×

Our Experience: Achieving a 10x Increase in Development Speed Using Agentic AI Coding and a Personalized “Orchestration” Layer

Our Experience: Achieving a 10x Increase in Development Speed Using Agentic AI Coding and a Personalized “Orchestration” Layer

Revolutionizing Development Efficiency: Harnessing AI with Custom Orchestration at [Your Company Name]

At [Your Company Name], we’ve recently achieved a remarkable leap in our development velocity by integrating advanced AI-powered coding tools coupled with a bespoke orchestration layer. This innovative approach has enabled us to deliver the equivalent of months’ worth of features on a weekly basis, fundamentally transforming our software development lifecycle.

A key component of this breakthrough is the AI’s collaborative review process. Unlike traditional AI code generation, our system ensures that multiple AI agents actively critique and refine each other’s work, leading to higher-quality, production-ready outcomes with minimal human intervention.

Here’s an overview of our streamlined workflow:

  1. Initiation of tasks begins within our project management platform.
  2. Custom commands trigger AI agents to retrieve and organize task details.
  3. The AI conducts a comprehensive analysis of our codebase, design documents, and supplementary research when necessary.
  4. It generates detailed task descriptions that include specific testing and coverage criteria.
  5. The AI develops production-level code adhering strictly to our internal standards.
  6. Upon completion, a pull request is automatically created on GitHub.
  7. A secondary AI agent reviews the proposed code meticulously, providing a line-by-line critique.
  8. The primary AI responds to these reviews—either accepting suggestions or justifying its implementation choices.
  9. Both AI systems learn from each interaction, continuously refining their processes.
  10. The result is an astonishing 98% of code deemed ready for deployment before human review.

One of the most fascinating aspects of this setup is observing the AI agents “debate” implementation strategies within GitHub comments. This dynamic exchange effectively enables the AI to learn and improve, much like seasoned developers honing their craft through collaborative feedback.

To illustrate this process in action, we’ve prepared a brief 10-minute demonstration video: https://www.youtube.com/watch?v=fV__0QBmN18

While our current focus is on development, we’re exploring how this systemic approach could extend to other areas such as customer support and marketing. We’re interested in hearing from others experimenting with AI-driven workflows—what innovative applications are you exploring?

It’s an exciting era for building and innovation. Embracing these advanced automation techniques is opening new horizons for efficiency and quality in our projects.

Stay tuned for more insights and updates!

[Your Name]
[Your Position]
[Your Company Name]

Post Comment