Our Journey to Decupling Development Time by 10x Using Agentic AI Coding and a Personalized “Orchestration” Framework
Accelerating Development Cycles with AI-Driven Coding and Custom Orchestration
In today’s rapidly evolving tech landscape, streamlining software development processes is more critical than ever. At our company, we’ve significantly boosted our development velocity—and we want to share how leveraging cutting-edge AI tools combined with a bespoke orchestration layer has transformed our workflow.
Our approach hinges on advanced AI agents that not only generate code but actively collaborate and review each other’s work. This peer review system among AI agents has proven to be a game-changer, dramatically increasing the quality and readiness of our code before human intervention.
Here’s a breakdown of our innovative workflow:
- Initiation: Tasks originate from our project management system.
- Automation: AI tools retrieve tasks using custom commands tailored to our pipeline.
- Exploration & Analysis: The AI examines our existing codebase, project documentation, design specifications, and performs web research if necessary.
- Planning: It formulates a detailed task description, including specific test coverage protocols.
- Implementation: The AI writes production-ready code in strict adherence to our internal standards.
- Integration: A GitHub pull request (PR) is automatically created.
- Review & Debates: A second AI agent diligently reviews the proposed changes line-by-line.
- Feedback Loop: The initial AI responds to the review—either accepting adjustments or defending its approach.
- Continuous Learning: Both AI agents learn from every interaction, enhancing future performance.
- Outcome: Our team receives code that is approximately 98% ready for deployment, significantly reducing review time.
One of the most fascinating aspects of this process is witnessing AI agents engage in detailed discussions within GitHub comments, effectively “teaching” each other to enhance their development skills while gaining a deeper understanding of our specific code environment.
For a closer look at this transformative workflow, we’ve prepared a brief 10-minute walkthrough video: Watch here.
While our current focus is on development, we’re exploring similar systems to improve other areas, such as customer support and marketing. We’re eager to hear from others who are experimenting with AI-driven processes—sharing insights that could benefit the wider community.
This is undoubtedly an exhilarating period for builders and innovators alike. Embracing these advanced automation techniques is reshaping how we create and deliver software solutions.
Stay tuned for more updates on our journey into AI-enhanced development!
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