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

Revolutionizing Development Efficiency: Implementing AI-Driven Coding with Custom Orchestration

In today’s fast-paced software landscape, accelerating development cycles without compromising quality is a top priority. At our organization, we’ve achieved a tenfold increase in developer productivity by integrating advanced AI tools and custom workflow layers into our process. Here’s an inside look at how we’re leveraging cutting-edge AI agents—such as Claude Code and CodeRabbit—paired with a bespoke “Orchestration” layer to transform our engineering operations.

The core innovation lies in empowering AI agents not just to generate code but to collaboratively review and improve each other’s work. This peer-review mechanism among AI systems creates a dynamic, self-improving development environment, drastically reducing the need for manual oversight and increasing the quality of output.

Our streamlined workflow begins with task initiation in the project management system. An AI agent retrieves assigned tasks through specialized commands, thoroughly analyzing our codebase, designs, and documentation—supplemented with web research when necessary. It then crafts a comprehensive task description, explicitly outlining testing and coverage requirements before implementing production-ready code aligned with our standards.

Once the code is ready, the AI automatically opens a pull request in GitHub. A second AI agent then conducts an immediate and detailed line-by-line review. The first AI responds to this critique—either accepting the suggestions or explaining its rationale—fostering an interactive development debate. Both agents record insights from these exchanges, learning continuously to enhance future performance.

The remarkable outcome of this process is that approximately 98% of the code reaches a state suitable for deployment before human review is even initiated. Observing these AI agents debate, validate, and refine implementation details within GitHub comments offers a fascinating glimpse into their evolving expertise—they are effectively becoming collaborative, self-educating developers.

To illustrate this innovative workflow, we’ve prepared a detailed 10-minute walkthrough. You can watch it here: https://www.youtube.com/watch?v=fV__0QBmN18

Our intent is to extend this system beyond software development—potentially into customer support and other areas—by exploring how AI-driven orchestration can optimize operations. We’re eager to hear from others experimenting with similar approaches, especially within marketing and client engagement.

This is truly an exciting chapter in our journey of building smarter, faster, and more efficient systems for the future.