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AI in Software Development

How AI changes software work — code generation, review, testing, documentation — and how teams adopt it well.

Editorial team 1 min read

Software development has been transformed by AI coding tools.

Uses

  • Code completion and generation.
  • Coding agents that implement features and fix bugs across files.
  • Code review assistance.
  • Test generation.
  • Documentation and explanation of unfamiliar code.
  • Debugging from error messages and logs.
  • Migration between languages and frameworks.

Benefits

Faster routine work, quicker onboarding to new codebases, and help with unfamiliar technologies.

Risks

  • Plausible but wrong code.
  • Security vulnerabilities.
  • Hallucinated libraries and APIs.
  • Growing codebases nobody fully understands.
  • Licence and intellectual property questions.

Adopting Well

  • Strong tests and continuous integration.
  • Code review for all changes.
  • Project instructions describing conventions.
  • Security scanning.
  • Clear policies on which tools and data may be used.

Skills Shift

Specifying problems, reviewing code, designing systems and testing become more important as generation becomes cheaper.

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