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Garry Tan
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* feat: add test_stub optional field to specialist finding schema All specialist prompts now document test_stub as an optional output field, enabling specialists to suggest test code alongside findings. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: adaptive gating + test framework detection for review army Adds gstack-specialist-stats binary for tracking specialist hit rates. Resolver now detects test framework for test_stub generation, applies adaptive gating to skip silent specialists, and compiles per-specialist stats for the review-log entry. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: cross-review finding dedup + test stub override + enriched review-log Step 5.0 suppresses findings previously skipped by the user when the relevant code hasn't changed. Test stub findings force ASK classification so users approve test creation. Review-log now includes quality_score, per-specialist stats, and per-finding action records. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: bump version and changelog (v0.15.2.0) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: bash operator precedence in test framework detection [ -f a ] || [ -f b ] && X="y" evaluates as A || (B && C), so the assignment only runs when the second test passes. Wrap the OR group in braces: { [ -f a ] || [ -f b ]; } && X="y". Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
49 lines
2.3 KiB
Markdown
49 lines
2.3 KiB
Markdown
# Data Migration Specialist Review Checklist
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Scope: When SCOPE_MIGRATIONS=true
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Output: JSON objects, one finding per line. Schema:
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{"severity":"CRITICAL|INFORMATIONAL","confidence":N,"path":"file","line":N,"category":"data-migration","summary":"...","fix":"...","fingerprint":"path:line:data-migration","specialist":"data-migration"}
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Optional: line, fix, fingerprint, evidence, test_stub.
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If no findings: output `NO FINDINGS` and nothing else.
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---
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## Categories
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### Reversibility
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- Can this migration be rolled back without data loss?
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- Is there a corresponding down/rollback migration?
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- Does the rollback actually undo the change or just no-op?
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- Would rolling back break the current application code?
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### Data Loss Risk
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- Dropping columns that still contain data (add deprecation period first)
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- Changing column types that truncate data (varchar(255) → varchar(50))
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- Removing tables without verifying no code references them
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- Renaming columns without updating all references (ORM, raw SQL, views)
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- NOT NULL constraints added to columns with existing NULL values (needs backfill first)
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### Lock Duration
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- ALTER TABLE on large tables without CONCURRENTLY (PostgreSQL)
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- Adding indexes without CONCURRENTLY on tables with >100K rows
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- Multiple ALTER TABLE statements that could be combined into one lock acquisition
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- Schema changes that acquire exclusive locks during peak traffic hours
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### Backfill Strategy
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- New NOT NULL columns without DEFAULT value (requires backfill before constraint)
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- New columns with computed defaults that need batch population
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- Missing backfill script or rake task for existing records
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- Backfill that updates all rows at once instead of batching (locks table)
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### Index Creation
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- CREATE INDEX without CONCURRENTLY on production tables
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- Duplicate indexes (new index covers same columns as existing one)
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- Missing indexes on new foreign key columns
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- Partial indexes where a full index would be more useful (or vice versa)
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### Multi-Phase Safety
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- Migrations that must be deployed in a specific order with application code
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- Schema changes that break the current running code (deploy code first, then migrate)
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- Migrations that assume a deploy boundary (old code + new schema = crash)
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- Missing feature flag to handle mixed old/new code during rolling deploy
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