Our Journey to Decuple Our Development Velocity Using Agentic AI Coding and a Personalized “Orchestration” Framework

Revolutionizing Software Development: Achieving 10x Speed with AI-Driven Automation and Custom Orchestration

In the rapidly evolving landscape of software engineering, embracing innovative automation techniques can dramatically accelerate project timelines and enhance code quality. Recently, our team has implemented a cutting-edge workflow leveraging advanced AI tools—such as Claude Code and CodeRabbit—along with a proprietary “Orchestration” layer, resulting in a tenfold increase in development efficiency.

At the core of this transformation is not merely AI generating code, but a collaborative framework where AI agents critically review each other’s work, fostering a self-correcting and continuously improving development cycle.

Our streamlined process unfolds as follows:

• Initiation begins with a task assignment from the project management system.
• AI agents retrieve tasks using custom command integrations.
• They analyze our existing codebase, design documents, and related online resources to inform their work.
• A comprehensive task description is generated, outlining detailed requirements and testing coverage.
• Production-ready code is authored in strict adherence to our coding standards.
• The system automatically submits a pull request to GitHub.
• A secondary AI agent performs an immediate, line-by-line review of the proposed changes.
• The initial AI responds to review feedback—either defending its implementation or revising as necessary.
• All interactions and lessons learned are stored for future reference, continuously refining the AI’s capabilities.

The most remarkable aspect? These AI agents engage in dynamic debates within GitHub comments, effectively teaching each other to become better developers by deepening their understanding of our architecture and coding practices.

To see this innovative approach in action, we recorded a brief 10-minute walkthrough explaining the entire process: Watch the video here.

While our current focus is on scaling this system across development workflows, we’re also exploring applications in customer support and marketing automation. We’d love to hear from fellow professionals experimenting with AI-driven systems—sharing insights and ideas to shape the future of efficient building.

This is truly an exciting era for software development and organizational innovation. Embracing AI-powered orchestration is not just a trend—it’s a strategic advantage.