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The Rise of AI Coding Assistants: Friend or Foe to IT Teams?
- Jul 8, 2025
AI coding assistants are a friend to IT teams when they are used to speed up well-understood work — boilerplate, tests, refactoring and documentation — under human review. They become a risk when teams accept generated code without understanding it, which can introduce security issues, inconsistent architecture and technical debt.
How AI Coding Assistants Help
•Faster routine work. Generate boilerplate, tests and small functions quickly.
•Learning. Explain unfamiliar code and libraries.
•Refactoring. Suggest cleanups and migrations.
•Documentation. Draft comments, READMEs and API docs.
The Risks
•Security. Generated code can skip validation or expose secrets.
•Quality drift. Inconsistent patterns accumulate without code review.
•Over-reliance. Junior developers may miss fundamentals.
•Licensing and data. Teams must follow company policy on what code is shared with tools.
How to Adopt Them Responsibly
•Write a clear usage policy covering approved tools and data.
•Require code review and tests for all changes, AI-written or not.
•Run security and dependency scanning in CI.
•Measure outcomes such as cycle time and defect rates, not just lines of code.
What It Means for IT Roles
Engineers spend less time typing and more time designing, reviewing and integrating. Skills in architecture, testing, security and product thinking become more valuable. Read our deeper take in Vibe Coding and AI Coding Assistants.
Frequently asked questions
They change how developers work rather than replacing the need for engineering judgement, review and accountability.
They can be, with approved tools, clear data policies, code review and security scanning.
Track delivery speed, defect rates and review effort over time rather than code volume.
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