#aiprinciples

Title: P6: Main principles of programming and AI Engineering. http s:/ /w ww.sei.cmu. edu/documents/582/2019_019_001_634648.pdf http s:/ /www.turingcollege .com/playbooks/ai-engineering-guidebook ⚰ #dailyreport #aiengineering #principles #aiprinciples #programming

Title: P3: Main principles of programming and AI Engineering.

SOLID "Interface Segregation Principle": (relevant now with AI) Such shrunken interfaces are also called role interfaces. ISP is intended to keep a system decoupled and thus easier to refactor.

Carnegie Mellon Institute:

1. Problem Suitability – Use AI only when needed, keep solutions simple. #dailyreport #aiengineering #principles #aiprinciples #programming

Title: P1: Main principles of programming and AI Engineering.

• Outcome-Oriented Principle - not model benchmarks, real impact.
• Clarity & Structure Principle - reliability
• Iterative Decomposition Principle - step-by-step for error reduction and modularity.
• Grounding-First Principle - Base answers on trusted external or retrieved sources
• Data Hygiene & Provenance - one bad source poisons results long-term #dailyreport #aiengineering #principles #aiprinciples #programming

Title: P2: Main principles of programming and AI Engineering.

• Red-Team & Adversarial Checks – Systematically
• Modular Composability - for upgrading independently
• Cost-Latency-Quality Trade-offs - route, cache, compress, and batch to control costs and meet SLAs.
• Observability & Traceability
• Human-in-the-Loop Feedback
• Ethical-by-Design - Guardrails from Day 0 #dailyreport #aiengineering #principles #aiprinciples #programming