AI is becoming an integral part of the custom web development lifecycle, not just a feature to add.
Design phase: AI generates wireframes, suggests layouts, and creates design variations for A/B testing.
Development phase: AI coding assistants write boilerplate, suggest implementations, and catch errors in real-time.
Testing phase: AI identifies edge cases, generates test data, and prioritizes test coverage based on risk.
Post-launch: AI monitors performance, predicts issues, and automatically optimizes caching and CDN configuration.