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

Transforming Software Development Efficiency with AI-Driven Orchestration

In today’s rapidly evolving tech landscape, optimizing development workflows is essential for staying ahead. At our organization, we’ve harnessed cutting-edge AI tools combined with a custom orchestration layer to dramatically accelerate our feature delivery—achieving what was once thought impossible.

Our Innovative Approach

By integrating advanced AI coding assistants—such as Claude Code, CodeRabbit, and others—we’ve created a system where AI agents not only generate code but also collaboratively review and improve each other’s work. This bidirectional peer review process has become a cornerstone of our development cycle, pushing the boundaries of automation and quality assurance.

How the Workflow Operates

1. Task Initialization: Projects commence with a task from our project management system.
2. AI Engagement: An AI agent retrieves the task through specialized commands.
3. Code Analysis & Research: It thoroughly examines our existing codebase, design documents, and resources online when needed.
4. Detailed Planning: The AI crafts a comprehensive task description, including specific test coverage requirements.
5. Code Development: It then produces production-ready code aligned with our coding standards.
6. Pull Request Generation: A GitHub pull request is automatically created.
7. Accountability Review: A secondary AI tool reviews the proposed code line-by-line, ensuring quality and consistency.
8. Feedback Loop: The original AI revises its implementation based on the review, either accepting feedback or providing rationale for its decisions.
9. Knowledge Sharing: Both AI systems learn from each interaction, continuously refining their capabilities.

Remarkably, this process yields nearly 98% code that’s ready for deployment before any human review—a testament to the system’s effectiveness.

The Power of AI Collaboration

What truly fascinates us is observing AI agents debating implementation strategies within GitHub comments. They’re essentially mentoring each other, deepening their understanding of our codebase and sharpening their development skills through continuous interaction.

See It in Action

To give you a clearer picture, we’ve prepared a concise 10-minute walkthrough demonstrating the entire process. You can watch it here: https://www.youtube.com/watch?v=fV__0QBmN18

Expanding the Application Horizon

While our current focus is on development automation, we’re exploring how this orchestration model can extend into areas like customer support and marketing automation. We