Everything You Need to Know About Codai.pro
Learn how CodAI provides free client-side developer utilities and 100% private offline AI coding capabilities.
1General & Licensing
What is CodAI / Codai.pro?
CodAI (codai.pro) is an open-source platform providing free client-side developer utilities (JSON Formatter, JWT Decoder, SQL Formatter, Regex Tester, etc.) and an offline AI coding assistant designed to run 100% locally on your computer.
Is CodAI free for students and developers?
Yes, CodAI is 100% free and open-source under the GPL-3.0 license. There are no subscriptions, hidden fees, usage quotas, or credit card requirements.
How does CodAI Offline work without internet?
CodAI Offline runs lightweight local AI models (such as Qwen2.5, DeepSeek-R1-Distill, and Llama 3.2) using local hardware acceleration (CPU/GPU). Once downloaded, all prompt processing happens directly on your machine without requiring network access.
Is my source code private when using CodAI?
Absolutely. Zero code telemetry or user data is transmitted to external cloud servers. All browser tools process data in your local browser runtime, and CodAI Offline runs entirely on your local machine.
2Client-Side Tools & Models
Which developer tools are available on Codai.pro?
Codai.pro offers interactive tools including JSON Formatter & Validator, JWT Decoder, SQL Formatter, Base64 Encoder/Decoder, Regex Tester, Cron Schedule Generator, UUID Generator, and JSON to TypeScript interface converter.
Do the web tools send my data to a server?
No! Every tool on Codai.pro processes inputs strictly client-side within your browser. Your JSON payloads, JWT tokens, SQL queries, and string data never leave your browser.
Can I use CodAI offline in VS Code or JetBrains IDEs?
Yes! CodAI provides extension plugins and local server APIs compatible with VS Code, JetBrains IDEs, and terminal environments.
What AI models can I run locally with CodAI?
CodAI supports quantized GGUF models optimized for laptop and desktop hardware, including Qwen2.5-0.5B-Instruct, Llama-3.2-1B, DeepSeek-R1-Distill-Qwen, and TinyLlama.
3Installation & Hardware Requirements
How do I install CodAI on Windows, macOS, or Linux?
You can download installer binaries directly from our Download Center or build from source using GitHub releases. Instructions are provided on our documentation portal.
What system requirements are needed for local AI models?
Minimal requirements for light models (0.5B - 1.5B parameters) are 4 GB RAM and modern dual-core CPU. For larger models (7B+), 16 GB RAM and a dedicated GPU (Apple Silicon M-series, NVIDIA RTX, or AMD Radeon) are recommended.
Have more questions?
Explore our open-source codebase on GitHub or test tools directly in your browser.