AI-Assisted Development Still Needs Human Review.

Why AI can accelerate software work, but architecture, testing, security, accessibility, and final decisions still require experienced human judgment.

AI is strongest as an accelerator.

AI can help draft code, summarize documentation, generate test cases, compare approaches, and identify repetitive patterns.

The best results come when AI supports a clear process rather than replacing one.

Generated code still needs context.

Software lives inside a larger system. A change may affect security, performance, accessibility, data handling, licensing, or compatibility.

An AI system may produce code that looks correct while missing the architecture around it.

Testing cannot be skipped.

Generated code should be linted, reviewed, tested, and validated in the target platform.

For WordPress and WooCommerce, that includes hooks, nonces, capabilities, checkout behavior, account flows, and plugin compatibility.

Security requires deliberate decisions.

AI can suggest secure patterns, but it does not own the risk.

Developers still need to review data validation, escaping, authentication, authorization, storage, external requests, and failure handling.

Human review protects the experience.

The final question is not whether the code runs. It is whether the software serves the user.

DemeWebSolutions uses AI-assisted development as part of a reviewed workflow, not as a substitute for accountability.