MigrationLens — Evidence-Grounded Technology Migration Intelligence powered by Sanity

Description and use

MigrationLens delivers accurate, evidence‑based migration plans for complex stack upgrades by querying structured Sanity data with GROQ, reducing hallucinations and dependency errors.

Problem

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.

Outcome

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.

Workflow

• 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.

Evidence

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

Source

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

Source

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

Source