …):

git clone https://github.com/ilang-ai/autocode.git && cd autocode
python3 autocode.py setup          # detects your agents, shows the plan, asks once, installs
python3 autocode.py doctor         # read-only health check; run it whenever something feels off
python3 autocode.py uninstall      # removes only what setup installed; your edits stay

Python 3.8+ and nothing else. setup copies the 11 skills into each agent's skills folder, adds one managed block to its instructions file (CLAUDE.md, AGENTS.md, SOUL.md, …) so agents without hooks still get memory, full review and the pre-deploy secret scan, and keeps backups of anything it touched. python3 autocode.py clients lists the supported agents; the table lives in agents.json — adding an agent is adding an entry.

Claude Code plugin route (also fine):

/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.

Codex

Tell Codex:

Fetch and follow instructions from https://raw.githubusercontent.com/ilang-ai/autocode/refs/heads/main/.codex/INSTALL.md

OpenCode

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 11 skills, zero changes.

Hermes Agent

hermes skills install ilang-ai/autocode

Cursor

Copy skills/ into ~/.cursor/skills/, or browse Cursor Directory once listed.

Gemini CLI

gemini extensions install https://github.com/ilang-ai/autocode

Any SKILL.md-compatible agent

Copy the skills/ directory into your agent's skills path.

🔰 New to Everything? No Problem.

Never used a server before? Don't know what a terminal is? That's fine — this guide starts from zero.

Click here for the complete beginner guide

Step 1: Get a Cloud Computer

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:

Click the link → registration page
Enter email, create password (10+ characters, mix of uppercase, lowercase, numbers)
Check email, click verification link
Payment: supports credit card, PayPal, Alipay (支付宝)
$300 free credit applied automatically

Create your cloud computer:

Click "Deploy +" (top right)
"Deploy New Server"
Type: "Cloud Compute — Shared CPU" (cheapest)
Location: Closest to you (Tokyo for Asia, New York for Americas, London for Europe)
Image: "Debian 12"
Plan: $6/month (1 CPU, 1GB RAM — enough)
Click "Deploy Now"

Wait 1-2 minutes. Green "Running" = ready.

Find your connection info:

Click server name → you'll see:

IP Address — like 149.28.xxx.xxx
Username — root
Password — click eye icon to show, copy button to copy

Step 2: Connect

Windows: 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.

Step 3: Install Everything

Paste this, press Enter, wait 2 minutes:

curl -fsSL https://raw.githubusercontent.com/ilang-ai/autocode/main/setup.sh | bash

Step 4: Start Claude Code

claude

Step 5: Install AutoCode

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.

Step 6: Build

Build me a restaurant website with online reservations

You're a developer now.

📖 What You'll Experience

First Time

You:      "I want to sell cakes online"
AutoCode:  "What computer do you use? Mac or other?"
You:      "Other"
AutoCode:  "I'll help you get a server. $6/month. OK?"
You:      "OK"
AutoCode:  → Sets up server → Builds website → Deploys
           → "Done. Open nainai-cake.com on your phone."

Your effort: 3 yes/no answers
Result: a live website anyone can visit

Fifth Time

You:      "Build a booking site for my hair salon"
AutoCode:  → Knows your preferences → Builds → Deploys
           → "Live at salon-booking.com. SSL active."

Twentieth Time

You:      "New project"
AutoCode:  → Barely asks → Ships it → You realize you have 20 live websites

User feedback: "I don't even know who did the work — I thought I was supposed to code, but it was already done."

🔍 See a product you like, get your own

You:      "I want a lightweight issue tracker like Linear, for my 10-person team"
AutoCode:  "I'll study Linear from its public pages, give you a blueprint of how
            it's built, and cut an MVP we can ship today. We learn the structure
            and design our own look."
          → reads pricing, docs, changelog, API docs, integrations, security, careers
          → blueprint.md: 36 features (core / plus / drop), 13 objects with relations,
            7 user flows, pricing, gaps — every line tagged [S3] {high|medium|guess}
          → mvp.md: 5 objects, 7 screens, 7 build steps, 5 acceptance checks
You:      cross out what you don't want, say "go"
AutoCode:  → builds the MVP → deploys → "Live at https://… — open it on your phone."

The product-study skill works from public pages only: official site, docs, pricing, changelog, public API docs, open-source repos, app-store listings, public reviews. It refuses login areas, captures, decompiling and bulk scraping on its own, and its gate rejects a blueprint that cites nothing, copies a sentence, or embeds the original's images, logo or code. The interface, copy, brand and code of your product are yours. A finished study: skills/product-study/examples/linear/. A complete run, study → build → verify → ship: skills/product-study/examples/dino/ — a non-technical ask ("a dinosaur game like that one, but I set the speed"), a one-file game whose rules are kept apart from its look, and an acceptance table the user can read (check / expected / actual / match, 8/8, rerun on the live URL).

Before shipping, AutoCode runs that table, not "tests passed". A static build ships to GitHub Pages at no cost; if you have no GitHub account it walks you through signing up, and you approve the login in your own browser. The whole journey, as the rules AutoCode follows, is methodology/see-it-ship-it.md.

🧠 11 Skills, 7 Stages

All automatic. You never activate them. Every skill is one stage of the journey or a support that runs across it; the journey itself is written down in methodology/see-it-ship-it.md.

Stage	Skill	What it does
S1 see	`see`	Understands what you want from how you said it; your level; the size of the job; locks what you confirmed; asks at most one question that is yours
S2 study	`product-study`	"Like X" → public-source blueprint with evidence → MVP cut → verify runner
S3 plan	`plan`	Steps that each end in something you can click; minutes, not hours; core first; risks and costs flagged
S4 build	`build`	Simplest stack that works, one feature at a time, rules kept apart from the look, checkpoint before anything risky, first-session environment
S5 verify	`verify`	Silent checks after every feature, full review before save and deploy, the acceptance table — check / expected / actual / match — local and again on the live URL
S6 ship	`ship`	Secret scan, then a public URL: GitHub Pages at no cost for static builds, a server only when needed; domain if you want one
S7 hand-back	`hand-back`	Progress lines, real milestones credited to you, session summary, and the final hand-back: URL, table, what to try, what was learned vs decided
across	`judge`	When AutoCode acts alone and when it stops and asks — iLang v5.0: perception sets 11 dimensions, the frozen `f_v5` sets the mode, you see one plain line
across	`fix`	Observe → reason → smallest fix → verify → explain in your words
across	`memory`	Loads what we know at every start, learns patterns, preferences and mistakes without asking, saves on stop — never secrets
across	`security`	Secrets never in code or chat; scan before every deploy

v6.1 had 49 skills; 44 of them were one paragraph each. v6.2 folds them into the eleven above (the mapping is in the methodology file). setup retires the old folders on upgrade and keeps any you edited.

🎯 Precision

🧠 Memory

Close today → open tomorrow → remembers everything. Gets better every session.

🌍 Different from Everything Else

	Other AI coding tools	AutoCode
For	Developers	Anyone
Ends at	Code written	Website live
Requires	Terminal/IDE knowledge	Just say yes or no
Tech decisions	Asks you	Decides for you
Deployment	You figure it out	Automatic
Domain + SSL	You figure it out	Guided step by step
Start from a product you like	"Make a clone" and hope	Public-source blueprint with evidence → MVP
Memory	Resets each session	Persistent
Protocol	None	iLang v5.0
Language	Usually English	Your language

❓ Troubleshooting

Something broke, don't know what to say

Say "something's wrong". AutoCode asks simple questions. If it can't fix it in terminal, it tells you how to screenshot + upload to claude.ai.

/plugin command doesn't work

Just say: "Install the AutoCode plugin from github.com/ilang-ai/autocode". Talking works better than commands.

Permission popups I don't understand

Choose the highest number. AutoCode is pure text — safe to approve.

Can't connect to server

Check IP, username, password in Vultr dashboard. Server must be green "Running".

Is it safe?

100% open source, pure text files. Claude Code verified: "No malicious content."

Cost?

AutoCode: free forever (MIT). Cloud computer: $6/month (or free with $300 Vultr credit). Plus Anthropic API usage.

ilang.ai · ilang.cn · Hugging Face · @adsorgcn

iLang Research · iLang Inc. · Canada · MIT · Free Forever

You say it. AutoCode ships it. Powered by iLang v5.0.

Citation

CITATION.cff; Zenodo archives each release. Concept DOI 10.5281/zenodo.22865145 (all versions).