How Nokia analyzed more than 50 million lines of code in two weeks with Cursor
Two Nokia engineers used Cursor to analyze a large C, C++ and Go codebase before breaking up a monolith. The analysis had been expected to need a much larger expert team.
The problem
Nokia's Core Networks division wanted to decompose a monolith into a distributed, service-based architecture. The upfront analysis was expected to take several months, custom tooling and a dozen or more specialists.
How they did it
- Two engineers used Cursor to explore the hybrid C, C++ and Go codebase across multiple repositories.
- Systems engineers loaded logs, past tickets, code and debug traces for root-cause analysis.
- Ran multiple agents in parallel to find hotspots and propose triage steps.
- Used Cursor for requirements gathering and to draft PRDs.
Results
- As reported by Cursor: 'two engineers analyzed more than 50 million lines of code in two weeks'.
- Nokia estimates this freed up 'more than a dozen specialists over several months'.
- A tool built in the project automated and visualized 'approximately 80% of a workflow' that had involved 6–10 project and program managers.
As reported by the source (Cursor customer story); AgentGid did not measure these figures.
This suits a small team of experienced engineers who already know the stack and can judge whether the agents' maps of the code are right, since a multi-repo setup like Nokia's needs that review time. Treat the 50-million-line and two-week figures as Cursor-reported, and note that paid plans bill usage at model API rates, so parallel agents can add cost. GitHub Copilot (Free + $10/mo) is a cheaper alternative to try first.
The agent used here
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