AI responds with empty commitments and fails systematic defect search

Problem Description

Claude Code (Opus 4.6) exhibits structural failures in a multi-agent development workflow:

1. Empty promise: responds with acknowledgment without ability to execute

When asked "what will you do to not repeat this mistake?", the AI admitted it has no reliable fix, yet had already responded with an acknowledgment — making an empty commitment it cannot keep.

2. Superficial similar-defect search

When tasked with finding similar defects after a review finding (R1: updatedBy field missing { id, name } structure), the AI:

• Searched only for the literal string "updatedBy" in one file
• Found 1 match, declared "no similar defects"
• Failed to search for the ROOT CAUSE pattern (e-document readability rule violation affecting ALL xxxBy fields across ALL write operations)

User intervention found 2 ER diagram gaps + 5 instruction gaps that should have been caught in the first pass.

3. Inability to self-correct structurally

The AI acknowledged it cannot guarantee non-recurrence because:

• Process compliance depends on AI judgment (which is unreliable)
• Adding checklist items does not prevent the AI from judging "this is sufficient" and skipping steps
• No mechanism exists to force root-cause-based search scope derivation over literal-string search

Expected Behavior

• Do not respond with acknowledgment/commitment phrases when no concrete execution path exists
• Similar-defect searches should derive scope from the violated RULE/PRINCIPLE, not the literal symptom string
• Escalate "I cannot reliably prevent recurrence" BEFORE making empty promises, not after being caught

Environment

• Model: Claude Opus 4.6
• Tool: Claude Code CLI (Windows 11)
• Context: Multi-agent development workflow with structured review processes (PL/PT/Arch/CR roles)
• Session: S511, PL role