Are You Ready to Work with AI?

Use this self-assessment to measure your readiness to integrate AI into your developer workflow. Give yourself 1 point for each yes. A higher score means you are AI-ready; a lower score highlights the skills to strengthen.

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Check each statement that feels true for your current practice.

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AI Readiness Checklist

Tool awareness Are you familiar with at least one AI coding assistant (GitHub Copilot, ChatGPT, Tabnine) and have you used it in your environment? Workflow usage Do you regularly use AI to help with coding tasks (boilerplate, standard functions, documentation, tests) in your daily work? Critical review When AI suggests code, do you take time to verify, test, or validate it yourself before adopting it? Limit awareness Do you understand AI limits and risks (hallucinations, technical debt, security) and know when not to follow it blindly? Effective prompting Can you craft clear prompts with context, expected output format, or examples to get relevant results? Security checks Do you check security aspects of AI-generated code (SQL injection, error handling, input validation) before deploying? Code consistency Do you follow clear coding conventions and know how to guide AI to respect them? Collaboration and reviews Are you open to peer reviews of AI-assisted code and discussing AI suggestions with your team? Continuous learning Do you stay informed about AI developer tools and keep learning to improve your mastery? Ethical and legal awareness Are you aware of privacy, licensing, and company guidelines when using AI-generated code?

0 Points

Your AI readiness snapshot

Select the statements that apply, then submit to see your score.

0-4 points: Time to build foundations. Explore AI tools and start practicing with small, safe tasks.

5-7 points: You are on the way. Strengthen review habits, prompting, and security checks.

8-10 points: AI-ready. You have solid practices to collaborate effectively with AI.