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What’s Your AI-Native Developer Level?
Get a personalized roadmap with tools, prompts, and next steps based on your AI maturity.
1. How often do you use AI tools in your dev workflow?
*
A
I don’t use AI at all.
B
Occasionally for one-off tasks (e.g., regex, bug help).
C
I use it regularly for tasks like scaffolding or writing tests.
D
I have reusable prompts and use AI in my editor.
E
I use structured prompts, QA tools, and track performance.
2. What role does AI play when starting a new feature or ticket?
*
A
I build everything manually — I haven’t adopted AI yet
B
I might use GPT or Copilot if I get stuck.
C
I scaffold features or generate docs with AI regularly.
D
I follow a prompt-driven workflow from spec to tests.
E
I use agents or orchestration tools (like LangGraph or CrewAI) to automate parts of the dev lifecycle.
3. How do you manage your prompts?
*
A
I haven’t explored prompting yet.
B
I type them manually when needed, then forget them.
C
I reuse a few prompts across tickets.
D
I log and improve prompts in Notion or GitHub.
E
I use versioned prompt stacks with QA and fallback logic.
4. What happens after you generate code with AI?
*
A
I don’t use AI for code generation.
B
I manually inspect and sometimes tweak it.
C
I test it locally and use it if it looks right.
D
I validate results using tools like Promptfoo or Guardrails.
E
I run AI-generated code through a full QA chain with test coverage and schema checks.
5. Which of these tools do you currently use? (Select all that apply — we’ll score you based on the you’ve used)
*
I don’t use any AI tools
ChatGPT or Claude
Copilot / Cursor / Copilot Chat
Promptfoo / Guardrails / Prompt Logs
LangGraph / LangSmith / CrewAI / Agent Frameworks
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