Scaling Our Development Velocity tenfold Using Agentic AI Coding and a Tailored “Orchestration” Framework

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

In today’s fast-paced tech landscape, speed and efficiency are paramount. At our company, we’ve pioneered a transformative approach that leverages advanced AI tools and a custom workflow layer to dramatically boost our development velocity. By integrating AI-driven code generation and review processes, we’re now delivering months’ worth of features on a weekly basis.

The core innovation lies in our AI agents not only generating code but also collaboratively evaluating each other’s contributions. This mutual review system ensures higher quality, reduced human oversight, and a more streamlined development cycle.

Here’s a glimpse into our innovative process:

1. Initiation: Tasks originate from our project management platform.
2. Task Retrieval: AI agents retrieve assigned tasks using bespoke commands.
3. Contextual Analysis: The AI analyzes our codebase, design documentation, and conducts web-based research when necessary.
4. Specification Creation: It drafts comprehensive task descriptions, including precise testing requirements.
5. Implementation: The AI develops production-ready code adhering strictly to our standards.
6. Automated Submission: A pull request is generated automatically on GitHub.
7. Code Review: A second AI agent examines the code meticulously, line by line.
8. Feedback Loop: The first AI responds—either accepting the review or justifying its approach.
9. Learning and Adaptation: Both AI agents learn from these interactions, refining their future performance.
10. Outcome: Our output reaches approximately 98% readiness for deployment even before human review.

What’s truly remarkable is witnessing these AI agents engage in constructive debates within GitHub comments, effectively coaching each other to refine their coding skills and deepen their understanding of our codebase.

To see this process in action, we recorded a concise 10-minute walkthrough: Watch the demonstration

While our current focus is on development, we’re exploring expanding this systematic AI approach to other domains like customer support and marketing. We’re eager to learn from others experimenting with similar systems—if you’re working on innovative AI integrations, let us know.

Indeed, it’s an exhilarating time to be building with AI. Stay tuned for more updates as we continue to push the boundaries of what’s possible.

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