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

Transforming Development Efficiency with AI-Driven Code Orchestration

In today’s fast-paced tech landscape, accelerating development cycles without compromising quality is a constant challenge. Recently, our team embarked on an innovative journey by integrating cutting-edge AI tools and a custom “Orchestration” layer to dramatically boost our coding productivity—achieving a tenfold increase in development speed.

Our approach hinges on leveraging powerful AI agents that do more than just generate code; they collaboratively review, refine, and learn from each other throughout the process. This synergy has revolutionized how we develop features, pushing our capabilities to new heights.

Here’s an inside look at our streamlined workflow:

1. Initiation occurs via our project management system, where tasks are assigned.
2. An AI agent retrieves task specifics using tailored commands.
3. It thoroughly analyzes our existing codebase, design documents, and relevant web resources to inform its work.
4. A comprehensive task description is generated, outlining objectives and required test coverage.
5. The AI then develops production-ready code in strict adherence to our coding standards.
6. A GitHub pull request is automatically created once the implementation is complete.
7. A second AI agent performs an immediate, detailed review, examining the code line by line.
8. The original AI responds to the review feedback—either accepting suggestions or defending its implementation.
9. All interactions are logged, enabling the AI systems to learn and improve for future tasks.
10. The outcome is striking: approximately 98% of code arriving in production-ready form, needing minimal human intervention.

What’s truly fascinating is observing these AI entities engage in dynamic debates over implementation choices within GitHub comments. It’s akin to watching them teach and learn from each other, constantly sharpening their understanding of our code architecture.

We’ve created a short, 10-minute video walkthrough demonstrating this innovative process: Watch Here.

While our current focus is on development automation, we’re exploring how this orchestrated AI approach can extend into other domains such as customer support and marketing. We’d love to hear insights or experiences from others experimenting with similar systems.

Innovation like this makes building products an exhilarating experience—exciting times ahead for tech creators!