How We Boosted Our Development Velocity Tenfold Using Agentic AI Coding and a Personalized “Orchestration” Framework

Revolutionizing Development Efficiency: Our Journey to 10x Speed with AI-Powered Coding and Custom Orchestration

In the rapidly evolving landscape of software development, staying ahead requires innovative approaches and cutting-edge tools. Here’s an inside look at how our team dramatically accelerated our development cycle, delivering months’ worth of features on a weekly basis through the strategic integration of AI code assistants and a bespoke orchestration framework.

The cornerstone of this transformation lies in leveraging AI agents that don’t merely generate code—they actively review each other’s contributions, fostering a collaborative and highly efficient workflow.

Our streamlined process includes the following stages:

• Initiation: Tasks originate from our project management system
• Task Acquisition: AI agents retrieve tasks through custom commands
• Preparation: Agents analyze our existing codebase, design documents, and relevant web resources when necessary
• Specification: Detailed task descriptions are crafted, including comprehensive testing and coverage criteria
• Implementation: AI produces production-ready code adhering to our development standards
• Deployment: Automated creation of pull requests on GitHub
• Quality Assurance: A secondary AI agent conducts a meticulous line-by-line code review
• Feedback Loop: The initial AI responds to review comments, either accepting suggestions or defending its original approach
• Learning & Improvement: Both AI agents adapt from each interaction, retaining insights for future tasks

Remarkably, this approach results in code that is approximately 98% ready for deployment before human review begins. An especially fascinating aspect is witnessing the AI agents engage in constructive ‘debates’ within GitHub comment threads—effectively teaching each other and refining their understanding of our codebase in real-time.

To illustrate this innovative process, we’ve prepared a concise 10-minute walkthrough available here: Watch the demo.

While we’re currently expanding this methodology to other domains such as customer support, we’re eager to hear from others exploring similar systems in marketing and beyond. The potential for AI-driven workflows to revolutionize different functions is truly exciting.

This is an exhilarating time for development and operational innovation. Stay tuned for more updates on how we’re pushing boundaries with AI-enhanced processes!