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

Transforming Development Efficiency: How Agentic AI and Custom Orchestration Boosted Our Workflow

In the rapidly evolving landscape of software development, staying ahead requires innovative approaches and leveraging cutting-edge tools. Recently, our team embarked on a journey to dramatically accelerate our development pace by integrating advanced AI agents and creating a tailored orchestration system. The results have been nothing short of transformative, enabling us to deliver months’ worth of features each week.

A Key Difference: AI Collaboration with Code Review

The core of this breakthrough lies in our AI agents not merely generating code, but actively collaborating and scrutinizing each other’s work. This peer-review process mimics a dynamic developer environment, ensuring higher quality and faster turnaround times.

Here’s a glimpse into our optimized workflow:

1. Initiate tasks through our project management tool.
2. Deploy AI agents with custom commands to pull and prioritize these tasks.
3. Have the agents analyze our existing codebase, design documentation, and conduct web-based research when necessary.
4. Generate comprehensive task descriptions, including specific test coverage and quality standards.
5. Implement production-ready code adhering to our coding guidelines and best practices.
6. Automate opening pull requests in GitHub to streamline review processes.
7. A second AI agent performs a meticulous line-by-line review of the proposed code.
8. The initial AI responds to the review feedback, either amending the code or defending its approach.
9. Both AI agents continuously learn from these interactions, refining their future performance.
10. As a result, approximately 98% of the code is deployment-ready before any human intervention.

What’s truly fascinating is witnessing the AI agents engaging in real-time ‘debates’ within GitHub comments, collaboratively troubleshooting implementation challenges. They’re essentially teaching each other to become more proficient developers, deepening their understanding of our codebase.

To provide a clearer picture, we’ve prepared a concise 10-minute demonstration highlighting this entire process: Watch the walkthrough here.

Looking ahead, we’re exploring how this integrated system can extend beyond development—potentially revolutionizing customer support or marketing workflows. We’re eager to hear from others experimenting with similar AI-powered approaches.

This is an exciting era for innovation in software creation, and we’re thrilled to be part of it. Stay tuned for more updates as we continue pushing the boundaries of what’s possible.