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AI coding assistants: what developers should know

AI assistants can now write, review and explain code. Used well, they speed up delivery — used carelessly, they create new risks. A practical guide.

Oct 23, 2026 · 1 min read · By DT Solutions

Laptop screen displaying colourful code
Photo: Mohammad Rahmani on Unsplash

AI coding assistants have become part of the daily workflow for many software teams. They can draft functions, write tests, explain unfamiliar code and suggest fixes.

Where they help most

  • Boilerplate and repetitive code — forms, validation, data mapping.
  • Writing tests for existing functions.
  • Explaining legacy code that nobody remembers writing.
  • Refactoring large files into cleaner pieces.

Where you still need humans

  • Business rules. Only your team knows how VAT, credit limits or discounts really work in your company.
  • Security reviews. Generated code must be checked for injection, access-control and data-leak risks.
  • Architecture decisions that affect the system for years.

Our approach

We treat AI as a fast junior assistant: helpful, but every line is reviewed, tested and owned by an experienced developer. That lets us deliver faster without lowering quality.

#AI#Programming#Productivity

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