#engineering

Джеффри Хантли — о том, почему руководителям нужно выделять время на освоение ИИ, как меняются требования к разработчикам и кого нанимать в 2026 году.

AI makes implementation cheap while understanding and review remain slow, increasing the value of engineers whose decisions and code can be trusted.

Ankur Sethi uses an LLM to propose code in chat, then types every edit himself—trading maximal speed for comprehension, taste, and a durable mental map of the codebase.

Notes from Kirill Mokevnin on the tools, workflows, metrics, and anti-patterns emerging as companies move from AI-assisted coding toward AI across the software-development lifecycle.

Notes from Thariq's X Article on Claude Fable, unknown unknowns, blind-spot passes, prototypes, interviews, references, implementation notes, and why agentic coding is increasingly about discovering what the human has not specified yet.

Notes from Gergely Orosz's talk on why AI makes code generation cheaper, but makes judgment, review, product thinking, and guardrails more valuable.