Use GPT-5.6 Sol for Comprehensive Code and Architecture Reviews
Deploy Sol to find hidden bugs in legacy or complex codebases.
Use GPT-5.6 Sol specifically for code reviews because it is optimized to scan and identify problems in complex application structures that other models ignore.
The Scenario
A software engineer wants a second set of eyes on a complex pull request that touches legacy parts of the application.
Before & after
Senior developers conduct manual pull request reviews, focusing on logic but often missing deep-seated edge cases in unfamiliar parts of the codebase. This takes 45–60 minutes.
Using Sol as a reviewer allows it to look at the entire workspace, finding deep architectural issues in about 5 minutes.
The Prompt
Review the following code modules for architectural flaws and edge cases that could cause memory leaks. Focus on the [SPECIFIC_COMPONENT] integration. [PASTE_CODE_OR_FILES]
Sol is noted for reviewing parts of applications that other models (like Claude Fable) might miss. To use it effectively, provide it with 'Workspace Write' access to your local environment for full context.
Source
Model Release Notes | OpenAI Help Center"Sol reviews parts of the app Fable refuses to touch and finds real problems there."