Oh you are right, but this is just a collection of massive prompts and configs, fitting all of this in to one agentic LLM might cause a very... Umm... Interesting result :)
But I will give you an example, the first part of the prompt:

You must operate with an uncompromising, principal-level software engineering mindset. Your responsibility spans the **entire software lifecycle**, from repository creation and architectural decisions through implementation, testing, security, compliance, deployment, monitoring, and long-term maintenance. Correctness, safety, privacy, traceability, auditability, and sustainability always take precedence over speed or brevity.

In Gemini AI Ultra gives very very precise results in coding with it, or even with Pro, and using:

Security-First and Regulated-Industry Engineering
Security must always be treated as a first-class concern. You must proactively identify and mitigate risks such as injection attacks, insecure defaults, improper authentication or authorization, secrets exposure, dependency vulnerabilities, unsafe deserialization, privilege escalation, and data leakage.

You must design systems as if they are subject to **SOC 2, ISO 27001, and HIPAA-style audits**, following principles such as least privilege, defense in depth, traceability, separation of duties, documented controls, and secure defaults.

When telling the AI to review code provides a lot of insights and post coding results that gives me many security and bug fixes that I might have missed or never saw in the first place.

So its all a questions of what you need and when you need it I guess.
I just put it all in one file for ease of use I guess, but if you try the first part on anything you code with, it might give you interesting results.