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Understand fraud developer?

1. Lack of Fundamental Knowledge

  • They struggle with basic concepts (e.g., data structures, algorithms, OOP, SQL).

  • Can’t explain what their code does in simple terms.

  • Rely too heavily on frameworks or copy-pasting without understanding.

2. Overuse of Buzzwords

  • They throw around tech jargon but can’t explain it in context.

  • Example: Saying “microservices, Kubernetes, AI, blockchain” but failing to describe when or why to use them.

3. Dependency on Google/ChatGPT/StackOverflow

  • Every small task requires searching or asking for help.

  • They cannot solve even moderately new problems without external code.

4. Inability to Debug

  • A good developer can track down errors logically.

  • A fraud developer will panic, keep guessing, or blame tools/others.

5. Shiny Portfolio but No Depth

  • They show many “projects” but can’t explain design choices, trade-offs, or real challenges.

  • Projects look copied from tutorials or GitHub without customization.

6. Code Quality Issues

  • Messy, inconsistent, or duplicated code.

  • No understanding of best practices (naming, testing, version control).

  • Code doesn’t scale or breaks easily.

7. Communication Red Flags

  • Avoids detailed discussions about implementation.

  • Gives vague or generic answers like: “That’s easy, I’ll handle it” but struggles when asked specifics.

  • Defensive when questioned about their work.

8. Resume/Experience Mismatch

  • Claims many years of experience, but struggles with interview tasks.

  • Certifications without actual applied skills.

  • Can’t explain past work or role clearly.

✅ How to Test Them

  • Ask them to explain their own code in plain English.

  • Give them a small coding task (not just copying from the internet).

  • Ask scenario-based questions: “What would you do if the server is slow?”

  • Look for problem-solving process, not just answers.

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