The AI Coding Business Ate Itself
Five years, GitHub Copilot to Claude Code: coding proved right; foundation models swallowed small models, workflow tools, IDEs. What remains isn't software.
7 posts
Five years, GitHub Copilot to Claude Code: coding proved right; foundation models swallowed small models, workflow tools, IDEs. What remains isn't software.
I wasted four hours on Claude Code's Chrome extension; Xiaohongshu posts got soft-throttled. AI didn't turn failure into success—it made failure faster.
AI coding doesn't cut failures; it speeds them up. Chrome plugin took four hours, a search; my Xiaohongshu test flopped. 3 rounds in 3 months clear blockers.
GitHub is becoming Xiaohongshu and official accounts, GitHub. A dumpling-shop owner vibe-codes a skill; agent interoperability, not skills, is the shift.
Jensen Huang: coding agents change the world, but only millions use them. Three mental gaps—not skills—block adoption; 95% of PC work can be delegated.
I used Claude Code to write 300,000 lines in 10 days, hit a dead end, scrapped it, rebuilt in 48 hours with under 10,000 lines. Code: liability, not asset.
AI coding evolved from autocomplete to vibe coding in three leaps. Once AI can reliably write code, it gains the interface to automate every digital task.