AI-Assisted Software Development Roadmap

Use coding assistants to ship faster without losing the fundamentals employers still test for.

9 milestones · ~88 hours total

1. 1

   Know your fundamentals first

   ~12h

   Assistants amplify what you understand. Keep practising data structures, debugging and reading code so you can judge what a model gives you.

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2. 2

   Choose and configure tools

   ~4h

   Compare editor assistants and chat tools, set project instructions and decide what code and data may be shared with them.

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3. 3

   Prompting for code

   ~8h

   Give the language, framework, constraints, example input and output, and ask for small, reviewable changes.

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4. 4

   Review everything

   ~10h

   Read generated code like a pull request: logic, edge cases, security, licences and whether you can explain every line.

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5. 5

   Tests as your safety net

   ~10h

   Write or generate tests first, run them and use failures to steer the next change.

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6. 6

   Debugging and refactoring with AI

   ~8h

   Paste the error and the relevant code, ask for hypotheses, then confirm with a debugger rather than trusting the first guess.

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7. 7

   Learning with AI

   ~6h

   Ask for explanations, alternatives and trade-offs, then rebuild the solution yourself to make sure it stuck.

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8. 8

   Working with the limits

   ~6h

   Spot hallucinated APIs, outdated libraries and subtle bugs, and know when to stop prompting and read the docs.

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9. 9

   Ship a project end to end

   ~24h

   Build and deploy a small app with an assistant, keep a changelog of what you wrote yourself, and be ready to discuss it in an interview.

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