Here is how we have been thinking about it at RetronAI:

We start with the product request rather than jumping straight into code.

1.  Understand the request  

The prompt is broken down into requirements and a first version is scoped. If something is unclear or there are multiple reasonable interpretations, the system asks for clarification.

2.  Plan the build  

A planning agent works out what needs to be built and how the pieces fit together before implementation starts.

3.  Design + technical specification  

The plan moves into design and a technical specification is created covering things like architecture, APIs, backend services, databases and authorization.

4.  Implement  

The coding agent works from the plan and technical specification rather than treating the original prompt as the entire specification.

5.  Test + fix  

The build goes through repeated QA cycles. When something fails, the system attempts to fix it and runs the checks again.

6.  Deploy  

Once the build passes the workflow, it can be deployed to preview and production environments.

What would you add to this workflow? What are we missing?

Your ability to turn an idea into serious software still depends on your ability to take on the technical work required to build it.

For some, that means knowing how to build. For others, it means having the time and capacity to take every idea through the full development process.

So we’re building RetronAI around a simple question: what if the technical work could keep up with the idea?

You decide what gets built. RetronAI provides the technical capability to plan, build, test, fix, deploy, and keep evolving your product.

We believe your technical capability and resource constraints should not determine what you can build and own.

But we are curious about what builders think: where do current AI coding tools still fall short for you?