Our Journey to a Tenfold Increase in Development Speed Using Agentic AI Coding and a Personalized “Orchestration” Layer

Maximizing Development Efficiency with AI-Powered Automation and Custom Orchestration

In the ever-evolving landscape of software development, leveraging cutting-edge tools can dramatically accelerate project timelines and enhance code quality. Recently, our team embarked on a transformative journey, integrating AI-driven coding assistants and a bespoke orchestration layer to revolutionize our workflow.

Our approach hinges on the collaborative capabilities of AI agents. Unlike traditional automation, these agents not only generate code but also engage in peer reviews—evaluating each other’s contributions to ensure robustness and accuracy.

Here’s an overview of our innovative process:

1. Project initiation begins with task assignment in our project management system.
2. An AI agent retrieves assigned tasks through tailored commands.
3. It analyzes our existing codebase, design documents, and relevant resources, supplementing with web research as necessary.
4. A comprehensive task outline is crafted, encompassing testing and coverage specifications.
5. The AI develops production-ready code aligned with our standards and best practices.
6. An automatic pull request is generated in GitHub.
7. A second AI agent performs a meticulous, line-by-line review of the proposed code.
8. The initial AI responds to review feedback—either accepting adjustments or providing rationale for its original approach.
9. Each interaction contributes to a shared knowledge base, enhancing future task execution.
10. As a result, approximately 98% of the code is production-ready before human intervention.

One of the most fascinating aspects is observing how these AI agents engage in detailed discussions within GitHub comments. They effectively teach and learn from each other, deepening their understanding of our codebase and refining their coding capabilities.

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

While our current focus is on development, we’re exploring broader applications of this system—envisioning uses in customer support and other areas. We’d love to hear insights or experiences from others experimenting with AI-driven automation, particularly in marketing or operations.

It’s an exciting era for innovation in building smarter, faster teams. Stay tuned!