Overview

Zenflow is an AI software engineering system that coordinates multiple AI agents to build production-ready applications autonomously. Unlike simple prompt-based tools that break down with iteration, Zenflow uses spec-driven orchestration to maintain code quality and prevent drift. The system executes tasks in parallel with built-in verification to deliver reliable, shippable software.

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Key Takeaways

  • Orchestrated AI agents outperform single prompts - coordinating multiple specialized agents with defined workflows produces more reliable code than relying on individual AI responses
  • Spec-driven development prevents drift - following structured specifications and documentation ensures AI-generated code stays aligned with requirements as projects evolve
  • Parallel execution with verification catches issues early - running multiple agents simultaneously while automatically testing code prevents broken implementations from reaching production
  • Iteration breaks simple prompting approaches - assumptions pile up and quality degrades when repeatedly prompting basic AI tools without structured workflows
  • Production-ready AI coding requires systematic orchestration - moving beyond prototypes demands frameworks that enforce standards, verify outputs, and manage complexity at scale

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