Our Journey to Accelerate Development by Tenfold Using Agentic AI for Coding and a Tailored “Orchestration” Framework

Transforming Development Efficiency: Leveraging AI-Driven Coding and Custom Orchestration

In today’s rapidly evolving tech landscape, streamlining software development processes has become essential for maintaining a competitive edge. Recently, our team embarked on a journey to exponentially increase our development velocity by integrating cutting-edge AI tools and a bespoke “Orchestration” layer into our workflow. The result? We now deliver months’ worth of features every week—an achievement made possible through innovative automation and AI collaboration.

At the core of this transformation is our use of advanced AI agents that do more than generate code—they engage in iterative review processes with each other. This collaborative approach ensures higher quality, faster turnaround times, and continuous learning, effectively multiplying our productivity.

Here’s an inside look at how our system operates:

1. Task initiation begins within our project management platform.
2. AI agents retrieve relevant tasks through custom command integrations.
3. They then analyze our existing codebase, reference design documents, and perform web research when necessary.
4. The AI crafts comprehensive task descriptions, including specifics on test coverage and quality standards.
5. It proceeds to develop production-ready code aligned with our established guidelines.
6. Once the code is prepared, an automated pull request is generated on GitHub.
7. A secondary AI agent immediately conducts a detailed, line-by-line review of the proposed changes.
8. Feedback is exchanged: the original AI either accepts suggestions or defends its implementation.
9. Both agents learn from each interaction, storing valuable insights to enhance future tasks.
10. Ultimately, this process results in code that is approximately 98% ready for deployment before any human review.

An especially fascinating aspect of this system is observing how these AI agents effectively debate implementation strategies within GitHub comments. They are not just automating tasks—they are learning from each other, refining their coding skills, and deepening their understanding of our project’s architecture.

For a comprehensive understanding of this workflow, we’ve prepared a brief 10-minute video walkthrough: https://www.youtube.com/watch?v=fV__0QBmN18

Looking ahead, we plan to extend this orchestration approach beyond development, exploring applications in customer support and marketing. We’re eager to hear from others experimenting with AI-driven workflows—especially in areas like marketing automation or client engagement—that can benefit from similar strategies.

It’s truly an exciting era for innovation and efficient building in tech. We