AI-agent planning and coding practices may evolve as models improve

A proposed AI agent would break a large request into a hierarchy of tasks while accounting for the user’s intent and desired timeline. Rewriting Postgres in Rust was offered as an example: the agent would need to establish whether the request was serious, plan the work, and determine whether the result was needed immediately or in a couple of months. This was described as a design idea, not a released product.

The broader view is that AI-generated code is still “slop,” but will improve as models do. Trust in models has grown despite earlier mockery, and coding habits are shifting from inspecting every line to scrolling through code; related workflows may need rethinking.