Our Approach to Boosting Developer Productivity Tenfold Using Agentic AI Coding and a Tailored “Orchestration” Framework

Transforming Development Efficiency: How AI-Powered Orchestration Accelerates Our Workflow by Tenfold

In today’s rapidly evolving tech landscape, staying ahead requires innovation not just in product features but also in development processes. Recently, we embarked on a transformative journey to exponentially boost our development speed, leveraging cutting-edge AI tools and a custom-built “Orchestration” layer. The outcome? We’re now delivering months’ worth of features on a weekly basis with remarkable precision and efficiency.

A New Paradigm in Coding Workflow

Central to this revolution are AI agents that do more than just generate code—they collaborate, critique, and learn from each other. This dynamic interaction has significantly enhanced the quality and speed of our deployments.

Here’s an overview of our streamlined process:

1. Initiation: Tasks originate from our project management platform.
2. Assignment: An AI agent retrieves the task through tailor-made commands.
3. Analysis: The AI reviews our existing codebase, design documents, and relevant web resources to gather context.
4. Planning: It crafts a comprehensive task description, including specific test coverage and success criteria.
5. Implementation: The AI develops production-ready code aligned with our standards.
6. Integration: Automatically, a pull request is created on GitHub.
7. Peer Review: A second AI agent performs an immediate, detailed line-by-line code review.
8. Dialogue & Refinement: The first AI responds to the feedback—either defending its approach or making adjustments.
9. Learning & Improvement: Both AI agents log insights from these interactions, continually refining their capabilities for future tasks.

Remarkably, this process yields code that is approximately 98% ready for deployment before any human review—a testament to the efficiency of our AI orchestration.

AI Agents: The Developer Debate Team

One of the most fascinating aspects is witnessing these AI agents engage in constructive debates within GitHub comments over implementation details. It’s like watching a team of junior developers learning from each other, gradually honing their skills and understanding of the project.

See It in Action

We captured a 10-minute walkthrough showcasing this entire system in operation. If you’re curious about how AI-driven automation can revolutionize development workflows, check it out here: https://www.youtube.com/watch?v=fV__0QBmN18

Expanding Horizons

While our primary focus has been on development, we’re