How We Increased Our Development Velocity Tenfold Using Agentic AI Coding and a Personalized “Orchestration” Framework

Unlocking Quantum Growth in Software Development with AI-Powered Automation

In the rapidly evolving landscape of software engineering, efficiency and quality are paramount. Recently, our team revolutionized our development workflow by integrating advanced AI agents and a custom orchestration system, enabling us to deliver features at an unprecedented pace—sometimes as much as ten times faster than before.

Transforming Development with Collaborative AI

The cornerstone of this transformation lies in deploying multiple AI tools that don’t just generate code but actively review and refine each other’s work. This collaborative approach results in highly polished, production-ready code with minimal human intervention.

Our Streamlined Workflow

Here’s an overview of how our AI-driven process operates:

• Tasks originate from our project management platform.
• Custom commands enable AI agents to retrieve and understand task details.
• The AI agents analyze our existing codebase, design documents, and relevant research to gain context.
• They generate comprehensive task descriptions, including specific requirements for testing and quality.
• Following our coding standards, the AI implements robust, production-ready solutions.
• A GitHub pull request is automatically created for transparency and further oversight.
• A second AI agent conducts an immediate, thorough line-by-line review of the proposed code.
• The initial AI responds to feedback, either accepting the suggestions or defending its implementation choices.
• Throughout this process, both AI agents learn from each interaction, continuously refining their capabilities for future tasks.

Remarkably, this cycle achieves approximately 98% of the code being ready for deployment before human review is involved.

Watching AI Agents Collaborate and Evolve

One of the most fascinating aspects is observing these AI systems engage in code debates within GitHub comments—essentially teaching and learning from each other to enhance their development proficiency. This dynamic not only accelerates our workflows but also fosters a self-improving ecosystem of code generation.

See It in Action

We’ve documented a comprehensive 10-minute walkthrough demonstrating this innovative approach. Curious to see it in motion? Check it out here: https://www.youtube.com/watch?v=fV__0QBmN18

Looking Ahead

While we’ve started with development, our sights are set on leveraging this system for other areas like customer support and marketing. We’re eager to explore how AI collaboration can redefine efficiency across various facets of business operations.

This is undeniably an exciting era for product development and automation. If you’re exploring similar innovations or have insights to share, we’d