Our journey to a tenfold increase in development speed using Agentic AI coding and a tailored “Orchestration” layer

Transforming Software Development Efficiency with AI-Driven Automation: A Case Study

In today’s fast-paced tech landscape, accelerating development cycles while maintaining high-quality standards is a challenge many teams face. Recently, our organization embarked on an innovative journey to exponentially increase our development velocity, leveraging cutting-edge AI tools and a custom orchestration framework. The results have been remarkable—shipping months’ worth of features on a weekly basis.

Central to this transformation are AI agents that do more than just generate code; they actively review and critique each other’s work. This collaborative AI approach creates a powerful force multiplier, streamlining our entire development process.

Our Workflow Explained

1. Initiation: Tasks begin within our project management system.
2. AI Task Retrieval: An AI agent fetches tasks using tailored commands.
3. Contextual Analysis: The AI examines our codebase, design documents, and relevant research—web searches included—ensuring it understands the project’s context.
4. Detailed Planning: It drafts comprehensive task descriptions, incorporating specific test coverage and quality standards.
5. Code Implementation: The AI develops production-ready solutions aligned with our coding guidelines.
6. Automated Pull Requests: Upon completion, a pull request is automatically generated on GitHub.
7. Peer Review by AI: A second AI agent reviews the proposed code meticulously, line by line.
8. Back-and-Forth: The first AI responds to feedback, either accepting suggested changes or defending its original approach.
9. Continuous Learning: Both AIs learn from each interaction, refining their processes for future tasks.
10. Outcome: Our team typically reviews code that is approximately 98% ready for deployment.

What’s truly fascinating is observing the AI agents engaging in discussions within GitHub comments—debating implementation choices and essentially teaching each other to become more proficient developers. This emergent collaboration significantly accelerates our development cycle while maintaining high standards.

We recorded a concise 10-minute walkthrough demonstrating this entire process. If you’re interested in how AI-driven automation can revolutionize software development, check it out here: https://www.youtube.com/watch?v=fV__0QBmN18

Looking ahead, we’re exploring applying this orchestration approach to other areas such as customer support and marketing. We’re keen to hear from others experimenting with AI in different domains—what innovations are you exploring?

It’s an exhilarating time to be at the forefront of building smarter, faster workflows.