Our Journey to Decuple Our Development Velocity Using Agentic AI Coding and a Tailored “Orchestration” Framework

Transforming Software Development Efficiency with AI-Driven Automation and Custom Orchestration

In today’s rapidly evolving tech landscape, accelerating development cycles without compromising quality is a continual challenge. Recently, our team embraced cutting-edge AI tools paired with a bespoke orchestration layer to revolutionize our coding process. The results? A tenfold increase in development speed and a more collaborative, intelligent workflow.

This innovative approach centers around deploying AI agents that don’t merely generate code—they actively review and refine each other’s work. This peer-review dynamic ensures higher quality outputs with minimal human intervention and streamlines our release schedule significantly.

Here’s an overview of our AI-powered development pipeline:

1. Task Initiation: Our project management system assigns new features or bug fixes.
2. Task Acquisition: Custom AI commands gather the task details and relevant code snippets.
3. Contextual Analysis: The AI examines our codebase, design docs, and research resources to understand the scope.
4. Specification Drafting: It generates comprehensive task descriptions that include testing and coverage standards.
5. Code Implementation: The AI produces production-ready code aligned with our coding standards.
6. Pull Request Generation: An automatic GitHub PR is created for transparent tracking.
7. Peer Review by AI: A second AI agent conducts a meticulous line-by-line review, providing feedback.
8. Interactive Refinement: The original AI responds to the review, either defending its approach or making adjustments.
9. Learning Loop: Both AI agents log their interactions to enhance future performance.
10. High-Quality Output: On average, 98% of the code is deployment-ready before human review begins.

One of the most fascinating aspects of this process is witnessing the AI agents engage in call-and-response-style debates within GitHub comments. They effectively teach each other, deepening their understanding of our codebase and improving their coding strategies over time.

To give you a clearer picture, we recorded a short 10-minute walkthrough demonstrating this workflow in action. You can watch it here: https://www.youtube.com/watch?v=fV__0QBmN18

While our current focus is on development, we’re exploring applying this AI-driven orchestration to other areas such as customer support and marketing. We’re eager to hear from others experimenting with similar systems—especially those pushing automation in marketing, content creation, and operations.

This is an exciting era for builders