Embrace Research-Driven Development (RDD)

Use when: Initiating a new software project

How it works:

1. Prioritize deep research before starting code development to ensure valuable direction.

2. Use architectural forensic analysis to align business logic and technical feasibility, treating code as a liability needing justification.

Tip: Avoid blind adoption of new frameworks; focus on context preservation and long-term asset value.

Preserve Context and Integrity in AI Systems

Use when: Developing AI-augmented solutions

How it works:

1. Prioritize preserving the intent behind system designs, ensuring each decision log is documented.

2. Build audit-ready systems with transparent logic for stakeholders to understand.

Tip: Prevent "Architectural Amnesia" by maintaining human understanding of system functions.

Simulate Before Deployment

Use when: Planning new feature implementation

How it works:

1. Simulate the feature's lifecycle to preemptively identify potential technical debts.

2. Analyze AI-generated modules to catch issues that might arise at scale.