# Worth Reading: On AI Coding and Its Discontents

DevFeed: [Worth Reading: On AI Coding and Its Discontents](<https://devfeed.tech/articles/worth-reading-on-ai-coding-and-its-discontents-11430.md>)

Original publisher: [Read original article](<https://blog.ipspace.net/2026/08/worth-reading-drawbacks-ai-coding/>)

Published: 2026-08-19T06:24:00Z

Content type: opinion

Language: en

Sources: [ipSpace.net blog](<https://devfeed.tech/sources/ipspace-net-blog.md>)

Topics: [ai-coding](<https://devfeed.tech/topics/ai-coding.md>), [coding](<https://devfeed.tech/topics/coding.md>), [Code](<https://devfeed.tech/topics/code.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-coding](<https://devfeed.tech/tags/ai-coding.md>), [blog-post](<https://devfeed.tech/tags/blog-post.md>), [coding](<https://devfeed.tech/tags/coding.md>), [development](<https://devfeed.tech/tags/development.md>), [worth-reading](<https://devfeed.tech/tags/worth-reading.md>)

## AI overview

The article argues that AI coding tools should not be treated like traditional compilers. Unlike deterministic, mature compilers, AI coding tools can produce bugs, and agentic loops do not eliminate that reliability gap. It points readers to Cal Newport's discussion of the drawbacks of AI-assisted coding.

## Source excerpt

A lot of AI-coding enthusiasts are making claims along the lines of "AI coding tools are like compilers; you supply intent, they translate it into code, and who ever looked at the machine-code output?" Unfortunately, there is a bit of a gap between hope and reality; traditional compilers were always deterministic, and are (after decades of development and bug-fixing) pretty much bug-free. AI coding tools are neither, and no amount of "agentic loops" will solve that. Read more ...