Why AI-Assisted Bug Hunting Needs Guidance

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Summary

A speaker says AI-assisted bug finding works better with iterative steering: tailored agent files, harnesses, guardrails and prompts that specify what to find and what to avoid.

Key points

  • The speaker says using AI for bug finding effectively requires guidance rather than relying on out-of-the-box behavior.
  • They describe revising agent files and adjusting the harness and guardrails when the agent goes off track.
  • Prompts can specify what findings to report, what to look for and what to avoid.
  • The speaker suggests, as a hypothesis, that some users reporting worse results may give Claude only a broad request to find a bug on hackerone[.]com.

Article Details

Topics
  • [00:10] Why using AI for bug finding without training or guidance may be less useful
  • [00:21] Iteratively steering an agent with revised files, harnesses and guardrails
  • [00:45] The speaker's hypothesis about broad, unguided bug-finding requests

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