Achieving a Tenfold Increase in Development Speed Using Agentic AI Coding and Our Custom “Orchestration” Layer

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

In today’s fast-paced tech landscape, accelerating development timelines without compromising quality is a challenge many teams face. Recently, we implemented an innovative approach that has revolutionized our software delivery process, enabling us to deploy months of features every week. This breakthrough was made possible through the integration of advanced AI coding agents, a customized orchestration layer, and strategic workflow automation.

At the core of this transformation are AI agents that not only generate code but also collaboratively review each other’s work — a true force multiplier for productivity. This synergy results in significantly higher-quality code, often reaching up to 98% readiness for deployment before human intervention is required.

Here’s a closer look at our streamlined workflow:

1. Task Initialization: Our project manager assigns tasks within a dedicated platform.
2. AI Engagement: AI agents pull tasks through custom commands, studying existing codebases, design documents, and online resources as needed.
3. Detailed Planning: They generate comprehensive task descriptions, including specific test coverage requirements.
4. Code Implementation: AI agents craft production-ready code following our established coding standards and guidelines.
5. Pull Request Creation: An automatic GitHub pull request is generated for visibility.
6. Automated Code Review: A second AI agent evaluates the code line-by-line, providing immediate feedback.
7. Iterative Refinement: The first AI agent responds to this feedback, either accepting or justifying its approach, creating a dynamic review process.
8. Learning and Improvement: Both AI agents log insights from each interaction to enhance future performance.

What’s truly astonishing is witnessing these AI agents debate implementation nuances directly within GitHub comments. They iteratively educate each other, deepening their understanding of our codebase and refining their development skills collectively.

To illustrate this process, we recorded a concise 10-minute walkthrough showcasing exactly how this system operates. You can watch it here: https://www.youtube.com/watch?v=fV__0QBmN18

While our current focus is on scaling development speed, we’re exploring applying this orchestration methodology to other areas such as customer support and marketing. We’re eager to hear from the community: What innovative systems or AI integrations are you experimenting with?

This is undoubtedly an exciting time for modern software development, and embracing AI-driven workflows is opening up new horizons for efficiency and innovation