Our Experience: Boosting Our Development Speed Tenfold Using Agentic AI Coding and a Customized “Orchestration” Framework

Revolutionizing Development: How AI-Driven Orchestration Accelerated Our Workflow by 10X

In today’s rapid-paced tech landscape, streamlining development processes is crucial for staying ahead. Recently, we embarked on a transformative journey, leveraging cutting-edge AI tools combined with a custom orchestration layer to dramatically enhance our productivity. The result? We’re delivering months’ worth of features every week — a feat made possible by innovative automation and intelligent collaboration.

The Power of AI Collaboration

At the heart of our overhaul is a simple but powerful concept: AI agents don’t just generate code—they engage in a dynamic review process among themselves. This dual-review system ensures higher quality, quicker iterations, and less human review time. Here’s a glimpse into our streamlined workflow:

1. Initiation: A project task begins in our project management system.
2. Task Retrieval: AI agents fetch assigned tasks through custom command interfaces.
3. Contextual Analysis: The AI studies our existing codebase, documentation, and design files — supplemented with web research as necessary.
4. Detailed Planning: It then drafts a comprehensive task description, including specific testing and coverage requirements.
5. Implementation: The AI writes production-ready code in strict adherence to our coding standards.
6. Pull Request Creation: An automated process opens a GitHub pull request.
7. Code Review: Another AI agent performs an immediate, detailed line-by-line review.
8. Feedback Loop: The original AI responds to review comments—either accepting suggestions or providing justifications.
9. Continuous Learning: Both AI agents record and learn from each interaction, refining their future performance.
10. Outcome: Typically, over 98% of code is production-ready before any human oversight.

What’s truly fascinating is witnessing these AI agents debate subtle implementation details within GitHub comments. It’s as if they’re mentoring each other, becoming increasingly proficient and aligned with our coding standards—all without direct human intervention.

See it in Action

We’ve documented a concise 10-minute walkthrough demonstrating this entire process. Check it out here: https://www.youtube.com/watch?v=fV__0QBmN18

Looking Ahead

While this approach has revolutionized our development cycle, we’re exploring how similar systems can optimize other areas such as customer support, marketing, and beyond. We’re eager to learn about innovative implementations others are