What is artificial intelligence-assisted software development?

Definition

Artificial intelligence can draft code, explain a repository, suggest tests, review changes and automate repetitive engineering steps. Its value depends on how well those outputs fit the actual codebase and move through the team's normal delivery process.

Useful adoption should be measured through reviewed and validated outcomes, not model activity alone. Tests, maintainability, customer impact and safe deployment determine whether generated work improves engineering rather than simply increasing output volume.

Acronyms and aliases

AI-assisted development variantAI-assisted software development variant

Frequently asked questions

What tasks can artificial intelligence assist in software development?

It can assist with code generation, repository search, explanation, review, testing, documentation and workflow automation.

How should teams measure artificial intelligence coding value?

They should measure reviewed, validated and maintainable outcomes such as accepted changes, customer improvements, quality and delivery cost.

Videos explaining artificial intelligence-assisted software development