Story
Writing Lisp is AI resistant and I'm sad
1 report
1 website
1 discussion
Latest report
Overview
AI systems show a preference for programming languages other than Lisp, making it challenging to use Lisp for certain tasks. A developer is creating a tool to convert between different RSS reader formats, initially using Lisp, but faces difficulties in training the AI to understand the language.
Summary from blog.djhaskin.com.
Reports
One report so far. Additional coverage will appear here when it is linked to this story.
blog.djhaskin.com
Writing Lisp is AI resistant and I'm sad
Read report →
Community reactions
Each reaction summarizes sampled comments from the linked discussion.
Hacker News · blog.djhaskin.com
Hacker News discussion ↗
Historical count: 5 · 5 saved in sample · Historical sample
Analysis ready
Read this discussion’s reaction
Based on 5 sampled comments from this thread. Analyzed 2026-04-05.
- Praise: AI models like Codex and Claude Code excel at writing idiomatic Clojure code, demonstrating that Lisp-like languages can be effectively supported by AI.
- Praise: LLMs can handle simpler programming languages well, suggesting that their performance is heavily influenced by the complexity of the language and its training data.
- Praise: Users report success in using AI for Common Lisp projects, indicating that with the right prompts, AI can assist effectively in more complex coding environments.
- Concern: The article's claim that writing Lisp is AI resistant overlooks the capabilities of AI in handling languages like Clojure and Scheme.
- Concern: Complexity in languages like GCL poses challenges for AI, suggesting that not all programming languages are equally accessible to AI models.