Boosting Our Development Velocity Tenfold Using Agentic AI Coding and a Personalized “Orchestration” Framework

Transforming Development Speed with Advanced AI Integration: Our Experience with Custom Orchestration

In the rapidly evolving landscape of software development, staying ahead requires innovative strategies and cutting-edge tools. Recently, we embarked on a journey to significantly accelerate our development cycle by harnessing the power of AI-driven code generation and a bespoke orchestration layer. The results have been remarkable, enabling us to deliver multiple months’ worth of features each week.

A key driver behind this success is the use of intelligent AI agents that not only generate code but also critically review and refine each other’s work. This collaborative approach fosters a dynamic, self-improving environment that closely mirrors human peer review.

Our streamlined workflow begins with task initiation in our project management system. AI agents then retrieve these tasks through custom commands, thoroughly analyze our existing codebase, project designs, documentation, and conduct web research as necessary. They craft detailed task descriptions, including specific test coverage requirements, before producing production-ready code aligned with our standards.

Once the code is prepared, a GitHub pull request is automatically generated. Immediately following this, a second AI entity examines the code line-by-line, providing feedback or approval. The original AI responds to these comments—either defending its implementation choices or making adjustments. Each interaction enriches the AI’s understanding, with learnings stored for future tasks, continuously enhancing the development process.

The most striking outcome is that approximately 98% of our code reaches production standards without human intervention, dramatically reducing review cycles and manual effort.

One of the most fascinating aspects is observing AI agents engaging in code discussions within GitHub comments—debating implementation strategies and effectively teaching each other to become better developers through shared understanding.

We documented a brief 10-minute walkthrough demonstrating this innovative workflow, which you can view here: https://www.youtube.com/watch?v=fV__0QBmN18

Looking ahead, we’re exploring extending this systematic AI approach beyond development—potentially into areas like customer support. We’re eager to learn from others experimenting with similar integrations, especially in marketing and other domains.

This is undoubtedly an exciting era for builders and innovators alike. Embracing such technologies could redefine how your team operates, delivering faster, smarter, and more reliable results.