Archive: 2025/08

Code Ownership Models for Vibe-Coded Repos: Avoiding Orphaned Modules in AI-Assisted Development

Code Ownership Models for Vibe-Coded Repos: Avoiding Orphaned Modules in AI-Assisted Development

AI-generated code is everywhere-but without clear ownership, it becomes a ticking time bomb. Learn the three models for claiming code in vibe-coded repos and how to stop orphaned modules before they break your system.
Optimizing Attention Patterns for Domain-Specific Large Language Models

Optimizing Attention Patterns for Domain-Specific Large Language Models

Optimizing attention patterns in domain-specific LLMs improves accuracy by focusing on key terms and relationships. LoRA fine-tuning cuts costs by 95% while boosting performance in healthcare, legal, and finance. But over-specialization can break general understanding.
Auditing and Traceability in Large Language Model Decisions: A Practical Guide for Compliance and Trust

Auditing and Traceability in Large Language Model Decisions: A Practical Guide for Compliance and Trust

Auditing and traceability in LLM decisions ensure ethical, legal, and transparent AI use. Learn how to implement governance frameworks, track model behavior, and comply with global regulations like the EU AI Act.
Cost per Action vs Cost per Token: Which LLM Pricing Model Saves You Money?

Cost per Action vs Cost per Token: Which LLM Pricing Model Saves You Money?

Cost per token dominates LLM pricing, but cost per action offers predictable, business-friendly billing. Learn how each model works, which fits your use case, and why per-action pricing is gaining ground in 2025.