Our Journey to Decuple Developer Productivity Using Agentic AI Coding and a Custom “Orchestration” Framework

Revolutionizing Development Efficiency: How AI and Custom Orchestration Are Transforming Our Workflow

In today’s rapidly evolving tech landscape, staying ahead means embracing innovative tools and processes. Recently, we’ve achieved a remarkable tenfold increase in our development speed by integrating cutting-edge AI coding agents and a tailored orchestration system into our workflow.

Our approach centers around leveraging advanced AI agents, such as Claude Code and CodeRabbit, which do more than just generate code—they collaboratively review and refine each other’s work. This peer-review paradigm creates a dynamic environment where code quality improves continuously and rapidly.

Here’s an overview of our streamlined process:

1. Initiation with a project manager assigning a new task.
2. AI agents retrieve tasks through specialized commands.
3. They analyze our existing codebase, project designs, documentation, and pursue web research as needed.
4. Generate comprehensive task descriptions, including criteria for test coverage.
5. Develop production-quality code aligned with our standards.
6. Automatically submit a pull request on GitHub.
7. A secondary AI agent conducts a detailed line-by-line review of the proposed code.
8. The initial AI responds—either accepting suggestions or defending its implementation.
9. Both AI systems learn from these interactions, storing insights for future tasks.
10. The result? Nearly 98% of code is production-ready before any manual review.

What’s truly fascinating is witnessing the AI agents engage in discussions—debating implementation decisions directly within GitHub comments. This iterative “conversation” allows them to deepen their understanding of our codebase and continuously improve their coding capabilities, effectively teaching each other in real time.

For a closer look, we’ve prepared a concise 10-minute walkthrough demonstrating this innovative process. You can watch it here: https://www.youtube.com/watch?v=fV__0QBmN18

While we’re currently applying this methodology to software development, we’re also exploring its potential in other areas, such as customer support and marketing. We’d love to hear from fellow professionals experimenting with AI-driven systems—especially in creative or operational domains.

Exciting times lie ahead for those willing to reimagine how we build and optimize digital products. The future of development is here, and it’s intelligent, collaborative, and swift.