Our Journey: Boosting Development Speed by 10x Using Agentic AI Coding and a Personalized “Orchestration” Layer

Boosting Development Efficiency by Tenfold with AI-Driven Coding Orchestration

In recent months, our development team has experienced a transformative leap in productivity, enabling us to deliver months’ worth of features on a weekly basis. This significant upgrade stems from integrating advanced AI coding agents, including Claude Code, CodeRabbit, and other innovative tools, alongside a bespoke “Orchestration” layer that orchestrates their collaboration.

A key element behind this acceleration is not just the AI agents generating code independently, but their ability to critically review and improve each other’s work—mimicking a collaborative developer environment at scale.

Here’s an overview of our streamlined workflow:

1. Initiation: Tasks originate from the project management system.
2. Task Retrieval: AI agents receive directives through custom commands.
3. Research & Analysis: They examine our codebase, design docs, and documentation, supplementing with web research as needed.
4. Specification Drafting: Each AI creates a comprehensive task description, including testing coverage criteria.
5. Code Development: They implement production-ready solutions adhering to our established standards.
6. Pull Request Creation: An automatic GitHub PR is generated.
7. Code Review: A second AI agent performs a meticulous, line-by-line review.
8. Feedback & Response: The primary AI responds—either accepting suggestions or justifying its decisions.
9. Continuous Learning: Both AIs absorb insights from these exchanges, enhancing future performance.
10. Outcome: Our code reaches about 98% readiness for deployment before human oversight.

What truly fascinates us is observing these AI agents debate implementation strategies within GitHub comments, effectively teaching each other and refining their understanding of our codebase autonomously.

For a more detailed look, we documented a concise 10-minute walkthrough demonstrating this process: Watch the full workflow here.

While we’re currently expanding this system to areas like customer support, we’re also eager to explore its applications in marketing and other domains. We’d love to hear about innovative AI-driven processes others are developing, as we believe this is just the beginning of a new era in automated development.

It’s an exhilarating time to be building—embrace the future of AI-augmented workflows!