AI-Assisted Development: What Makes Software Ready for Business Use?

Judge the delivered system #

A prototype can help explore an idea quickly. Before people rely on it, the work needs clear requirements, a maintained codebase, appropriate access controls and evidence that important journeys behave as intended.

The useful question is what has been checked and who is responsible for the result. Tool choice alone does not tell you whether software is dependable.

Review the parts that a demo cannot prove #

Ask how the application handles invalid inputs, interrupted requests, duplicate submissions, missing data and failed integrations. Check what different users are allowed to see and change.

A convincing screen can conceal weak data handling or an unclear operating model. Include error recovery, backups, account removal and handover in the requirements.

Make testing proportionate to the consequences #

Test the business rules that matter, including calculations, permissions and state transitions. Use browser checks for user journeys and automated tests for important repeatable behaviour.

AI-generated code should be reviewed like any other code. A generated test is useful when it checks a meaningful independent expectation, not merely repeats the implementation.

Ask about security and hosting accurately #

Ask who owns the hosting accounts, what is monitored, how secrets are handled, how dependencies are updated and how recovery is tested. Provider assurance does not automatically extend to the application.

The shared responsibility model is a useful illustration of the boundary between infrastructure controls and customer responsibilities.

Agree what happens after launch #

Confirm access, ownership, documentation, third-party licensing, support and ongoing costs in the proposal. You should understand how another capable provider could take over if circumstances change.

A professional delivery process makes these responsibilities explicit and supplies evidence appropriate to the risk. AI can be part of that process without replacing accountability.