AI-assisted software development applies AI systems to parts of the software lifecycle. An assistant can interpret requirements, propose code, explain an existing project, operate development tools, run tests, and revise an implementation after feedback.
The assistance can speed up prototyping, but working output still needs evaluation. Generated software may contain defects, misunderstand requirements, or depend on repeated corrections, so completion time and review effort matter alongside the initial result.
ELI5
AI-assisted software development means using AI as a practical helper while making software. The AI can explain code, suggest changes, use development tools, and help test a result, while a person still decides what should be built.
For example, someone learning app development can ask an AI tool to help recreate a basic notes app. Building each feature teaches them about data, buttons, search, and testing in a way that reading ideas alone cannot.
