MBAs need AI strategy skills, not coding. While 74% of employers demand AI fluency, business schools are teaching decision frameworks and prompt engineering - leaving the Python to the engineers.
Your Mac and Linux machines come with grep, find, and cat - tools from the 1970s. Modern alternatives run 10-100x faster, output structured JSON for AI workflows, and take 30 minutes to install. Most developers have no idea they exist.
One-time fees, unclear percentages, high minimum deals - here is what nobody tells you about AI vendor partner programs and why building a business on referrals alone requires massive volume.
Moving your team from GitHub Copilot to Claude Code requires planning to handle the productivity dip. This roadmap minimizes disruption while capturing the benefits of 200K context windows and superior reasoning.
Building an MCP server for Claude varies dramatically in cost depending on complexity. Simple database connectors take 2-3 weeks while enterprise integrations require 8-12 weeks. The real cost is finding developers who understand this brand-new protocol.
Most companies optimize prompts to save pennies while ignoring architectural changes that could cut AI costs by 60-90%. Here is the big lever that matters for real savings.