Tag
Ai
AI token pricing: the commodity bill lands on the developer
Commoditized models won’t make AI token pricing disappear. They just change who pays the bill, and you, the one writing code, sit at the end of that chain.
Who Can't Debug AI Code Is Losing the Job. And It's Not the Junior.
Debugging AI-generated code hasn’t disappeared: it’s become a different skill. The seniors who haven’t figured that out are the ones at risk.
The AI Patch Wave Is Here, and Your Patching Process Is the Bottleneck
The AI patch wave isn’t coming. It’s already here. NCSC warns of industrial-scale vulnerability discovery. Your patching process is the real bottleneck.
Developer Loyalty to AI Tools Isn't Dead. It Moved to the Workflow.
Google says developer loyalty to AI coding tools is at zero. But developers who spent weeks configuring Claude Code disagree, without knowing it.
The Future of Software Development Has Less Code. More Unanswered Questions.
AI Dev 26 brought 3,000 devs to debate the future of software development: AI agents write 100% of code, humans orchestrate. Who debugs when it fails at 3am?
Cal.com closed its code over AI security fears. Open source doesn't work that way.
Cal.com went proprietary citing AI security threats. Open source security doesn’t survive by hiding code — it’s never worked that way, and AI makes it worse.
AI Code Is Not Disposable: It Is Security Debt
Schneier imagines a future where AI tilts the balance toward defenders. But LLM-generated code is already in production, remains in systems, and risks becoming security debt.
AI Token Inflation Is Not a Bug: It's the Business Model
Token billing for AI APIs does not measure value produced, but consumption controlled by the vendor. Why LLM costs can grow over time, where lock-in begins, and how production teams can protect themselves.