Our Journey to Decupling Development Speed by Tenfold Using Agentic AI Coding and a Tailored “Orchestration” Framework (Variation 37)

Maximizing Development Efficiency with AI-Powered Automation and Custom Orchestration

In today’s fast-paced software landscape, accelerating the development cycle without sacrificing quality is a key competitive advantage. Recently, our team implemented an innovative approach leveraging advanced AI tools—specifically Claude Code, CodeRabbit, and a self-designed “Orchestration” layer—to dramatically boost our development velocity.

This strategy revolves around AI agents not merely generating code but actively reviewing each other’s work, mimicking collaborative developer interactions. This dual-layer review process ensures high-quality, production-ready code with minimal human intervention.

Here’s an overview of our streamlined workflow:

1. Initiation: Tasks originate from our project management system.
2. Task Acquisition: AI agents retrieve tasks through custom command interfaces.
3. Contextual Analysis: They then examine our existing codebase, design documents, and relevant resources—performing web research when necessary.
4. Detailed Planning: Each agent crafts comprehensive task descriptions, including specific test coverage criteria.
5. Implementation: The AI writes production-ready code that adheres to our internal standards.
6. Automation Integration: A GitHub pull request is automatically generated.
7. Peer Review: A second AI agent performs a meticulous line-by-line review of the proposed changes.
8. Feedback Loop: The first AI responds to suggestions—either accepting adjustments or justifying its original approach.
9. Continuous Learning: Both agents record insights from these exchanges, enhancing future performance.

Remarkably, this process results in approximately 98% of code being deployment-ready before any human review takes place. Witnessing these AI agents debate implementation strategies within GitHub comments has been particularly fascinating—they’re essentially teaching each other to become more proficient developers while gaining deeper insights into our project.

To illustrate this workflow, we’ve prepared a concise 10-minute walkthrough video explaining each step: Watch Here.

While our primary application has been development, we’re exploring extending this methodology into other areas such as customer support and marketing. We’re eager to learn about strategies others are trying, especially in areas beyond coding.

This innovative approach marks an exciting era for software creation, unlocking unprecedented speeds and efficiencies.

Stay tuned for more insights as we continue to evolve our automation systems.