Boosting Our Development Velocity Tenfold Using Agentic AI Coding and a Custom “Orchestration” Layer

Revolutionizing Development Efficiency: How AI-Driven Orchestration Transformed Our Workflow

In the rapidly evolving landscape of software development, staying ahead requires innovative strategies and cutting-edge tools. Recently, our team embarked on a transformative journey to significantly accelerate our development cycle, leveraging advanced AI agents and a customized orchestration framework. The results have been astonishing—enabling us to deliver months’ worth of features on a weekly basis.

A cornerstone of this success is the collaborative approach between AI agents. Unlike traditional automation, these intelligent systems don’t just generate code; they actively review and critique each other’s work, effectively acting as a dual-developer team that enhances quality and speed simultaneously.

Here’s a glimpse into our streamlined process:

1. Initiation in the project management platform, where tasks are defined and prioritized.
2. Our AI tools, including Claude Code and CodeRabbit, retrieve tasks through bespoke commands.
3. The agents analyze our existing codebase, design documents, and online research to inform their work.
4. They formulate comprehensive task descriptions, detailing objectives and testing criteria.
5. The agents then develop production-ready code aligned with our standards.
6. A pull request is automatically generated in GitHub for transparency and tracking.
7. An additional AI agent conducts an immediate, detailed line-by-line review of the proposed code.
8. The original AI responds to review comments, either acquiescing or providing justifications.
9. Each interaction serves as a learning opportunity, refining future AI performance.
10. Ultimately, approximately 98% of the code is production-ready before human intervention is required.

What truly amazes us is observing these AI agents engage in real-time debate over implementation details within GitHub comments. They are effectively simulating peer review conversations, continually improving their coding capabilities and understanding of our infrastructure without direct human input.

To showcase this innovative process, we recorded a brief 10-minute walkthrough that illustrates the entire workflow in action. You can watch it here: https://www.youtube.com/watch?v=fV__0QBmN18

While our current focus is on refining development speed, we’re also exploring how this AI orchestration can be applied to other areas—such as customer support and marketing strategies. We’re eager to hear from others experimenting with similar systems or interested in leveraging AI for operational excellence.

This is undoubtedly an exciting era for builders and innovators alike. The future is AI-enhanced development