How Nubank split a 6-million-line ETL monolith with Devin
Nubank had Devin carry out the repetitive sub-tasks of breaking its ETL monolith into sub-modules, with engineers reviewing every change. Cognition reports large gains in speed and cost.
The problem
Nubank's eight-year-old ETL system had grown to over 6 million lines, with dependency chains up to 70 deep. Splitting it meant moving about 100,000 data class implementations. The plan called for roughly 1,000 engineers over 18 months.
How they did it
- Collected examples of migrations that engineers had already done by hand.
- Fine-tuned Devin on part of those examples and kept the rest as a benchmark.
- Had Devin complete migration sub-tasks on its own while engineers reviewed and approved the changes.
- Let Devin write its own scripts for recurring mechanical steps, such as detecting country extensions from file paths.
Results
- As reported by Cognition: an '8x engineering time efficiency gain' and '20x cost savings'.
- The story describes 'a 12x efficiency improvement in terms of engineering hours saved' and an '8-12x faster migration'.
- After fine-tuning, Cognition reports a 'doubling of Devin's task completion scores' and a '4x improvement in task speed'.
As reported by the source (Cognition (Devin) customer story); AgentGid did not measure these figures.
This suits a platform team with a large, repetitive migration, a backlog of hand-done examples to tune on, and engineers with time to review every change. Watch the numbers: the 8x and 20x gains are vendor-reported by Cognition, and the cost of that review work isn't counted in them. Devin starts at $20/mo, but Jules (Free + $19.99/mo) is a cheaper cloud option for smaller, less demanding jobs.
The agent used here
Similar use cases
How Thomson Reuters modernized legacy .NET applications with AWS Transform
Thomson Reuters used AWS Transform's agents to port old .NET Framework applications to cross-platform .NET and Linux. AWS reports faster upgrades and lower running costs.
As reported by AWS: Thomson Reuters modernizes '1.5 million lines of code every month — a 4x boost in velocity'.
How RV Tech sped up vehicle software test generation with Devin
The Rivian–Volkswagen joint venture uses Devin to generate software-in-the-loop tests from requirements and to pre-triage vehicle access tickets. As reported by Cognition, test ou…
As reported by Cognition: a '10-15x increase in test generation velocity'.
How Evinova drafted regulated GxP documentation and fixed bugs with Devin
Evinova, an AstraZeneca clinical-trial technology company, used Devin to draft GxP documents from Jira and source code and to run a scheduled bug-fixing playbook. Senior engineers…
As reported by Cognition: URS documents that took '35 to 40 hours' came out as first drafts 'at roughly 90% accuracy', a reported '8x faster GxP docu…
Guides
Best AI Agents in 2026: Live Rankings by Category
The leading AI agents for coding, design, research, data, marketing, sales, support, HR, finance, legal, DevOps and security, ranked by public usage data that refreshes daily, with prices and free options.
Best AI Coding Agents in 2026: Ranked by Usage, Benchmarks and Price
The AI coding agents developers use most, with live download and install numbers, benchmark results, entry prices and a way to choose between terminal, IDE and cloud agents.