The author warns against assuming LLMs will eliminate the need to read or debug code. Historically developers owned source code as the primary map of a system, and they remain accountable for any AI‑generated output. Yet many startups already accept short‑term productivity trades for speed, pushing organizations to treat generated code like assembly or bytecode and thereby increase technical debt risk significantly.

If leadership mandates LLM‑driven coding, the engineering model must shift. The post cites Thoughtworks’ retreat report, noting non‑deterministic outputs and generation rates that outpace human review. Relying solely on speed without reorganizing processes violates Amdahl’s law, so firms must cut coordination, reduce gate‑keeping, and let developers own end‑to‑end streams of work and requires new tooling pipelines to support.

The author proposes moving rigor from code to specifications. A standardized Markdown specification would become the unit of knowledge, co‑authored by product owners and engineers, with tests that enforce business rules. Automated pull‑request checks would verify both test success and spec compliance, making the spec the artifact teams review and are held accountable for through continuous integration checks and visibility.