×

Our Experience Doubling Developer Productivity Using Agentic AI Coding and a Tailored “Orchestration” Layer

Our Experience Doubling Developer Productivity Using Agentic AI Coding and a Tailored “Orchestration” Layer

Revolutionizing Development Productivity with AI-Powered Code Orchestration

In today’s fast-paced software landscape, accelerating development cycles without sacrificing quality is vital. At our organization, we’ve achieved a tenfold increase in development speed by harnessing the power of advanced AI tools combined with a custom orchestration system. Here’s an inside look at how this innovative approach is transforming our workflow and delivering results at an unprecedented rate.

Our methodology centers around deploying intelligent AI agents that don’t just generate code—they collaborate, review, and enhances each other’s work seamlessly. This peer-review process among AI agents ensures that the code quality is high before it even reaches human developers, significantly reducing review times.

Here’s a breakdown of our streamlined development pipeline:

  1. Initiation in the Project Management System
  2. AI Agents retrieve assigned tasks through specialized commands
  3. The AI thoroughly examines our existing codebase, designs, documentation, and conducts web research as needed
  4. It generates a comprehensive task outline, including specific test coverage standards
  5. The AI implements production-ready code in strict accordance with our established guidelines
  6. A pull request is automatically created on GitHub
  7. A second AI agent reviews the submitted code in detail, line by line
  8. The first AI responds to feedback—either accepting changes or providing justifications for its original implementation
  9. Both AI agents learn from each interaction, with insights stored to improve subsequent task execution

The outcome is striking: approximately 98% of the code reaches production standards before human review, dramatically reducing debugging and QA cycles. Witnessing these AI agents debate implementation choices directly within GitHub comments is nothing short of remarkable—they’re effectively teaching each other and becoming better developers as they deepen their understanding of our codebase.

We’ve prepared a concise 10-minute walkthrough demonstrating this process in action. You can watch it here: https://www.youtube.com/watch?v=fV__0QBmN18

While our current focus is on development acceleration, we’re equally excited about extending this AI-driven orchestration to other domains such as customer support and marketing. We’re eager to hear about how others are applying similar systems or exploring innovative uses of AI in their workflows.

This is certainly a thrilling era for builders and innovators alike. The possibilities are endless—and we’re just getting started.

Post Comment