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