Accelerate feature development across engineering teams
Rakuten engineers use Claude Code for tests, components, bug fixes and documentation. Rakuten reports average feature delivery falling from 24 working days to five. A separate seven-hour vLLM implementation reached 99.9% numerical agreement with its reference, rather than general code correctness.
Source checked: the source link is valid and the automated fact check passed. The summary is AI-assisted. This is not human verification. Check the original source before relying on its claims.
For whom
Developers at medium and large companies; strong testing and code-review skills.
Not for
Not suitable for treating numerical agreement in one task as universal code accuracy.
Brain Score
- Impact
- 2/2
- Evidence
- 1/2
- Reproducibility
- 1/2
- Maturity
- 2/2
- Reach
- 1/2
Five values from 0 to 2. The total has a minimum of 1. A reading aid based on the source, not an independently measured performance result. How the score works
Still current?
Current
Today: Claude Code still supports feature implementation, tests, fixes and documentation, including parallel agents and extended autonomous work.
Augments or replaces?
Mixed
AI can implement and test substantial changes autonomously, while engineers set requirements, guide the work and review results.
Original source
- Type
- Vendor
- Published
- Data as of
The data date records when this dataset was included in the collection. It is separate from the publication date of the source.