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Our Journey to Decuple Our Development Speed Using Agentic AI Coding and a Tailored “Orchestration” Layer

Our Journey to Decuple Our Development Speed Using Agentic AI Coding and a Tailored “Orchestration” Layer

Transforming Development Efficiency: How AI and Custom Orchestration Accelerate Our Workflow

Innovation in software development is accelerating at an unprecedented pace, and leveraging cutting-edge AI tools has become a game-changer for our team. By integrating advanced AI agents with a bespoke “Orchestration” layer, we’ve amplified our development velocity tenfold—delivering months’ worth of features in just a week.

The Power of Collaborative AI in Code Production

Our approach hinges on AI agents not merely generating code but engaging in a dynamic review process. These agents work together, scrutinizing each other’s contributions to ensure quality and accuracy—creating a robust, self-improving cycle.

Our Workflow in Action

Here’s a step-by-step overview of how this system operates:

  • Task Initiation: Our project management platform assigns new features or bug fixes.
  • AI Task Retrieval: Specialized AI agents extract tasks through custom commands tailored to our needs.
  • Codebase Analysis: The agents study our existing code, design documents, documentation, and conduct web research if necessary.
  • Task Specification: They craft comprehensive descriptions, including testing strategies and coverage expectations.
  • Code Implementation: The AI develops production-ready code adhering to company standards and best practices.
  • Pull Request Creation: The system automatically generates a GitHub pull request for review.
  • Automated Peer Review: A second AI agent conducts a meticulous line-by-line review of the proposed changes.
  • Iterative Feedback: The first AI responds—either accepting the suggestions or providing defenses, leading to an internal debate.
  • Learning and Improvement: Both agents document their interactions, refining future performance.

Remarkably, this process results in code that is approximately 98% ready for deployment before human involvement—a testament to the effectiveness of AI collaboration.

Observing AI in Action: A Visual Walkthrough

We’ve captured a brief 10-minute demonstration showcasing this innovative workflow. It provides a closer look at how our AI agents coordinate and improve code in real time. Check it out here: Watch the walkthrough

Looking Ahead: Expanding AI Beyond Development

While our current focus is on streamlining software delivery, the potential applications extend far beyond. We’re exploring how this orchestration model can revolutionize areas such as customer support and marketing. We’d love to hear about other innovative uses from our community—share your ideas!

Final Thoughts

This revolutionary approach to

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