Engineering teams build their own AI tools
Instead of lectures, engineering teams worked with modern AI tools on their own development problems, understanding the opportunities and limits of the technology from their own experience.
What emerged
- Code review tool with AI-assisted feedback in the team's own repo context
- Automated test generation for existing modules
- A skills library that keeps what was learned in-house
- Internally trained AI champions acting as multipliers
Format
Hackathon with real tasks
Duration
1 to 5 days, depending on the format
Outcome
Running prototypes & proof of competence
