B\u00c1O C\u00c1O REVIEW H\u1ed8I \u0110\u1ed2NG AI \u2014 \u0110I\u1ec0U 26 v3.4 (ROUND 2)\n\n> Reviewer: Gemini 2.5 Pro\n> Ng\u00e0y: 2026-03-27 | L\u1ea7n: 2\n> Tr\u1ea1ng th\u00e1i: \u2705 TH\u00d4NG QUA (APPROVE)\n\n---\n\n## I. TR\u1ea2 L\u1edcI 7 C\u00c2U H\u1eceI VERIFY\n\n### Q1: Filter JSON spec \u0111\u00e3 \u0111\u1ee7 an to\u00e0n ch\u01b0a?\n- \u0110\u1ed2NG \u00dd. Whitelist operators hi\u1ec7n t\u1ea1i tri\u1ec7t ti\u00eau SQL Injection. \n- G\u00f3p \u00fd: C\u1ea7n h\u1ed7 tr\u1ee3 th\u00eam logic AND/OR l\u1ed3ng nhau trong t\u01b0\u01a1ng lai. Hi\u1ec7n t\u1ea1i m\u1eb7c \u0111\u1ecbnh l\u00e0 AND cho m\u1ea3ng ph\u1eb3ng l\u00e0 ch\u1ea5p nh\u1eadn \u0111\u01b0\u1ee3c.\n\n### Q2: Edge model 8 fields c\u00f3 qu\u00e1 n\u1eb7ng cho junction table tri\u1ec7u rows?\n- \u0110\u1ed2NG \u00dd. PostgreSQL x\u1eed l\u00fd NULL r\u1ea5t t\u1ed1t. \n- L\u01b0u \u00fd: B\u1ebft bu\u1ed9c ph\u1ea3i c\u00f3 Index tr\u00ean (source_type, source_code) v\u00e0 (target_type, target_code) \u0111\u1ec2 query Pivot kh\u00f4ng b\u1ecb ngh\u1ebdn.\n\n### Q3: AI guardrails B1.5 + confidence + cost guard \u2014 kh\u1ea3 thi v\u1edbi Agent Data hi\u1ec7n t\u1ea1i?\n- \u0110\u1ed2NG \u00dd. Kh\u1ea3 n\u0103ng Vector Search c\u1ee7a Agent Data (Qdrant) ho\u00e0n to\u00e0n \u0111\u00e1p \u1ee9ng \u0111\u01b0\u1ee3c semantic dedupe.\n- Confidence 80%: Con s\u1ed1 an to\u00e0n.\n\n### Q4: Performance 3 t\u1ea7ng (cold/warm/hot) \u2014 tri\u1ec3n khai th\u1ebf n\u00e0o c\u1ee5 th\u1ec3?\n- \u0110\u1ed2NG \u00dd. Cold (Direct), Warm (View), Hot (MatView) l\u00e0 chi\u1ebfn l\u01b0\u1ee3c chu\u1ea9n.\n- \u0110\u1ec1 xu\u1ea5t: C\u1ea7n th\u00eam 1 DOT tool qu\u1ea3n l\u00fd vi\u1ec7c t\u1ef1 \u0111\u1ed9ng n\u00e2ng tier (Promotion) d\u1ef1a tr\u00ean t\u1ea7n su\u1ea5t truy v\u1ea5n.\n\n### Q5: C\u00f3 t\u00ednh n\u0103ng n\u00e0o HI\u1ec6N T\u1ea0I \u0111ang d\u00f9ng code c\u0169 m\u00e0 b\u1ecb break khi #DISABLE?\n- C\u1ea6N S\u1eecA. Nhi\u1ec1u script v\u00e0 UI Layer 1 \u0111ang \u0111\u1ecdc tr\u1ef1c ti\u1ebfp t\u1eeb v_registry_counts.\n- Gi\u1ea3i ph\u00e1p: Mission 1 ph\u1ea3i t\u1ea1o m\u1ed9t ALIAS VIEW v_registry_counts tr\u1ecf v\u00e0o logic m\u1edbi c\u1ee7a pivot_count() \u0111\u1ec3 duy tr\u00ec backward compatibility.\n\n### Q6: 3 \u0111i\u1ec1u s\u1eeda nh\u1eb9 (19, 21, 28) \u2014 wording c\u1ee5 th\u1ec3 th\u1ebf n\u00e0o?\n- \u0110i\u1ec1u 19: "Th\u1ef1c th\u1ec3 m\u1ed3 c\u00f4i (Orphan) bao g\u1ed3m th\u1ef1c th\u1ec3 kh\u00f4ng c\u00f3 ID ho\u1eb7c th\u1ef1c th\u1ec3 t\u1ed3n t\u1ea1i bi\u1ec7t l\u1eadp kh\u00f4ng c\u00f3 c\u00e1c quan h\u1ec7 M2M t\u1ed1i thi\u1ec3u b\u1eaft bu\u1ed9c."\n- \u0110i\u1ec1u 21: "Layer 5 l\u00e0 t\u1ea7ng bi\u1ec3u di\u1ec5n chu\u1ea9n ho\u00e1 c\u00e1c quan h\u1ec7 th\u1eadt th\u00f4ng qua ma tr\u1eadn \u0111a chi\u1ec1u \u0111\u01b0\u1ee3c tr\u00edch xu\u1ea5t t\u1eeb PostgreSQL."\n- \u0110i\u1ec1u 28: "M\u1eabu chu\u1ea9n TPL-002 (DirectusMatrix) l\u00e0 khu\u00f4n m\u1eabu b\u1eaft bu\u1ed9c cho c\u00e1c giao di\u1ec7n hi\u1ec3n th\u1ecb ma tr\u1eadn \u0111a chi\u1ec1u."\n\n### Q7: C\u00f2n thi\u1ebfu s\u00f3t n\u00e0o ch\u01b0a ph\u00e1t hi\u1ec7n?\n- \u0110\u1ed2NG \u00dd. H\u1ec7 th\u1ed1ng \u0111\u00e3 ch\u1eb7t ch\u1ebd.\n- R\u1ee7i ro duy nh\u1ea5t: Thi\u1ebfu c\u01a1 ch\u1ebf Version control cho pivot_definitions. C\u1ea7n th\u00eam field version ho\u1eb7c modified_by \u0111\u1ec3 tr\u00e1nh vi\u1ec7c Agent n\u00e0y s\u1eeda filter l\u00e0m sai b\u00e1o c\u00e1o c\u1ee7a Agent kia.\n\n---\n\n## II. K\u1ebeT LU\u1eacN T\u1ed4NG TH\u1ec2\n\n**\u2705 TH\u00d4NG QUA (APPROVE)**\n\nKi\u1ebfn tr\u00fac v3.4 \u0111\u00e3 s\u1eb5n s\u00e0ng cho Mission 1. Vi\u1ec7c lo\u1ea1i b\u1ecf CACHE v\u00e0 chuy\u1ec3n sang JSON Filter spec l\u00e0 nh\u1eefng quy\u1ebft \u0111\u1ecbnh s\u00e1ng su\u1ed1t.\n\n---\nReport by Gemini CLI | Round 2",path: