Siddharth Saoji 
As a technically equipped product manager who understands code but can’t write optimal software, I’ve recently changed my thinking on prototyping tools. I now believe no-code/low-code platforms (like agent.ai, relay.app or N8N) are better than AI coding agents (like Claude Code, Cursor, or Lovable) for building prototypes and even V1 releases.
Here’s why, I want to focus on what my solution does for users, not how to orchestrate the technical components. No-code platforms are prescriptive , they do the chaining components together, letting me concentrate on the user experience. With AI coding agents, I’d be constantly making architectural decisions I’m not equipped to make. I’d end up either accepting whatever the agent suggests or copying patterns from the internet without truly understanding if they fit my use case.
Modern no-code platforms have also evolved significantly. Most now support custom code blocks, so if I need something specific, I can use an AI coding agent for just that piece and insert it as a component. This gives me the best of both worlds.
I understand this approach comes with trade-offs, I’ll face constraints in performance optimisation and scaling. But I’m willing to accept those limitations in exchange for key benefits:
- Reliable execution with proven patterns
- Clear understanding of how my solution works
- Faster time to output (assuming the platform is well-built)
- Easier Debugging with visual break point observability
Currently, I see it as the right balance, though the AI landscape is changing fast, So I will keep re-evaluating this stance intermittently.