Connect any model, deploy in your own environment, and give your engineering team one company-controlled coding assistant.
Enterprise-grade AI coding companion.
For teams and developers of all scales.
Pay as you go with standard usage-based billing. Connect your own model or ours, and run Pibecode against any number of repositories with zero seat limits.
Shared repository context, collaborative workspace features, detailed usage insights, and seat management controls.
A completely private agent deployed in your VPC or on-prem. Enforce local-only code models, set custom compliance rules, and retain full data control.
Install the global CLI, run `pibecode init` in your project folder, and configure your preferred AI provider. Pibecode constructs a secure vector index of your project files to assist with complex tasks immediately.
Pibecode handles end-to-end tasks: from adding automated unit tests and implementing complex features, to codebase refactoring, migrations, and tracking down sneaky bugs.
Pibecode integrates directly with your terminal and IDE environment. Engineers can trigger prompt sessions or run automated task loops directly in their local editor or via CLI commands.
Absolutely. Pibecode indexes and executes actions in your local runtime or secure VPC container. Your code lines are never stored or transmitted to external parties without your permission.
Yes, Pibecode is fully model-agnostic. You can connect it to local models (e.g., Llama-3, DeepSeek-Coder via Ollama) or any public API endpoint (Google Gemini, OpenAI, Claude).
Yes. The Pibecode Enterprise tier is designed to support fully air-gapped network configurations with self-hosted AI models deployed in your cloud cluster or physical servers.
Bring Pibecode to your development environment.