Question 1

GitHub Copilot vs Claude vs ChatGPT?

Accepted Answer

Copilot: in-editor suggestions, autocomplete. Claude/ChatGPT: conversational, explaining, planning. Use Copilot for flow, Claude/ChatGPT for complex problems. Many developers use both.

Question 2

Is AI-generated code secure?

Accepted Answer

Review it like any code. AI can suggest insecure patterns. Use security linters. Don't blindly trust—AI is junior developer level. You're responsible for what ships.

Question 3

Will AI make me a worse programmer?

Accepted Answer

No—if you stay engaged. Understand what it generates. Use it to learn new patterns. Don't cargo cult. AI accelerates, but you need to understand the code.

Question 4

What languages work best?

Accepted Answer

Popular languages (Python, JavaScript, TypeScript) have best training data. Obscure languages less reliable. AI is best for common patterns.

Question 5

How do I get better suggestions?

Accepted Answer

Good comments, clear function names, descriptive variable names. Context matters. Keep files focused. Write what you want before you need it.

Question 6

Can AI write entire features?

Accepted Answer

Small, well-defined features, yes. Complex features need human architecture. Use AI for implementation, you handle design. Break down big tasks.

Question 7

What about code quality?

Accepted Answer

AI can write clean code if prompted well. Also generates tests. But review—it can produce overly verbose or non-idiomatic code. Edit for your standards.

Question 8

How do I use AI for debugging?

Accepted Answer

Paste error and code, ask what's wrong. Explain symptoms. AI is great at spotting common bugs. Sometimes suggests fixes immediately. Great rubber duck.

Question 9

What does AI coding cost?

Accepted Answer

Copilot: $10/month individual, free for students/OSS. Claude/ChatGPT: $20/month. Cursor: $20/month. ROI is high if you code regularly.

Question 10

Can AI help with legacy code?

Accepted Answer

Yes—explain what code does, suggest refactors, help modernize. Great for understanding unfamiliar codebases. Paste and ask "what does this do?"

Question 11

How do I integrate into my workflow?

Accepted Answer

Copilot in VS Code/JetBrains. Claude/ChatGPT in browser or CLI. Cursor as full IDE. Start with one, add as needed. Muscle memory develops quickly.

Question 12

What about testing?

Accepted Answer

AI writes decent test cases. Describe what to test, get unit tests. Good for coverage, may miss edge cases. Review test logic too.

Question 13

Can non-technical founders use AI to code?

Accepted Answer

For simple things and prototypes, yes. Production code still needs engineering knowledge. AI lowers barrier but doesn't eliminate it.

Question 14

How do I handle IP concerns?

Accepted Answer

Copilot trains on public code, has licensing debates. Claude/ChatGPT don't train on your input (in some plans). Read terms. Enterprise options available.

Question 15

What about Cursor and other AI-native IDEs?

Accepted Answer

Cursor, Replit AI—purpose-built for AI coding. Deeper integration than plugins. Worth trying if you want AI-first workflow. Rapidly evolving space.

I need AI to help me write and debug code faster

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