Tech With Tim: AI Made Coding Worse...

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Relying on AI for coding projects can worsen the coding process due to issues like confidently wrong suggestions, lack of learning, and AI tech debt

intermediate Published 23 Mar 2026
Action Steps
  1. Recognize the potential pitfalls of AI-assisted coding, such as confidently wrong suggestions and lack of learning
  2. Assess the scalability of AI tools for larger projects to avoid tech debt
  3. Implement a balanced approach to coding, combining AI tools with manual coding and learning
  4. Regularly review and refactor code to avoid getting stuck in an endless fix-it loop
Who Needs to Know This

Developers and coding teams can benefit from understanding the limitations of AI in coding to avoid over-reliance and ensure they are using AI tools effectively and efficiently

Key Insight

💡 AI should be used as a tool to augment coding skills, not replace them, to avoid over-reliance and ensure effective and efficient coding practices

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💡 Relying on AI for coding can be a bust! Confidently wrong suggestions, lack of learning, and AI tech debt can worsen the coding process

Key Takeaways

Relying on AI for coding projects can worsen the coding process due to issues like confidently wrong suggestions, lack of learning, and AI tech debt

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Published Time: 2026-03-23T16:06:44Z

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Posted on Mar 23

# Tech With Tim: AI Made Coding Worse...

[#ai](https://dev.to/t/ai)[#discuss](https://dev.to/t/discuss)[#career](https://dev.to/t/career)

Turns out, relying on AI for your coding projects might be a total bust! One coder, after much AI-assisted work, confidently declared that AI actually _worsens_ the coding process.

Their gripes include AI being "confidently wrong," making you ditch actually learning the codebase, not scaling up for bigger projects, and piling on dreaded "AI tech debt." Plus, you'll get stuck in an endless "fix it" loop. Yikes!

_Watch on [YouTube](https://www.youtube.com/watch?v=91utXFqgSok)_

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