Our Experience: Boosting Developer Productivity by 10x Using Agentic AI Coding and a Custom “Orchestration” Framework

Maximizing Development Velocity with AI-Driven Automation and Custom Orchestration

In today’s fast-paced software landscape, accelerating development cycles while maintaining high quality is more critical than ever. Our team has embraced innovative AI technologies and tailored automation layers to revolutionize our coding process, allowing us to deliver features at an unprecedented pace—equivalent to months of work each week.

A Core Catalyst for Efficiency

The cornerstone of our approach is the deployment of AI agents that collaboratively review and improve code—not merely generating snippets but engaging in constructive peer review. This dynamic exchange greatly enhances accuracy and speeds up development.

Our Workflow in Detail

1. Initiation: Tasks originate from our project management system.
2. Assignment: AI agents retrieve tasks through custom command integrations.
3. Analysis: They study our existing codebase, documentation, design specifications, and perform web research as necessary.
4. Planning: The AI crafts a comprehensive task description, including testing and coverage criteria.
5. Implementation: Production-ready code is generated in strict adherence to our guidelines.
6. Automation: A pull request is automatically created on GitHub.
7. Peer Review: A second AI agent reviews the code line-by-line, providing feedback.
8. Dialogue & Improvement: The initial AI responds—either accepting the suggestions or providing justifications—setting the stage for iterative refinement.
9. Learning Loop: Both AI agents record insights from each interaction to inform future tasks.
10. Outcome: We achieve approximately 98% deployment-ready code prior to human review.

A fascinating aspect of this process is witnessing the AI agents debating implementation choices directly within GitHub comments. They continuously learn from each other, honing their skills and deepening their understanding of our codebase—effectively teaching themselves to become better developers.

For a closer look at this innovative workflow, check out our 10-minute walkthrough video: Watch here.

While our current focus is on transforming development, we’re exploring how this systemic AI approach can extend into other domains like customer support or marketing. If you’re experimenting with similar automation strategies or have insights to share, we’d love to hear from you.

Indeed, these are exciting times for builders and innovators alike.