--- license: mit tags: - ai-coding - i-lang - ilang-protocol - claude-code - cursor - developer-tools - vibe-coding pretty_name: AutoCode - AI Coding Skills Protocol configs: - config_name: default data_files: - split: train path: data/*.jsonl --- # ⚡ AutoCode
### You say it. AutoCode ships it. [![MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT) [![v6.2.2](https://img.shields.io/badge/version-6.2.2-blue.svg)](https://github.com/ilang-ai/autocode/releases) [![Skills](https://img.shields.io/badge/Skills-11-blueviolet)](#-11-skills-7-stages) [![Zero Deps](https://img.shields.io/badge/Dependencies-0-brightgreen)](#-install) [![Platforms](https://img.shields.io/badge/Platforms-any%20SKILL.md%20agent-blue)](#-install) [![iLang Spec](https://img.shields.io/badge/iLang-Spec-d4a858)](https://github.com/ilang-ai/ilang-spec) [![iLang](https://img.shields.io/badge/iLang-v5.0-1e3a8a.svg)](https://ilang.ai) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.22865145.svg)](https://doi.org/10.5281/zenodo.22865145) [🇨🇳 中文](docs/README.zh.md) · [🇯🇵 日本語](docs/README.ja.md) · [🇰🇷 한국어](docs/README.ko.md) · [🇪🇸 Español](docs/README.es.md) · [🇧🇷 Português](docs/README.pt.md) · [🇩🇪 Deutsch](docs/README.de.md) · [🇫🇷 Français](docs/README.fr.md) · [🇷🇺 Русский](docs/README.ru.md) · [🇸🇦 العربية](docs/README.ar.md) · [🇮🇳 हिन्दी](docs/README.hi.md) > **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 …):** ```bash 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`](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](https://platform.claude.com/plugins/autocode) **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 ```bash hermes skills install ilang-ai/autocode ``` ### Cursor Copy `skills/` into `~/.cursor/skills/`, or browse [Cursor Directory](https://cursor.directory) once listed. ### Gemini CLI ```bash 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](https://dev.ilang.ai)** — new users get **$300 free credit** (enough for over a year). **How to sign up:** 1. Click the link → registration page 2. Enter email, create password (10+ characters, mix of uppercase, lowercase, numbers) 3. Check email, click verification link 4. Payment: supports **credit card, PayPal, Alipay (支付宝)** 5. $300 free credit applied automatically **Create your cloud computer:** 1. Click **"Deploy +"** (top right) 2. **"Deploy New Server"** 3. **Type:** "Cloud Compute — Shared CPU" (cheapest) 4. **Location:** Closest to you (Tokyo for Asia, New York for Americas, London for Europe) 5. **Image:** "Debian 12" 6. **Plan:** $6/month (1 CPU, 1GB RAM — enough) 7. 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](https://putty.org). 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: ```bash curl -fsSL https://raw.githubusercontent.com/ilang-ai/autocode/main/setup.sh | bash ``` ### Step 4: Start Claude Code ```bash claude ``` Log in when prompted ([Anthropic account](https://console.anthropic.com) needed). ### 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/`](skills/product-study/examples/linear/). A complete run, study → build → verify → ship: [`skills/product-study/examples/dino/`](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`](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`](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 Powered by [iLang v5.0](https://ilang.ai). Structured instructions mean AI gets it right the first time. No rework. ## 🧠 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](https://ilang.ai) · [ilang.cn](https://ilang.cn) · [Hugging Face](https://huggingface.co/datasets/i-Lang/AutoCode) · [@adsorgcn](https://x.com/adsorgcn) **iLang Research · iLang Inc. · Canada · MIT · Free Forever** *You say it. AutoCode ships it. Powered by [iLang v5.0](https://ilang.ai).*
## Citation [CITATION.cff](CITATION.cff); Zenodo archives each release. Concept DOI [10.5281/zenodo.22865145](https://doi.org/10.5281/zenodo.22865145) (all versions).