instruction stringlengths 34 78 | ilang_chain stringlengths 101 429 | natural_language stringlengths 143 282 | category stringlengths 6 17 | verb_count int64 3 9 | aliases_used stringclasses 2
values |
|---|---|---|---|---|---|
Read a CSV file, filter rows, compute statistics, and output a markdown report | [PROTOCOL:I-Lang|v=3.0]
[READ:@LOCAL|path=sales.csv]
=>[FILT|whr=revenue>10000]
=>[GRP|grp=region]
=>[STAT|col=revenue]
=>[SORT|srt=mean,desc]
=>[FMT|fmt=md]
=>[WRIT:@LOCAL|path=report.md] | Read the sales.csv file, keep only rows where revenue exceeds 10000, group by region, calculate revenue statistics for each group, sort by mean revenue descending, format as markdown, and save to report.md | data_processing | 7 | null |
Scan codebase for TODO comments and generate a prioritized task list | [PROTOCOL:I-Lang|v=3.0]
[READ:@LOCAL|path=src/]
=>[FILT|mch=*.ts,*.tsx]
=>[SCAN|whr=TODO,FIXME,HACK,XXX]
=>[CLSF|typ=priority]
=>[SORT|srt=priority,desc]
=>[FMT|fmt=md]
=>[OUT] | Read all TypeScript files in the src directory, find all TODO, FIXME, HACK, and XXX comments, classify them by priority, sort highest priority first, format as markdown, and display the results | codebase_analysis | 7 | null |
Batch translate a README into 8 languages | [PROTOCOL:I-Lang|v=3.0]
[READ:@LOCAL|path=README.md]
=>[BATC|op=XLAT,lng=ja,ko,es,fr,de,pt,ru,zh]
=>[WRIT:@LOCAL|path=docs/README.{lng}.md] | Read README.md, translate it into Japanese, Korean, Spanish, French, German, Portuguese, Russian, and Chinese, saving each translation to the docs directory with the appropriate language code in the filename | localization | 3 | null |
Build a REST API endpoint with validation | [PROTOCOL:I-Lang|v=3.0]
[PLAN|goal=rest_endpoint]
=>[DRFT|typ=api_handler|mth=POST|path=/users]
=>[DRFT|typ=validation|lib=zod]
=>[DRFT|typ=error_handler]
=>[TEST|typ=unit,integration]
=>[WRIT:@LOCAL|path=src/routes/users.ts] | Plan a REST API endpoint, draft a POST /users handler, add Zod input validation, add error handling, write unit and integration tests, and save everything to the routes file | api_development | 5 | null |
Review a pull request for security and performance issues | [PROTOCOL:I-Lang|v=3.0]
[READ:@GH|path=pull/142]
=>[EVAL|focus=security,performance|depth=thorough]
=>[SCAN|whr=vulnerability,bottleneck]
=>[CLSF|typ=severity]
=>[FMT|fmt=md]
=>[OUT] | Read pull request #142 from GitHub, evaluate it thoroughly for security and performance issues, scan for vulnerabilities and bottlenecks, classify findings by severity, format as markdown, and display the review | code_review | 6 | null |
Deploy a static site to Cloudflare Pages | [PROTOCOL:I-Lang|v=3.0]
[PLAN|goal=deploy_static]
=>[EXEC|cmd=npm run build]
=>[TEST|typ=smoke|url=localhost:3000]
=>[EXEC|cmd=wrangler pages deploy dist/]
=>[TEST|typ=smoke|url=production_url]
=>[OUT|msg=deployment_status] | Plan the deployment, run the build command, smoke test locally, deploy to Cloudflare Pages using Wrangler, smoke test the production URL, and report deployment status | deployment | 6 | null |
Generate a database migration with rollback | [PROTOCOL:I-Lang|v=3.0]
[PLAN|goal=db_migration]
=>[DRFT|typ=migration_up|table=orders|col=status:enum]
=>[DRFT|typ=migration_down|table=orders|col=status]
=>[EVAL|sty=safety_check|whr=data_loss]
=>[WRIT:@LOCAL|path=migrations/003_add_order_status.sql] | Plan a database migration, draft the up migration adding a status enum column to orders table, draft the corresponding down migration, evaluate for potential data loss, and save the migration file | database | 4 | null |
Set up a CI/CD pipeline with GitHub Actions | [PROTOCOL:I-Lang|v=3.0]
[PLAN|goal=ci_cd_pipeline]
=>[DRFT|typ=workflow|trigger=push,pr]
=>[DRFT|typ=job|name=test|steps=checkout,install,lint,test]
=>[DRFT|typ=job|name=deploy|steps=build,deploy|needs=test]
=>[EVAL|sty=security_check|whr=permissions,secrets]
=>[WRIT:@LOCAL|path=.github/workflows/ci.yml] | Plan a CI/CD pipeline, draft a GitHub Actions workflow triggered on push and PR, create a test job with checkout, install, lint, and test steps, create a deploy job that depends on test passing, review security of permissions and secrets handling, and save the workflow file | devops | 5 | null |
Refactor a monolithic function into smaller composable units | [PROTOCOL:I-Lang|v=3.0]
[READ:@LOCAL|path=src/processOrder.ts]
=>[SCAN|whr=responsibility,side_effect]
=>[PLAN|goal=decompose|strategy=single_responsibility]
=>[DRFT|typ=refactor|pattern=extract_function]
=>[TEST|typ=regression]
=>[WRIT:@LOCAL|path=src/orders/] | Read the monolithic processOrder file, scan for distinct responsibilities and side effects, plan decomposition using single responsibility principle, draft refactored code extracting separate functions, run regression tests, and save the decomposed modules to the orders directory | refactoring | 6 | null |
Generate API documentation from source code | [PROTOCOL:I-Lang|v=3.0]
[READ:@LOCAL|path=src/routes/]
=>[FILT|mch=*.ts]
=>[SCAN|whr=endpoint,handler,param,response]
=>[FMT|fmt=openapi_yaml]
=>[WRIT:@LOCAL|path=docs/api.yaml]
=>[FMT|fmt=md]
=>[WRIT:@LOCAL|path=docs/API.md] | Read all TypeScript files in the routes directory, scan for endpoint definitions, handlers, parameters, and response types, generate an OpenAPI YAML spec, save it, also generate a human-readable markdown version, and save that too | documentation | 7 | null |
Analyze dependencies for security vulnerabilities | [PROTOCOL:I-Lang|v=3.0]
[READ:@LOCAL|path=package.json]
=>[EXEC|cmd=npm audit --json]
=>[SCAN|whr=severity:high,severity:critical]
=>[CLSF|typ=severity]
=>[SORT|srt=severity,desc]
=>[DRFT|typ=fix_plan]
=>[OUT] | Read the package.json, run npm audit, filter for high and critical severity vulnerabilities, classify by severity, sort most critical first, draft a fix plan for each vulnerability, and display the results | security | 7 | null |
Create a complete landing page from a description | [PROTOCOL:I-Lang|v=3.0]
[PLAN|goal=landing_page|sections=hero,features,pricing,cta]
=>[DRFT|typ=html|framework=tailwind]
=>[DRFT|typ=copy|ton=professional]
=>[DRFT|typ=responsive|breakpoints=sm,md,lg]
=>[EVAL|sty=accessibility|whr=aria,contrast,keyboard]
=>[WRIT:@LOCAL|path=index.html] | Plan a landing page with hero, features, pricing, and call-to-action sections, draft the HTML using Tailwind CSS, write professional copy, ensure responsive design across breakpoints, evaluate accessibility for ARIA labels, contrast, and keyboard navigation, and save the final page | frontend | 5 | null |
Greek alias shorthand for quick file processing | [PROTOCOL:I-Lang|v=3.0]
[READ:@LOCAL|path=logs/]=>[φ|mch=*.log]=>[∇|srt=size,desc]=>[μ|col=size]=>[Ω] | Read the logs directory, filter for .log files (φ=FILT), sort by size descending (∇=SORT), compute size statistics (μ=STAT), and output (Ω=OUT) | greek_aliases | 5 | φ=FILT, ∇=SORT, μ=STAT, Ω=OUT |
Merge multiple configuration files and detect conflicts | [PROTOCOL:I-Lang|v=3.0]
[READ:@LOCAL|path=config/]
=>[FILT|mch=*.json]
=>[Σ|strategy=deep_merge]
=>[SCAN|whr=conflict,override]
=>[Δ|base=config/default.json]
=>[WRIT:@LOCAL|path=config/merged.json] | Read all JSON files in the config directory, deep merge them (Σ=MERGE), scan for conflicting values, diff against the default config (Δ=DIFF), and save the merged result | greek_aliases | 6 | Σ=MERGE, Δ=DIFF |
Full project scaffolding from zero | [PROTOCOL:I-Lang|v=3.0]
[PLAN|goal=scaffold|stack=node,typescript,express,postgresql]
=>[EXEC|cmd=npm init -y]
=>[EXEC|cmd=npm i express pg zod dotenv]
=>[EXEC|cmd=npm i -D typescript @types/express @types/pg]
=>[DRFT|typ=tsconfig]
=>[DRFT|typ=project_structure|dirs=src/routes,src/db,src/middleware]
=>[DRFT... | Plan a Node.js TypeScript Express PostgreSQL project, initialize npm, install production and dev dependencies, create tsconfig, set up directory structure, draft the entry point, Dockerfile, and README, and save everything to the current directory | scaffolding | 9 | null |
⚡ 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
Log in when prompted (Anthropic account 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/.
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
Powered by iLang v5.0. 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 · 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).
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