62  For what purposes do you use generative AI tools?

62.1 Nordics

62.1.1 Descriptive Statistics

Generative AI usage purpose (Nordics)
Total respondents: 50
Category Respondents (n) Percentage (%)
Writing or debugging code 41 82.0%
Learning or teaching programming concepts 24 48.0%
Generating technical documentation 21 42.0%
Summarising technical material 19 38.0%
Creating test cases or testing strategies 18 36.0%
Designing software architectures 10 20.0%

62.1.2 Free-text responses

Usage of AI [Others]
Response Category Frequency (n) Percentage (%)
Code assistance and refactoring 2 22.2%
Code comprehension and problem solving 2 22.2%
Code review and linting 1 11.1%
Prototyping and scaffolding 1 11.1%
complementing pr reviews 1 11.1%
generate the raw code 1 11.1%
search engine replacement (since they all suck now) 1 11.1%

The raw-to-category allocation table for this question is in Appendix B.

62.1.3 Statistics by age group

Generative AI usage purpose by age group (Nordics)
Total respondents with age reported: 50. Rows are ranked separately within each age group by respondent count.
Below 35 (n=16)
35-45 (n=24)
45+ (n=10)
Category Respondents (n) Percentage (%) Category Respondents (n) Percentage (%) Category Respondents (n) Percentage (%)
Writing or debugging code 14 87.5% Writing or debugging code 19 90.5% Writing or debugging code 8 88.9%
Learning or teaching programming concepts 9 56.2% Learning or teaching programming concepts 11 52.4% Generating technical documentation 4 44.4%
Summarising technical material 9 56.2% Generating technical documentation 10 47.6% Learning or teaching programming concepts 4 44.4%
Creating test cases or testing strategies 7 43.8% Creating test cases or testing strategies 8 38.1% Creating test cases or testing strategies 3 33.3%
Generating technical documentation 7 43.8% Designing software architectures 7 33.3% Summarising technical material 3 33.3%
Designing software architectures 1 6.2% Summarising technical material 7 33.3% Designing software architectures 2 22.2%

62.2 Within Nordics

Warning: 1 unknown level in `f`: Iceland
Generative AI usage purpose selections within Nordics
Total respondents: 50. Percentages are within each country.
Category Respondents (n) Percentage (%)
Estonia (n=8)
Writing or debugging code 7 87.5%
Learning or teaching programming concepts 6 75.0%
Generating technical documentation 5 62.5%
Summarising technical material 5 62.5%
Creating test cases or testing strategies 3 37.5%
Designing software architectures 3 37.5%
Denmark (n=4)
Writing or debugging code 4 100.0%
Creating test cases or testing strategies 3 75.0%
Generating technical documentation 3 75.0%
Learning or teaching programming concepts 3 75.0%
Summarising technical material 3 75.0%
Sweden (n=14)
Writing or debugging code 11 78.6%
Generating technical documentation 6 42.9%
Learning or teaching programming concepts 6 42.9%
Designing software architectures 4 28.6%
Creating test cases or testing strategies 3 21.4%
Summarising technical material 2 14.3%
Norway (n=9)
Writing or debugging code 9 100.0%
Summarising technical material 7 77.8%
Creating test cases or testing strategies 6 66.7%
Generating technical documentation 6 66.7%
Learning or teaching programming concepts 4 44.4%
Designing software architectures 1 11.1%
Finland (n=14)
Writing or debugging code 10 90.9%
Learning or teaching programming concepts 5 45.5%
Creating test cases or testing strategies 3 27.3%
Designing software architectures 2 18.2%
Summarising technical material 2 18.2%
Generating technical documentation 1 9.1%
Warning: 1 unknown level in `f`: Iceland
1 unknown level in `f`: Iceland
Warning: Removed 2 rows containing missing values or values outside the scale range
(`geom_text()`).

62.3 Between Countries