AI content
AI uses
Nasqueron dwellers use the tools they want under their own responsibility.
Language models are welcome to inspire/proofread/review/generate/code what you want.
Automatic generation without human supervision or with blind trust can be frowned upon, see for example on Stack Overflow.
For privacy policy reasons, we don't query APIs like OpenAI directly in services hosted by Nasqueron, for example we don't plan to use ChatGPT in Sentry to offer solutions to reported issues.
AI content transparency
Tag any development activity where ChatGPT or another IA model has been useful. Try to include what part, so we can prepare a report of the areas where it's the most interesting to use it.
Credit on images the tool used to generate them Dall-E, Adobe Firefly, Stable Diffusion, etc. The prompt used is welcome too.
Development with AI
Here a summary of our experience with models, mainly ChatGPT.
Analysis
- ChatGPT can produce a draft for a entity/associations diagrams, so you've a format to work with (ServPulse)
- ChatGPT can't really be helpful to suggest product names (temperature too low?), but is helpful to justify the choices, state the values
Code review
- Not really useful: compliment the clarity, respect of the forms and the best practices, but don't give actionable hints
- Could be cool for morale if not technically to have positive feedback
Development
ChatGPT understands the prompts but to generate code, that's clearly not relevant.
- For a parser function, it's easier to write it in code than specify the requirements (and it will try to reguest the parsing)
- Can't write correctly C (null-terminated strings, segfaults) or Rust (borrowing, suggest methods not for the object you work with)
- Can't write pure sh scripts without errors
