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How AI changes the development workflow
Planning, implementation, QA, documentation, and the judgment still required to ship well.
01
AI speeds up the middle
AI is useful for drafts, scaffolding, code review, test ideas, refactoring support, and documentation. It does not remove the need for product judgment.
02
Verification matters more
When code moves faster, verification becomes the stabilizer. The workflow should include tests, browser checks, accessibility review, and actual user-story validation.
03
The team still owns the system
AI can help produce work, but the team remains responsible for architecture, security, maintainability, and the user experience.
AUTHOR
Rohan Kapoor
Senior Industry News specialist at Cipher Hive, writing about practical digital systems.