Paragent runs AI coding agents in parallel cloud branches to automate feature development. You describe what you want in plain English, and Paragent handles the implementation process from planning to pull request creation without touching your main branch.

Key features include parallel branches that allow launching agents on 10 features at once, each with its own branch to avoid conflicts. The platform supports bring your own keys for AI models like OpenAI, Anthropic, or Gemini, giving you control over API costs. It integrates as a GitHub App with minimal permissions, reading trees and opening PRs without ever touching the main branch. Team collaboration is enabled through an agency plan that includes 5 seats for launching agents from a shared workspace.

Paragent works by creating a fresh git branch when you provide a prompt, then planning the implementation, writing code, and running your verification suite entirely in the cloud. The process happens in parallel across multiple features, with each agent operating independently on its own branch.

The primary benefit is automating the tedious parts of coding, allowing teams to ship features faster by describing requirements before lunch and reviewing PRs later. Use cases include adding features like Stripe checkout to pricing pages or handling multiple feature developments simultaneously without manual coding effort.

Target users include development teams who need to ship fast, particularly those using GitHub for version control. The product is GitHub native and SOC 2 ready, with technical details emphasizing that your code goes straight to your chosen model provider without being stored or logged by Paragent.