Our Journey to a 10x Increase in Development Speed Using Agentic AI Coding and a Tailored “Orchestration” Layer

Transforming Development Speed: How AI-Driven Workflow Revolutionized Our Coding Process

At our company, we’ve embarked on a journey to radically accelerate our software development cycle. By integrating advanced AI tools like Claude Code, CodeRabbit, and a custom “Orchestration” Layer, we’ve achieved a remarkable tenfold increase in our development velocity. Here’s an inside look at how these innovations are streamlining our workflow and enabling us to deliver features at a pace previously thought impossible.

Our Approach: Collaborative AI as Co-Developers

The core of our strategy involves AI agents not only generating code but also actively reviewing each other’s work. This peer-review mechanism ensures higher quality and consistency, significantly reducing the need for extensive human oversight.

Here’s an overview of our process:

1. Task Initiation: Our project manager defines a new feature or fix.
2. AI Task Retrieval: Custom commands allow AI agents to acquire tasks directly.
3. Contextual Analysis: The AI agents analyze our existing codebase, design documents, and relevant web research if necessary.
4. Detailed Planning: They craft comprehensive task descriptions, specifying requirements such as test coverage.
5. Implementation: The AI develops production-ready code adhering to our coding standards.
6. Automated Submission: A pull request is created automatically on GitHub.
7. Peer Review: A second AI tool reviews the new code line-by-line.
8. Dynamic Feedback: The first AI responds to the review, either accepting suggestions or defending its approach.
9. Learning Loop: Both AIs incorporate insights from this exchange, continuously improving their processes for future tasks.
10. Outcome: Approximately 98% of the code is deployment-ready before any human review.

A Self-Teaching Development Ecosystem

One of the most fascinating aspects of this system is observing AI agents engaging in code debates via GitHub comments. They effectively teach themselves and each other, deepening their understanding of our codebase and database of best practices—drastically enhancing their development capabilities over time.

To illustrate this innovative workflow, we’ve prepared a brief 10-minute video walkthrough: https://www.youtube.com/watch?v=fV__0QBmN18

Expanding Horizons: Beyond Development

While our current focus is on software delivery, we see enormous potential to apply this AI-driven system to other areas such as customer support, marketing, and operational processes. We’re excited to explore these possibilities further and would love