AI-Augmented Development: From Job Killer Hype to Boilerplate Butler
AI was supposed to end coding careers. Instead, it's churning out middleware. Smart augmentation or just lazy shortcuts?
AI was supposed to end coding careers. Instead, it's churning out middleware. Smart augmentation or just lazy shortcuts?
Everyone figured AI coding tools would keep inching forward after Claude's holiday surge. Then Opus 4.5 hit, and Burke Holland built a full SaaS killer in hours. This isn't evolution; it's eruption.
Forget one-agent-at-a-time drudgery. /fleet in Copilot CLI turns your terminal into a command center for parallel AI agents, hitting multiple files simultaneously.
Forget the hype about AI rewriting novels or diagnosing diseases overnight. Programming became AI's proving ground because code doesn't lie: it compiles or crashes. This changes everything for devs—and the tools cashing in.
Picture your daily code scribbles suddenly supercharging the AI at your side. GitHub's dropping a policy bomb on Copilot users: interaction data now trains models, opt-out easy.
In under three days, five engineers unleashed 11 new agents and 28,858 lines of code using GitHub Copilot. This isn't hype—it's agent-driven development in action, automating the un-automatable.