Achieving a 10-Fold Increase in Development Speed Using Agentic AI Coding and Our Custom “Orchestration” Framework
Revolutionizing Development Efficiency: How We Achieved a 10x Boost with AI-Driven Coding and Custom Orchestration
In the fast-paced world of software development, staying ahead requires innovation and efficiency. Recently, our team embarked on a transformative journey to accelerate our development cycle exponentially. By integrating cutting-edge AI coding assistants like Claude Code and CodeRabbit, along with a bespoke “Orchestration” layer, we have redefined how features are built and delivered.
Harnessing the Power of AI Collaboration
What truly sets our approach apart is the collaborative nature of the AI agents. They don’t just generate code—they engage in peer reviews, critically analyzing each other’s work to ensure quality and adherence to standards. This self-review process acts as a powerful multiplier for productivity and code quality.
Our Streamlined Workflow
Here’s a detailed overview of our AI-powered development process:
- A new task is initiated within our project management system.
- An AI agent fetches the task using custom commands.
- The AI explores our codebase, design documents, and relevant web research to gather context.
- It crafts a comprehensive task description, specifying testing and coverage requirements.
- The AI develops production-ready code aligned with our coding guidelines.
- Once completed, a pull request is automatically generated on GitHub.
- A secondary AI tool reviews the code line-by-line, providing feedback.
- The initial AI responds to the review—either accepting suggestions or defending its implementation.
- The AI agents learn from each interaction, continuously refining their approach for future tasks.
Remarkably, this process results in approximately 98% of the code being ready for deployment before a human review.
The Fascinating AI Debate
What’s truly compelling is observing the AI agents debating implementation strategies within GitHub comments. They effectively teach each other, deepening their understanding of our codebase and elevating their development capabilities over time.
See It in Action
For an in-depth look, we’ve recorded a 10-minute walkthrough demonstrating this innovative workflow. You can watch it here: https://www.youtube.com/watch?v=fV__0QBmN18
Looking Beyond Development
While our current focus is on software engineering, we’re exploring how this system-driven approach can be applied in other areas—such as customer support and marketing. We’re eager to learn about others experimenting with AI-driven
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