Guides to evaluate coding assistants, data handling terms and inference costs.
We explain what AEO (Answer Engine Optimization) is, why appearing in AI agent searches is critical given the projected shift of the web, and how to take the lead now.
We analyze how to measure the cost of coding assistants and use FinOps to identify optimization opportunities.
A comparison of extensions, editors and terminal agents: access governance, data handling and costs.
Differences between a terminal agent and an editor-integrated assistant, with enterprise governance criteria.
How to read the provider's no-training and retention clauses before sending code to inference.
Practical criteria for VPs of Engineering and CTOs: access, consumption visibility and team training.