Boosting Our Development Speed Tenfold Using Agentic AI Coding and a Tailored “Orchestration” Framework

Transforming Software Development: Leveraging AI and Custom Orchestration to Accelerate Our Workflow

In today’s rapidly evolving tech landscape, efficiency and innovation are paramount. At our company, we’ve recently achieved a remarkable tenfold increase in our development speed by integrating advanced AI tools and developing a bespoke “Orchestration” layer. Here’s an inside look at how this revolutionary approach is reshaping our software delivery process.

How We Accelerated Our Development Pipeline

Our strategy centers on deploying AI agents that not only generate code but also collaboratively review and refine each other’s work—mimicking a peer review process among highly skilled developers. This synergy enables us to deliver features at a pace previously thought unattainable.

The Workflow Breakdown:

• Initiation begins with our project management system, where new tasks are logged.
• An AI agent retrieves tasks through custom commands tailored for our workflow.
• The AI analyzes our existing codebase, design documentation, and conducts web research if necessary.
• It then crafts a comprehensive task description, including specific test coverage criteria.
• The AI proceeds to develop production-ready code aligned with our coding standards.
• A GitHub pull request is generated automatically.
• A second AI agent performs a meticulous, line-by-line review of the proposed changes.
• The first AI responds to feedback—either accepting modifications or providing justifications for its initial approach.
• Both AI systems learn from each interaction, continuously improving their performance over time.

Remarkably, this process results in approximately 98% of the code being production-ready before any human intervention is needed.

The Power of AI Collaboration

One of the most fascinating aspects is witnessing the AI agents engage in discussions directly within GitHub comments, debating implementation choices. This self-scrutiny enables them to “teach” each other, leading to smarter, more efficient code generation as they develop a deeper understanding of our codebase.

We’ve documented this process in a concise 10-minute walkthrough video, showcasing the entire system in action: Watch here.

Beyond Development: Exploring Broader Applications

While our current focus is on optimizing software development, we’re already exploring how this AI and orchestration approach can enhance other areas like customer support and marketing. The potential for automation and smarter decision-making across functions is immense.

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It’s an exciting era for innovation, and we’re eager to see how others are leveraging AI to transform their