HealthcareSoftware Engineering

How Doctolib Uses Claude Code to Cut Engineering Onboarding from Weeks to Days

Doctolib deployed Claude Code across its entire engineering team after a 30-engineer pilot, cutting codebase onboarding from weeks to days and compressing a full technical debt migration from weeks to hours. Engineers now get instant pull request reviews without waiting for team availability, freeing them to focus on healthcare feature development.

Impact

Weeks to hours

Technical debt migration time

Weeks to days

Codebase onboarding time

30

Engineers in initial pilot

Challenge

Engineers spent excessive time on documentation, testing, code reviews, and technical debt rather than healthcare feature development, with new team members needing weeks to become productive in unfamiliar codebases.

Solution

Deployed Claude Code across the full engineering team following a 30-engineer pilot, enabling instant PR reviews, accelerated onboarding, and automated technical debt migration.

Tools & Technologies

What Leaders Say

Engineers were spending valuable time on repeatable tasks instead of solving complex healthcare challenges.

Julien Tanay & Thomas Bentkowski, Staff Engineer & Platform Product Manager
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Full Story

Doctolib is Europe's leading healthcare technology platform, connecting 420,000 health professionals with 90 million patients across France, Germany, and Italy. With engineering teams of significant scale, the cost of inefficiency in the development process translates directly into slower delivery of healthcare features.

Engineers were losing meaningful time to repetitive administrative work: writing documentation, generating tests, reviewing pull requests, and managing technical debt — all necessary but low-leverage tasks that pulled attention away from complex healthcare challenges. New team members joining unfamiliar codebases needed weeks to become independently productive.

Doctolib piloted Claude Code with 30 engineers, evaluating its impact on real development workflows before committing to a full rollout. The results justified rapid expansion: onboarding time for unfamiliar codebases dropped from weeks to days, and an entire visual regression testing tool migration — estimated at weeks of work — was completed in hours.

Pull request reviews, previously bottlenecked by team availability, can now happen instantly with Claude Code providing thorough technical review on demand. This removed one of the most common sources of developer flow interruption.

Following the successful pilot, Doctolib rolled out Claude Code to the entire development team. The primary measure of success is straightforward: engineers spend more time solving healthcare problems and less time on tasks that can be automated.

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