Twenty-four Hours of AI Coding (ksqsf.moe)

In a recent exploration of AI coding tools, a developer embarked on a project named Cosmobot to integrate multiple messaging platforms using Haskell. Initially skeptical about the capabilities of AI in serious coding endeavors, the developer was astounded by the efficiency of Codex, an AI coding assistant, during the project. Within a short span, Codex seamlessly implemented features such as Telegram and QQ integration, streamlined message processing, and various tool calls with minimal human intervention. This experience highlighted the potential of AI to accelerate software development, allowing the developer to focus more on high-level design rather than mundane coding. However, as the project progressed, the developer encountered significant issues with code quality, often resulting in "shit-mountain-ification," where duplicated and coupled code hindered maintainability. Despite Codex's proficiency in generating code quickly, it failed to provide sufficient modularity and abstraction, requiring extensive refactoring to improve system architecture. This experience serves as a reminder of both the strengths and limitations of AI-powered coding tools: while they can boost productivity, the quality of the output may necessitate careful oversight and manual refinement to ensure long-term code integrity.