Our Journey to Boosting Development Velocity by 10x Using Agentic AI Coding and a Tailored “Orchestration” Layer

Transforming Development Efficiency with AI-Driven Automation and Custom Orchestration

In the rapidly evolving landscape of software development, leveraging cutting-edge AI tools has become a game-changer. Our team recently integrated advanced AI agents—powered by platforms such as Claude Code and CodeRabbit—alongside a bespoke “Orchestration” layer to significantly accelerate our workflow. The outcome? We now deploy a multitude of features on a weekly basis, a feat previously unimaginable.

Central to this transformation is the collaborative nature of the AI agents. Rather than merely generating code, they engage in iterative reviews of each other’s work, fostering a peer-review dynamic that elevates code quality and reduces manual oversight.

Here’s an overview of our streamlined process:

1. Initiation begins with task assignment in our project management system.
2. An AI agent retrieves tasks through tailored commands.
3. It conducts a comprehensive analysis of our existing codebase, designs, documentation, and performs web research as needed.
4. A detailed task description is generated, outlining requirements—including test coverage expectations.
5. The AI implementation produces robust, production-ready code aligned with our standards.
6. A pull request is automatically created on GitHub.
7. A second AI agent immediately conducts a meticulous line-by-line review.
8. The original AI responds to the feedback—either incorporating suggestions or defending the initial approach.
9. Insights from each interaction are stored, enabling continuous learning and process refinement.
10. Over time, this cycle results in code that’s approximately 98% ready for deployment prior to human review.

What’s particularly fascinating is witnessing these AI agents engage in technical debates through GitHub comments. They effectively teach and learn from each other, deepening their understanding of our codebase and enhancing their development capabilities.

For a closer look at this innovative workflow, we’ve prepared a concise 10-minute walkthrough: Watch it here.

While our primary focus has been on accelerating development, we’re exploring ways to extend this system into other areas such as customer support and marketing. We’re eager to hear from others experimenting with similar AI-driven automation—sharing insights could inspire new possibilities across industries.

This era of AI-powered development is truly exciting for builders and innovators alike. The future is here, and it’s shaping the way we create software.