Whether you are reviewing Qt Quick or Qt Widget code with Qt’s agentic skills, you can reduce your token consumption significantly by upgrading to the latest versions while getting the same review quality.

We have been restructuring the QML and Qt C++ code review skills. We achieved major token savings by:

Running the AI deep analysis with a single agent instead of launching 6 separate subagents analysing the same code from different perspectives

Handling the AI deep analysis without any subagent based on the defined rules if the code-under-review is less than 2500 lines

Enabling a focussed code review only on code that has been modified during the AI session

When we created the qt-qml-review and qt-cpp-review skills, Claude Sonnet 4.6 and GPT 5.4 were the frontier models we worked with. At that time, enterprises enjoyed flat-fee subscription packages from GitHub and Anthropic. Hence, we built the review skills with speed and review depth in mind with 6 sub-agents.…