Our Journey to Decuple Development Velocity Using Agentic AI Coding and a Tailored “Orchestration” Framework

Boosting Development Efficiency: How AI-Driven Automation Transformed Our Workflow

In the rapidly evolving landscape of software development, staying ahead requires innovation and efficient processes. At our company, we’ve harnessed the power of advanced AI tools—such as Claude Code, CodeRabbit, and custom orchestration layers—to significantly accelerate our development cycle, delivering months’ worth of features in just a week.

Our approach centers on leveraging AI not merely as a code-generating assistant but as an active reviewer that collaborates with other AI agents. This dynamic interaction creates a self-improving system where code quality and development speed soar simultaneously.

Here’s an overview of our innovative workflow:

1. Task initiation begins in our project management system.
2. AI agents extract tasks through bespoke commands tailored to our environment.
3. These agents analyze our existing codebase, design documents, and relevant references online to gather context.
4. They generate comprehensive task descriptions, including criteria for test coverage.
5. The AI develops production-ready code aligned with our coding standards.
6. A GitHub pull request is automatically created for the new code.
7. Another AI agent conducts a meticulous line-by-line review of the proposed changes.
8. The first AI responds to review feedback, either accepting or providing justification for its implementation choices.
9. Both AI agents learn from each interaction, refining their understanding for future tasks.
10. As a result, approximately 98% of code is deemed ready for deployment before any human intervention.

What’s truly remarkable is observing these AI agents engage in detailed debates within GitHub comments — effectively teaching each other and evolving their development capabilities through iterative knowledge exchange.

To showcase this process, we recorded a concise 10-minute walkthrough demonstrating the system in action. You can watch it here: https://www.youtube.com/watch?v=fV__0QBmN18

While our current focus is on augmenting development workflows, we’re also exploring applying similar systems to areas like customer support and marketing. We’re eager to hear how others are leveraging AI automation in their operations.

It’s an exciting era for innovators and builders — the future of software creation is here, and it’s powered by intelligent automation.