AI Developer Experience Survey — 3 Minutes
We're researching how developers build with AI APIs. No product pitch. No spam. Just honest research. Your answers directly shape what gets built next.
What best describes your primary role?
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Please Select
Software Developer / Engineer
Founder / Co-founder
Product Manager
AI / ML Engineer
Freelancer / Indie Developer
Student building projects
Other
Which LLM APIs do you actively use in projects? (Pick your primary one)
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Please Select
OpenAI (GPT-4, GPT-4o)
Anthropic (Claude)
Google (Gemini)
Meta (Llama via API)
Mistral
Multiple providers
I'm evaluating / not using yet
How many AI API calls does your application make per day (roughly)?
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Please Select
Just testing — under 100 calls
Early stage — 100 to 1,000 calls
Growing — 1,000 to 10,000 calls
Scaled — 10,000 to 100,000 calls
Large scale — 100,000+ calls
When building with LLM APIs, which of these challenges have you personally run into? (Select all that apply)
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Managing API costs and rate limits
Getting consistent and reliable outputs
Handling what users type into the AI (unexpected inputs)
Making the app fast enough for real users
Figuring out what I'm legally allowed to do with user data
Keeping user information out of my AI provider's training data
Testing and evaluating AI output quality
Integrating AI into an existing codebase quickly
Do your users ever type personal details into your AI application? Things like their name, phone number, email, ID numbers, or upload documents?
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Please Select
Yes — this happens constantly
Yes — occasionally
Rarely, but it does happen
No — my app doesn't handle that kind of input
I haven't checked
When a user sends personal information through your AI app, what happens to it right now?
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Please Select
It goes directly to the AI API as-is — I haven't added any controls
I have custom code that tries to handle it
I use a third-party tool to process it before it reaches the AI
I restrict what users can input to avoid the issue
I'm not sure what happens to it
Has a data privacy question — from a user, investor, or regulator — ever slowed down or blocked your launch or a customer deal?
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Please Select
Yes — it blocked or delayed something significant
Yes — it came up but didn't block us
Not yet, but I expect it will
No — this hasn't come up
How much does this concern you: user data reaching a third-party AI provider's servers without any filtering?
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Doesn't concern me at all
1
2
3
4
This keeps me up at night
5
1 is Doesn't concern me at all, 5 is This keeps me up at night
If a tool could be added to your AI pipeline in under 15 minutes — with no infrastructure setup — and automatically handled the sensitive-data problem, how would you want to use it?
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Please Select
A simple API call I can add between my app and the AI API
A Python or JavaScript package (pip/npm)
A proxy layer that sits in front of my AI calls
A dashboard where I configure rules
I wouldn't use it — I'll handle it myself
I wouldn't use it — it's not a real concern for me
What would you pay per month for this kind of tool if it actually solved the problem reliably?
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Please Select
Nothing — it needs to be free
Under ₹500 / $6 per month
₹500 to ₹1,500 / $6 to $18 per month
₹1,500 to ₹5,000 / $18 to $60 per month
₹5,000+ / $60+ per month — if it saves me real time and risk
Depends entirely on usage volume
What's the single biggest frustration you have right now with building production-ready AI applications? (Be brutally honest — this is the most important question.)
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Where do you usually go when you're looking for new developer tools or libraries?
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Please Select
Hacker News
Reddit (r/LocalLLaMA, r/MachineLearning, etc.)
Twitter / X
GitHub Trending
Discord communities (LangChain, OpenAI, etc.)
Dev.to / Hashnode / Medium
ProductHunt
Word of mouth from other developers
YouTube tutorials
First name (optional)
Email address — only if you're open to a 15-minute conversation about what you're building. We will not add you to any list.
example@example.com
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