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Grade BproductionSource date Oct 17, 2026· Last verified Oct 17, 2026

How did Nubank use Devin to migrate a multi-million-line ETL monolith?

Nubank · Banking & Financial Services

Header image: A calculator and papers on a tidy desk

Nubank delegated the migration of its 8-year-old, multi-million-line core ETL monolith to Devin. Cognition reports a 12x efficiency improvement in engineering hours saved and over 20x cost savings.

Reported outcomes

engineering efficiency
12x improvement in engineering hours saved
Source [1] · self-reported
cost savings
over 20x
Source [1] · self-reported

Outcomes are reported exactly as stated by the source; we have not independently audited them.

How it works

  1. Engineers delegate migration sub-tasks to Devin.
  2. Engineers review and merge Devin's changes.

Risks & compliance

  • Agent-written code requires human review and testing
  • Vendor-published results; not independently audited
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Tools mentioned & how to build it

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Tools mentioned

  • Devin (Cognition)
    Autonomous AI software engineer from Cognition.

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  • n8n
    Open-source workflow automation with AI agent nodes; self-host or cloud.
  • Relevance AI
    Build an 'AI workforce' of agents, e.g. BDR agents that research and book meetings.

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Sources

[1]Cognition (Devin)· vendor customer story· Undated (accessed Oct 17, 2026)
“engineers were able to delegate Devin to handle their migrations and achieve a 12x efficiency improvement in terms of engineering hours saved, and over 20x cost savings.”
How Nubank refactors millions of lines of code to improve engineering efficiency with Devin

Grade rationale: Named organization with a quantified outcome from the vendor or the organization itself (self-reported). Automated check on Oct 17, 2026: 1/1 quotes and 2/2 outcome claims matched the source. Compiled by the Agent Casefile research desk (AI-assisted; see methodology). Spot an error? Request a correction.

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