Automated linting and unit tests triggered upon code submission catch regressions before they reach production. Comparison: Bug vs. Feature Request
The user desires functionality that was never in the original documentation or design. That's Not a Bug, It's a Feature Request - Coding Horror
Services such as Claude Code offer multi-agent reviews where independent AI agents verify a fix before merging, providing high confidence for substantial changes.
Systems like GitHub Issues allow you to co-locate bug reports with your code, ensuring clear ownership and context visibility.
Forcing users to follow a standard template (Steps to Reproduce, Expected vs. Actual results) prevents the "vague report" bottleneck and speeds up developer resolution.
Instead of just suggesting a fix, tools like Cursor 2.2 use an agent to instrument your code, capture runtime logs while you reproduce the issue, and then hypothesize and apply fixes across all affected files.
Automated linting and unit tests triggered upon code submission catch regressions before they reach production. Comparison: Bug vs. Feature Request
The user desires functionality that was never in the original documentation or design. That's Not a Bug, It's a Feature Request - Coding Horror
Services such as Claude Code offer multi-agent reviews where independent AI agents verify a fix before merging, providing high confidence for substantial changes.
Systems like GitHub Issues allow you to co-locate bug reports with your code, ensuring clear ownership and context visibility.
Forcing users to follow a standard template (Steps to Reproduce, Expected vs. Actual results) prevents the "vague report" bottleneck and speeds up developer resolution.
Instead of just suggesting a fix, tools like Cursor 2.2 use an agent to instrument your code, capture runtime logs while you reproduce the issue, and then hypothesize and apply fixes across all affected files.
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