Why AI Code Review Tools Keep Commenting on Lines That Don’t Exist

📰 Dev.to · shy The

Learn why AI code review tools comment on non-existent lines and how to address this issue, improving code review accuracy

intermediate Published 1 Jun 2026
Action Steps
  1. Investigate AI code review tool configurations to identify potential issues
  2. Analyze the training data used by the AI model to detect biases or inaccuracies
  3. Test and fine-tune the AI model with diverse code samples to improve its accuracy
  4. Implement a feedback loop to correct and update the AI model's knowledge base
  5. Compare the performance of different AI code review tools to select the most effective one
Who Needs to Know This

Software engineers and DevOps teams can benefit from understanding the limitations of AI code review tools and how to fine-tune them for better performance

Key Insight

💡 AI code review tools can be inaccurate due to limitations in their training data or configurations, and fine-tuning them with diverse code samples can improve their performance

Share This
🤖 AI code review tools can comment on non-existent lines! 🚀 Learn why and how to fix it to improve code review accuracy #AI #CodeReview #SoftwareEngineering

Key Takeaways

Learn why AI code review tools comment on non-existent lines and how to address this issue, improving code review accuracy

Full Article

Title: Why AI Code Review Tools Keep Commenting on Lines That Don’t Exist

URL Source: https://dev.to/shy_the_a91bfb236d4eeb5bb/why-ai-code-review-tools-keep-commenting-on-lines-that-dont-exist-ald

Published Time: 2026-06-01T11:51:51Z

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Posted on Jun 1

# Why AI Code Review Tools Keep Commenting on Lines That Don’t Exist

[#ai](https://dev.to/t/ai)[#llm](https://dev.to/t/llm)[#softwareengineering](https://dev.to/t/softwareengineering)[#tooling](https://dev.to/t/tooling)

While experimenting with AI-powered code review systems, I kept running into a strange problem.

The model would generate a perfectly reasonable review comment.

The code issue was real.

The explanation made sense.

But the comment was attached to a line that didn’t exist in the pull request.

At first, I assumed this was just another example of LLM hallucination.

After digging deeper, I found something more
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