Our Journey to a 10-Fold Increase in Development Speed Using Agentic AI Coding and a Custom “Orchestration” Layer

Enhancing Developer Efficiency with AI-Driven Automation and Custom Orchestration

In today’s fast-paced software development landscape, efficiency and rapid deployment are more critical than ever. Recently, our team embraced cutting-edge AI tools and custom workflow orchestration to dramatically accelerate our development cycle, achieving the remarkable feat of delivering what traditionally takes months within weeks.

Our approach leverages advanced AI agents—using platforms like Claude Code and CodeRabbit—that not only generate code but actively engage in reviewing each other’s work. This collaborative, AI-driven review process acts as a powerful multiplier, ensuring higher quality and faster iteration times.

Here’s an overview of our innovative workflow:

1. The process begins with task assignment in our project management system.
2. AI agents retrieve the specified tasks through custom commands tailored to our needs.
3. They analyze our existing codebase, design documents, and relevant online resources to inform their work.
4. A detailed task description is crafted, including specific test coverage criteria.
5. The AI then develops production-ready code aligned with our predefined standards.
6. A GitHub pull request is automatically created to facilitate integration.
7. A second AI tool executes a line-by-line review, scrutinizing the proposed implementation.
8. The initial AI responds to the review, defending or adjusting its code as necessary.
9. Both AI agents learn from this interaction, optimizing their future performance.
10. As a result, approximately 98% of the code is production-ready prior to human intervention.

What truly sets this process apart is witnessing the AI agents engage in constructive debate right within GitHub comments—effectively teaching each other and refining their understanding of our codebase in real-time.

For an in-depth look at how this system operates, we invite you to watch a detailed 10-minute walkthrough here: Watch the Demo.

While our initial focus has been on development acceleration, we’re exploring broad applications of this system, including customer support automation and marketing initiatives. We’re eager to hear what other teams are experimenting with—especially in innovative fields like marketing automation and process optimization.

This is an exciting era for product development and operational efficiency, and we’re thrilled to be at the forefront of integrating AI into our workflows.