What is Project Pak-LLM Coder and who developed it?

Project Pak-LLM Coder (coder.pak-llm.com) is an autonomous AI software engineering and programming platform developed by SBF Consultancy (Pvt.) Ltd. (sbf-consultancy.net) in Karachi, Pakistan, powered by the sovereign Pak-LLM Coder engine with native bilingual support for English and Urdu natural language commands.

What is the official pricing for Pak-LLM Coder subscription tiers?

Pak-LLM Coder offers three transparent PKR packages with 0% Riba: Awam Free at PKR 0/month (250,000 monthly tokens), Freelancer Pro at PKR 1,850/month (15,000,000 monthly tokens with priority GPU compute), and Agency Enterprise at PKR 6,500/month (60,000,000 monthly tokens with dedicated inference pod).

What domestic payment methods are supported via Swich Gateway?

Swich Multi-Rail Payment Gateway supports Pakistani Debit and Credit Cards (Visa, Mastercard, PayPak), JazzCash mobile accounts, EasyPaisa wallets, and 1Link Inter-Bank Fund Transfer (IBFT) with 0% Riba interest.

How do I install the Pak-LLM CLI Agent on Linux, macOS, or Windows?

On Linux, macOS, and WSL, run: curl -fsSL https://coder.pak-llm.com/install.sh | bash. On Windows PowerShell, run: irm https://coder.pak-llm.com/install.ps1 | iex. Authentic pre-built 64-bit standalone binaries with cryptographic SHA-256 and detached PGP signature verification are also available on coder.pak-llm.com/downloads.

What programming languages and runtime interpreters are supported?

Pak-LLM Coder includes built-in in-browser and desktop interpreters for Python 3.12 (Pyodide WASM), Node.js v22 (V8 Sandbox), TypeScript 5.5, Rust 1.78, Go 1.22, SQLite 3.45, and POSIX Bash with interactive terminal runners and real-time execution outputs.

How do token quotas, auto-replenishment, and emergency tranches work?

Accounts receive monthly token quotas according to their tier. If monthly tokens are exhausted before renewal, an automated emergency daily tranche (Total Monthly Quota ÷ 30) is added automatically. Automated SMTP email alerts notify users at 75%, 50%, 25%, and 0% remaining tokens.

Sovereign Language Engineering

Bilingual Urdu & English Natural Language Prompting

Pak-LLM Coder features a native Nastaliq BPE tokenizer achieving 1.08 tokens/word overhead. Developers can issue complex programming instructions, architectural refactors, and diagnostic questions in native Urdu (اردو) or English, compiling directly into production-grade Python, TypeScript, Go, and SQL.

Example Bilingual Engineering Prompts

Objective	Urdu Prompt (اردو)	Synthesized Architecture
FastAPI CRUD Endpoint	ایک تیز رفتار FastAPI اینڈ پوائنٹ بنائیں جو صارفین کی توثیق اور JWT ٹوکن سپورٹ کرے۔	FastAPI + Pydantic v2 + PyJWT
React Component Refactor	اس ری ایکٹ کمپوننٹ کو اپ گریڈ کریں تاکہ ڈارک موڈ اور ریسپانسیو نیویگیشن بغیر کسی فِلکر کے چلے۔	Tailwind CSS + Next.js SSR Theme
Database Migration	پوسٹگریس میں کسٹمر سبسکرپشنز کے لیے ایک محفوظ ٹیبل اور انڈیکس ڈیزائن کریں۔	SQL DDL + B-Tree Index + Foreign Keys

Dialect & Code-Switching Tolerance

Pak-LLM Coder gracefully parses mixed Roman Urdu, Nastaliq Urdu script, and English technical nomenclature. Developers can write naturally without needing to translate technical terms like async/await, middleware, or Postgres into literal phrases.

← Back to Documentation Guide Try Urdu Prompts in Mission Control