tech
February 19, 2026
For open-source programs, AI coding tools are a mixed blessing
AI coding tools have enabled a flood of bad code that threatens to overwhelm many projects. Building new features is easier but maintaining them is just as hard.

TL;DR
- AI coding tools have led to a decline in the average quality of submissions to open-source projects.
- The ease of AI tools has resulted in a flood of bad code, overwhelming maintainers and bug bounty programs.
- While AI can assist experienced developers in creating new code, it complicates maintenance and can fragment software ecosystems.
- Open-source projects face challenges due to differing priorities compared to companies, with a focus on stability versus new product development.
- AI tools accelerate the exponential growth of codebases and interdependencies while the number of active maintainers struggles to keep up.
- AI coding tools may make producing working software easier but could make managing software complexity harder.
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