Developers Question Whether Current LLM Coding Tools Truly Enhance Productivity

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A Hacker News user has raised concerns about the limitations of current AI coding assistants like Claude Code and Codex. The poster argues that the stop-and-wait prompt-response loop disrupts the flow state that developers typically experience when writing code manually. Despite AI tools being touted as productivity multipliers, the user finds frequent interruptions make them feel counterproductive in practice. The post calls on the developer community to share alternative approaches or experiments that go beyond the conventional prompt-response model. The discussion has drawn early attention, with the poster suggesting that tab-based interaction models may offer a more seamless coding experience.

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