Our Journey to Decupling Developer Productivity by Tenfold Using Agentic AI Coding and a Tailored “Orchestration” Framework

Transforming Development Speed with AI-Driven Workflow Optimization

In the fast-paced world of software development, staying ahead requires innovation and efficiency. Recently, we implemented a groundbreaking approach combining advanced AI tools with a custom orchestration layer, resulting in a tenfold increase in our development velocity. This post offers a behind-the-scenes look at how these technologies have revolutionized our process, enabling us to deliver features at an unprecedented pace.

Our core strategy centers on leveraging AI agents not merely for code generation but for collaborative code review. This synergy ensures code quality and speed go hand in hand, achieving what was previously unattainable.

Here’s an overview of our streamlined workflow:

1. Initiation in the project management system
2. AI agents retrieve tasks through specialized commands
3. They examine our codebase, design documents, and online resources as needed
4. They craft comprehensive task descriptions, including testing criteria
5. The agents develop production-ready code adhering to our coding standards
6. A pull request is automatically created on GitHub
7. A second AI agent conducts a meticulous line-by-line review of the proposal
8. The original AI responds to feedback—either refining the code or defending its initial approach
9. All interactions are logged, enabling continuous learning for future tasks
10. The outcome? Nearly 98% of code is production-ready before human intervention

What’s truly fascinating is observing these AI agents engage in technical debates within pull requests. They effectively evaluate implementation options and teach each other, deepening their understanding of our project as they collaborate.

To illustrate this process, we’ve prepared a concise 10-minute walkthrough: Watch the demonstration here.

While our primary focus has been on accelerating software development, we see enormous potential for extending this system to domains such as customer support and marketing. We’re eager to hear from others experimenting with similar systems—especially how AI can transform content creation, outreach, and client engagement.

Indeed, this is an exciting era for innovative development and operational strategies. Embracing these tools opens new horizons for productivity and quality.

Stay tuned for more insights as we continue to refine and expand our AI-powered workflows.