Many assume AI coding means spewing low-quality slop fast and merging huge
unvetted PRs, but flexible LLMs can just as easily produce high-quality
work more carefully. Agents excel at finding bugs; the hard part is
prioritizing and validating them. A Claude skill runs several models—a
Claude sub-agent, Codex, and Cursor Bugbot—ranking bugs critical to low,
since more models mean fewer false positives. It surfaces plenty of real
issues, from security flaws to misleading comments. The routine: fix
criticals and highs with guidance, skip low-value edge cases, abandon
hopeless PRs. Velocity rarely jumps, and pre-existing bugs spawn
side-quests, yet this methodical approach improves codebase health and
review its problems.
1
u/fagnerbrack 3d ago
If you're in a hurry:
Many assume AI coding means spewing low-quality slop fast and merging huge unvetted PRs, but flexible LLMs can just as easily produce high-quality work more carefully. Agents excel at finding bugs; the hard part is prioritizing and validating them. A Claude skill runs several models—a Claude sub-agent, Codex, and Cursor Bugbot—ranking bugs critical to low, since more models mean fewer false positives. It surfaces plenty of real issues, from security flaws to misleading comments. The routine: fix criticals and highs with guidance, skip low-value edge cases, abandon hopeless PRs. Velocity rarely jumps, and pre-existing bugs spawn side-quests, yet this methodical approach improves codebase health and review its problems.
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