Assist reviews of complex pull requests
Cisco engineers use Codex to review both human-written and AI-generated code. OpenAI reports review-time reductions of up to 50%. The customer example does not publish the sample size or measurement procedure.
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
Engineering teams in large technology companies; code review and testing experience.
Not for
Unsuitable as the only review for security-critical changes.
Brain Score
- Impact
- 1/2
- 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: Codex Code Review still reviews GitHub pull requests, with repository rules and human approval before merging.
Augments or replaces?
Augments your skills
Today: AI flags defects and explains risks, while engineers assess findings and decide whether to merge.
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.