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

Transforming Development Efficiency with AI-Powered Orchestration at Our Company

In today’s fast-paced digital landscape, accelerating feature delivery without compromising quality is a key challenge. Recently, we implemented a revolutionary approach that has amplified our development speed tenfold. By integrating advanced AI coding agents with a customized “Orchestration” layer, we’ve transformed our workflow, enabling us to release complex features at an unprecedented pace.

The core of this breakthrough lies in AI collaboration. Unlike traditional tools that simply generate code, our AI agents actively review and critique each other’s work, fostering a dynamic and efficient development environment.

Here’s an overview of our enhanced process:

• Initiation begins with task assignment in our project management system.
• An AI agent retrieves and interprets tasks via tailored commands.
• It analyzes our existing codebase, project designs, documentation, and conducts web research when needed.
• The AI crafts a comprehensive task brief, including criteria for test coverage.
• It then develops production-ready code adhering to our standards.
• A pull request is automatically created on GitHub.
• A second AI agent immediately performs a line-by-line review of the proposed changes.
• The first AI responds to feedback, either accepting suggestions or providing justifications.
• Both agents learn from each interaction, refining their approaches for future tasks.
• Impressively, approximately 98% of the code reaches deployment readiness before human review.

What’s truly remarkable is observing these AI agents debating implementation details within GitHub comments—a process that resembles a mentorship session. They effectively teach each other by understanding our codebase deeper with each exchange, continually improving their capabilities.

We’ve recorded a concise 10-minute walkthrough that showcases this innovative workflow—check it out here: Watch the Demo.

While our current focus has been on development, we’re exploring expanding this systemic AI approach into other areas such as customer support and marketing. We’re eager to hear from others experimenting with similar strategies or interested in applying AI-driven orchestration across different functions.

It’s an exciting era for building and innovating—stay tuned for more insights from our journey!