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AI Cut Our Research Time From 7 Days to 15 Minutes — Gareth Yoder, Vanguard

Gareth Yoder explains how Vanguard exposed legacy code through MCP while teams migrated data, producers, and consumers for a high-volume cash ledger.

AI Engineer · 2026 featured video

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What this video shows

Yoder reports that Vanguard made a legacy codebase available to AI tools through an MCP server. A research loop that had taken a mainframe engineer seven days could then return an answer in 15 minutes. The broader program migrated data, producers, and consumers while serving up to 30 million calls per day.

The case supports retrieval and explanation, not unattended migration. Keep experts responsible for requirements and use deterministic checks for row counts, field values, idempotency, permissions, delivery guarantees, and service health. Treat generated findings as leads until engineers verify them against code, data, tests, and runtime evidence.

Review the Model Context Protocol architecture before exposing internal resources and tools. Use OpenTelemetry traces to connect requests with services and migration failures.

What you will learn

  • Searchable legacy code can shorten research while experts retain the decision.
  • Data migration needs deterministic reconciliation outside model output.
  • Documentation becomes part of the product when many producers and consumers must move.
  • Permissions and observability matter before and after migration.

How to apply this safely

  1. Start with read-only access to one repository and a documented set of research questions.
  2. Require every generated answer to cite files, symbols, and relevant documentation.
  3. Verify migration claims with row counts, field comparisons, contract tests, and runtime traces.
  4. Measure research time, correction rate, unsupported claims, onboarding effort, and incidents.

Important limitations

  • The seven-day and 15-minute figures are speaker-reported and compare different research paths rather than a controlled trial.
  • Vanguard already had experts, governance, documentation, and migration teams that another organization may lack.
  • Faster research does not establish migration correctness, security, or net program savings.
  • An MCP server can widen access to sensitive code or tools when authorization is too broad.

Sources to check

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AI evals guide

Score research accuracy and migration outcomes separately.