Our Journey to Decupling Development Time by 10x Using Agentic AI Coding and a Custom “Orchestration” Framework

Unlocking Rapid Development with AI-Powered Automation and Custom Orchestration

In the fast-paced world of software development, efficiency and speed are paramount. Recently, our team adopted a revolutionary approach that has transformed our workflow, allowing us to deliver months’ worth of features on a weekly basis. This breakthrough combines advanced AI coding agents—leveraging tools like Claude Code and CodeRabbit—with a bespoke “Orchestration” layer designed to streamline and enhance our development process.

A key game-changer has been the collaborative nature of our AI agents. Instead of functioning as isolated code generators, they actively review and critique each other’s work, mimicking a peer-review process. This dynamic interaction not only accelerates code quality but also ensures a higher percentage of production-ready code before human review begins.

Here’s an overview of our innovative workflow:

1. Initiative originates from our project management system.
2. An AI agent retrieves tasks through custom commands.
3. It analyzes our existing codebase, design documentation, and web research if necessary.
4. The agent crafts a comprehensive task description, including specific test coverage criteria.
5. It then develops fully operational, production-quality code adhering to our established standards.
6. A GitHub pull request is automatically generated.
7. A secondary AI tool reviews the proposed code meticulously, line by line.
8. The first AI agent responds to feedback—either confirming its implementation or defending its approach.
9. Both agents learn from this exchange, storing insights for future tasks.
10. The outcome? An impressive 98% of code ready for deployment without human intervention.

What’s particularly fascinating is witnessing these AI agents engage in constructive “debates” within GitHub comments about implementation details. They’re essentially teaching each other, continuously refining their understanding of our codebase and development standards.

For a deeper dive, we’ve prepared a brief 10-minute walkthrough demonstrating this process in action. You can view it here: https://www.youtube.com/watch?v=fV__0QBmN18

Looking ahead, we’re exploring ways to extend this layered automation approach beyond development—considering applications in customer support and other areas. We’re also eager to learn from others experimenting with AI-driven systems in marketing and operational workflows.

It’s an exciting era for innovation and rapid building. The future of software development looks smarter and faster than ever.