Cursor, Claude Code and Codex all have a BIG problem

The video begins with the host expressing frustration over various development tools such as Cursor, Claude Code, and Codex, highlighting their inconsistencies and failures. The speaker identifies a core issue: these tools were built using AI models which often result in unreliable and suboptimal performance. The speaker shares personal experiences and critiques, especially questioning the idea of using AI for code development prematurely. They further elaborate on the concept of 'codebase inertia' where a six-month window significantly affects the future quality of a codebase. The video also discusses the challenges developers face with maintaining older codebases and the temptation to continue building on unstable frameworks. The speaker suggests possible solutions such as focusing on ease, clarity, and speed in coding patterns, being strict about not allowing poor coding practices, and the concept of maintaining multiple codebase versions for prototyping versus production. The video ends with the host reflecting on the future of these tools and the industry, speculating on how better engineering practices can address current issues.