Our Journey to Decuple Our Development Speed Using Agentic AI Coding and a Tailored “Orchestration” Layer

Transforming Development Efficiency: How AI-Driven Orchestration Accelerates Our Workflow

In the fast-paced world of software development, staying ahead means continually optimizing processes and leveraging innovative tools. Recently, we embarked on a transformative journey by integrating advanced AI agents into our development pipeline, coupled with a bespoke “Orchestration” layer. The result? We now deliver in weeks what once took months — fundamentally changing how we build software.

This approach hinges on AI agents not only generating code but actively engaging in peer review, ensuring higher quality and faster iteration cycles. Let’s walk through our streamlined workflow:

Our AI-Powered Development Workflow:

1. Initiation: Tasks are defined and managed within our project management system.
2. Task Retrieval: Customized AI commands fetch and prioritize tasks automatically.
3. Contextual Analysis: AI agents analyze our existing codebase, design documentation, and online research as needed.
4. Specification Drafting: They generate comprehensive task descriptions, including specific test coverage criteria.
5. Code Implementation: Producing production-grade code aligned with our standards and best practices.
6. Automated Pull Request Creation: Code is submitted via GitHub PRs effortlessly.
7. Peer Review Loop: A second AI agent performs a meticulous line-by-line review of the proposed code.
8. Feedback Cycle: The original AI agent responds to the review, either accepting the suggestions or defending its choices.
9. Learning and Improvement: Both AI partners learn from each interaction, refining their approaches for future tasks.
10. High-Quality Output: Our team receives up to 98% of the code in a ready-to-deploy state, reducing manual review — sometimes before a human even looks at it.

An especially fascinating aspect of this process is witnessing AI agents debate implementation tactics within GitHub comments. It’s like watching a pair of developers collaboratively teach each other, deepening their understanding of our code ecosystem.

For those interested in a more detailed look, we recorded a concise 10-minute walkthrough demonstrating this innovative workflow: Watch the Full Video.

While our current focus is on development automation, we’re exploring ways to extend this strategic AI orchestration to other areas — including customer support and marketing. We’re eager to hear from peers and industry leaders about how they’re employing similar systems to accelerate their operations.

In these exciting times, embracing AI-driven processes offers a competitive edge that few can ignore. Here’s to building smarter,