MigrationLens — Evidence-Grounded Technology Migration Intelligence powered by Sanity

Описание и применение

MigrationLens предоставляет точные, доказуемые планы миграции для сложных обновлений стеков, используя структурированные данные Sanity и GROQ‑запросы, что снижает ошибки и повышает доверие.

Задача

Engineering teams migrating frameworks or runtimes often rely on vector search and LLM chatbots that hallucinate deprecated flags, miscalculate dependency constraints, or mix advice across incompatible release years.

Результат

MigrationLens delivers accurate, traceable migration plans with a 98% confidence metric, detailed breaking changes matrix, and actionable step‑by‑step guidance, reducing hallucinations and dependency errors.

Рабочий процесс

• 1. User requests migration plan via API with source and target technologies.
• 2. Migration Agent executes parallel GROQ queries (QUERY_MIGRATION, QUERY_CHANGES, etc.) against Sanity document schemas.
• 3. Agent synthesizes breaking changes, prerequisite checks, dependency constraints, and step‑by‑step migration steps.
• 4. Confidence score and evidence trail are calculated based on claim density and source authority.
• 5. Structured JSON payload with summary, confidence, breaking changes matrix, actionable steps, dependency matrix, and source links is returned to the user.

Доказательства

MigrationLens solves this by reasoning over structured entities stored in the Sanity Content Lake.

Источник

Grounded Confidence Metric: Calculates a verifiable confidence score (98%) based on Sanity claim density and primary source authority.

Источник

Every recommendation rendered in MigrationLens can be traced back to structured schema entities and primary evidence stored in Sanity.

Источник