AutoScout24 Accelerates Development with Codex and ChatGPT
Deploy Codex across engineering pipelines to automate pull request reviews, refactoring, and documentation, and establish an AI Champions network to drive adoption.
Implement Codex in your engineering pipelines to automate pull request reviews and refactoring, and set up an AI Champions network to drive adoption.
Summary
AutoScout24 Group, the largest pan‑European and Canadian online car marketplace, deployed Codex across 1,000 builder employees and ChatGPT across 2,000 staff to accelerate software delivery and improve code quality. The dual‑layer AI adoption strategy cut development timelines from 2–3 weeks to 2–3 days for selected projects, delivering a 10‑fold speed increase and enabling faster experimentation. Codex was integrated into pull request reviews, large‑scale refactoring, technical documentation, and post‑incident analysis, while non‑engineering roles used it to prototype ideas, expanding innovation capacity. A cross‑functional AI Champions network was established to drive organic adoption, provide feedback, and translate AI capabilities into real‑world use cases. The company plans to deepen AI integration into core systems, aiming to further automate and enhance user experiences.
The initiative demonstrates how embedding Codex into existing workflows can boost productivity, consistency, and quality without replacing existing team capabilities. It also highlights the importance of combining broad AI access with deep workflow integration and champion‑led adoption.
Key changes
- Codex rolled out to ~1,000 builder employees, integrated into daily workflows
- Development cycles shortened from 2–3 weeks to 2–3 days for selected projects
- Automated pull request reviews and large‑scale refactoring improved code quality and consistency
- Codex enabled non‑engineering roles to prototype ideas, accelerating innovation
- Cross‑functional AI Champions network created to drive adoption and feedback
- Codex used for technical documentation and post‑incident analysis
- 10‑fold faster development cycles reported across engineering
- 2,000 employees gained AI literacy via ChatGPT rollout