How we 10x’d our dev speed with Agentic AI Coding and our custom “Orchestration” Layer

Boosting Development Efficiency with AI-Powered Automation and Custom Orchestration

In the rapidly evolving world of software development, adopting innovative tools can dramatically accelerate project timelines. Recently, our team embraced a cutting-edge approach leveraging advanced AI craftsmanship, custom automation layers, and collaborative AI interactions. This strategy has enabled us to deliver months’ worth of features on a weekly basis, transforming our development workflow.

The Core of Our Enhanced Workflow

At the heart of this transformation are sophisticated AI agents that do more than just automate code writing—they engage in peer reviews and collaborative problem-solving. Here’s a breakdown of our process:

1. Project initiation is managed through a centralized task system.
2. Our AI agents extract tasks using tailored commands.
3. They analyze our existing codebase, architectural designs, documentation, and even conduct web research when necessary.
4. Each task is then detailed comprehensively, including specific testing and coverage requirements.
5. The AI generates production-grade code that aligns with our coding standards.
6. Once a feature is implemented, an automatic pull request is created on GitHub.
7. A second AI agent immediately performs a meticulous line-by-line code review.
8. The initial AI responds to review feedback—either refining its implementation or defending its original approach.
9. Both AI models continuously learn from each interaction, storing insights for future tasks.
10. Remarkably, approximately 98% of the code is deemed production-ready prior to human review.

A particularly fascinating aspect of this system is observing how the AI agents communicate and debate implementation strategies within GitHub comments. They effectively teach and improve each other’s development skills by collaboratively understanding and optimizing the codebase.

We’ve prepared a concise 10-minute walkthrough demonstrating this entire process. You can explore it here: https://www.youtube.com/watch?v=fV__0QBmN18.

While our current focus is on enhancing development speed, we are also keen to explore applying this integrated, systems-oriented approach beyond coding—such as in customer support or marketing. If you’re experimenting with similar innovations, we’d love to hear your insights.

This is truly an exciting era for builders and innovators alike. Embracing AI-driven workflows holds the promise of redefining how products are developed and delivered.

Stay tuned for more updates and insights from our journey into automated, collaborative software development!