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

Transforming Software Development Efficiency with AI-Driven Orchestration

In today’s competitive landscape, accelerating development cycles while maintaining high-quality output is essential. Recently, our team implemented an innovative approach leveraging advanced AI tools combined with a custom orchestration layer, resulting in a tenfold increase in our development speed.

This strategy revolves around deploying intelligent AI agents that collaboratively manage and review code, effectively transforming our coding workflow. Here’s an overview of the process:

1. Project initiation occurs within our project management system.
2. AI agents extract tasks through specialized commands tailored for automation.
3. They analyze our existing codebase, including design documents, documentation, and perform web research when necessary.
4. A comprehensive task description is generated, outlining specific requirements including test coverage.
5. AI agents develop production-ready code that adheres to our established standards.
6. The system automatically creates pull requests on GitHub.
7. A secondary AI agent conducts a meticulous line-by-line review of the proposed code.
8. The first AI agent evaluates the feedback—either accepting changes or providing rationales for preserving certain approaches.
9. Both AI agents learn from these interactions, continually refining their understanding for future tasks.
10. Remarkably, approximately 98% of the code produced is deployment-ready without human intervention.

A particularly fascinating aspect of this setup is observing AI agents engage in dynamic debates within GitHub comments, effectively teaching each other to become more proficient developers by deepening their understanding of our codebase.

For a detailed walkthrough of this process, watch our 10-minute demonstration video: [Link to YouTube].

While we’ve primarily applied this system within development, we’re exploring extensions into other areas, such as customer support and marketing. We’re eager to hear from others experimenting with AI-driven automation—especially any innovative strategies in marketing.

This evolution in workflows signals an exciting era for builders and organizations embracing AI to amplify productivity and innovation.