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How Professional Developers Should Use AI Coding Tools

Where AI coding tools genuinely speed up professional development work, and where manual review still matters.

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Ajay Prajapat

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Ajay Prajapat

AI Educator · Engineer · innovatewithajay.com

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What this session would cover

Proposed outline — the mentor finalises the agenda once this topic is scheduled.

  1. 1Tasks where AI tools save real time: boilerplate, tests, refactors and explanations
  2. 2Tasks where AI output needs careful checking: architecture, security and edge cases
  3. 3Giving the tool the right context from your codebase
  4. 4Keeping changes small and reviewable
  5. 5Team practices: code review, attribution and shared guidelines
  6. 6Avoiding skill atrophy while using AI every day

Who it's for

  • • Working software developers
  • • Engineering leads setting team practices for AI tools

You'd leave with

  • A personal AI coding workflow
  • A list of tasks to delegate vs. review closely
  • Starting points for team AI guidelines

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