Mitchell Hashimoto: My AI Adoption Journey
A senior engineer’s reality check: AI adoption is not about 'productivity'. It is about using LLMs as a high-speed experiment engine for unfamiliar domains.
A chronological record of external shifts, research, and technical signals.
A senior engineer’s reality check: AI adoption is not about 'productivity'. It is about using LLMs as a high-speed experiment engine for unfamiliar domains.
AI extensions like MaliciousCorgi demonstrate the fragility of the developer supply chain. Cute tools mask aggressive code exfiltration, targeting the very source of a company's value.
US policy is driving allies towards local, sovereign AI. This unintentionally strengthens the global open-source ecosystem as American influence recedes.
The transition from autocomplete to the 'software factory' marks a structural shift in engineering. Responsibility moves from implementation to the definition of intent and rigorous verification.
Leadership that applies pressure without a plan is just creating friction. Management must provide the structure that allows execution to happen.
Japan joins the US and EU in setting 2035 as the hard deadline for PQC migration, solidifying the global consensus on the 'Quantum Winter' horizon.
Bruce Schneier argues that as AI moves from tool to agent, the engineering challenge shifts from technical precision to trust architecture and governance.
Brian Krebs delivers a reality check: while the industry obsesses over AI agents, the 'boring' infrastructure layer (routers, IoT) remains the primary attack surface.