Our Experience: Boosting Developer Productivity by Ten Times Using Agentic AI Coding and a Personalized “Orchestration” Layer

Transforming Development Efficiency: How Agentic AI and Custom Orchestration Accelerated Our Workflow

In today’s fast-paced software environment, staying ahead requires innovation not just in ideas but also in execution. Recently, our team implemented a groundbreaking approach by leveraging advanced AI agents combined with a custom “Orchestration” layer, dramatically boosting our development throughput. Here’s an inside look at how these tools have enabled us to deliver what used to take months, now in just a matter of days.

At the core of this transformation are AI agents that do more than generate code—they actively review each other’s work, creating a dynamic, collaborative coding environment. This process ensures higher quality, faster turnaround times, and nearly autonomous development cycles.

Our streamlined workflow is as follows:

1. Initiation from the project management dashboard
2. AI agents retrieve assigned tasks via customized commands
3. They analyze our existing codebase, design documentation, and conduct web research when necessary
4. A detailed task brief is formulated, including requirements for test coverage
5. The AI develops production-ready code following specific coding standards
6. A GitHub pull request is automatically generated
7. A second AI agent performs an immediate, line-by-line review of the proposed changes
8. The initial AI responds to review feedback, either accepting or defending its implementation
9. All AI interactions are logged and used to reinforce learning for subsequent tasks

Remarkably, this process results in code that’s approximately 98% ready for deployment before human developers even review it.

What’s truly fascinating is observing these AI agents engage in detailed “debates” within GitHub comments—discussing implementation nuances and collaboratively refining their output. They essentially teach each other to become more proficient developers, all while gaining a deeper understanding of our code ecosystem.

For those interested in how this all works in practice, we’ve prepared a concise 10-minute demonstration video detailing the entire process: Watch Here

While our current focus is on automating development, we’re also exploring expanding this approach to other areas such as customer support and marketing automation. We’d love to hear from the community—what innovative applications are you exploring with AI in your workflows?

It’s undoubtedly an exhilarating time for builders and entrepreneurs alike. Embracing these technological advancements opens new horizons for efficiency and creativity.

Stay tuned for more insights as we continue to push the boundaries of automated development.