Our Journey to Decupling Developer Productivity by Tenfold Using Agentic AI Coding and a Personalized “Orchestration” Framework

Accelerating Development Efficiency by Tenfold with AI-Powered Coding Orchestration

In today’s fast-paced software landscape, speed and quality are paramount. Our recent journey has led us to dramatically boost our development throughput—achieving up to ten times faster feature delivery—by leveraging advanced AI tools combined with a bespoke “Orchestration” layer. Here’s an inside look at how this innovative approach is transforming our workflow.

The Power of AI-Driven Collaboration

At the heart of our process are intelligent agents not just generating code, but actively reviewing each other’s work. This peer review mechanism among AI agents ensures higher accuracy and code quality without manual oversight.

Our Streamlined Workflow

• Initiation: Tasks originate from our project management system.
• Task Acquisition: AI agents retrieve tasks using custom commands tailored for our environment.
• Contextual Analysis: They analyze our existing codebase, design documents, and relevant web research resources to inform development.
• Detailed Planning: A comprehensive task description is crafted, specifying test coverage and quality benchmarks.
• Implementation: Production-ready code is generated according to our internal standards and coding guidelines.
• Automated Pull Requests: The code is automatically submitted as a pull request on GitHub.
• Automated Code Review: A second AI agent conducts a thorough line-by-line review of the changes.
• Interactive Feedback Loop: The initial AI responds to review comments—either defending or adjusting its implementation.
• Learning and Adaptation: Both agents log insights to refine future performance, effectively learning from each iteration.

Remarkably, this process yields code that is approximately 98% ready for deployment before human developers even need to intervene.

Observing AI Collaboration in Action

A standout feature is witnessing how these AI agents effectively debate implementation strategies within GitHub comments—mutually teaching and refining their understanding of our codebase. This emergent “conversation” not only accelerates development but also enhances the AI’s mastery over our systems.

Experience the Future of Development

We’ve created a short, 10-minute walkthrough video that demonstrates this entire orchestration in action: Watch here.

Beyond Development: Exploring New Applications

While our current focus is on streamlining software production, our sights are set on extending this system to other domains—such as customer support and marketing—where automation and intelligent collaboration can deliver