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

Revolutionizing Development Speed: How Agentic AI and Custom Orchestration Propel Our Workflow

In today’s fast-paced tech landscape, efficiency and innovation are vital. Our team has recently experienced a transformative leap in our development process by leveraging cutting-edge AI tools combined with a bespoke “Orchestration” layer. This approach enables us to delivery features at an unprecedented pace—achieving the equivalent of months’ worth of work each week.

At the heart of this advancement are powerful AI agents, not just writing code but actively collaborating and critiquing each other’s contributions. This peer review mechanism dramatically enhances code quality and reduces deployment times.

Here’s a glimpse into our streamlined workflow:

1. Initiation: Tasks are entered into our project management system.
2. Assignment: AI agents retrieve tasks through custom commands tailored to our processes.
3. Preparation: The bots analyze our existing codebase, design documents, and relevant web research to understand the context.
4. Definition: They generate comprehensive task descriptions, including specific test coverage criteria.
5. Implementation: The AI develops production-ready code adhering to our standards and best practices.
6. Pull Request Creation: An automatic GitHub pull request is generated.
7. Review Loop: A second AI agent reviews the proposed code meticulously, examining each line.
8. Feedback & Debate: The original AI responds to feedback—either defending its approach or making necessary adjustments.
9. Learning: Both AI agents continuously learn from these interactions, refining their future performance.
10. Outcome: We commonly see about 98% of code qualifying as ready for production before any human review.

One of the most captivating aspects is witnessing the AI agents engage in real-time debates within GitHub comments—almost like developers teaching and challenging each other, which results in a deeper understanding of our code structure and improved code quality over time.

For those interested in the intricacies of this process, we’ve prepared a concise 10-minute walkthrough explaining each step in detail: Watch the video here.

While we’ve seen incredible benefits in development speed, we’re also exploring how this AI-powered orchestration can enhance other areas, such as customer support and marketing. If you’re experimenting with similar systems, especially in marketing automation or client engagement, we’d love to hear your insights.

This is undoubtedly an exciting era of building and innovation—where AI not only accelerates our work but elevates its quality. Stay