Implementation and debugging
ChatGPT is often a strong first choice when you need to explain an error, refactor code, write a function, compare approaches or reason through a bug. It tends to handle back-and-forth debugging well.
Still, code output should be treated as a draft. Run tests, inspect edge cases and avoid pasting secrets or private code unless your company policy allows it.
Docs and ecosystem context
Gemini can be useful when the question touches Google products, Android, Google Cloud or documentation that benefits from Google ecosystem context. It can also help summarize docs and build examples.
The best developer workflow is often two-step: use one model to propose a solution, then ask the other model to find flaws.
Safe coding workflow
Ask for assumptions, risks and tests. Ask the model to explain why a change works. Then run the code locally and verify behavior. Do not merge generated code just because it compiles once.
For security-sensitive code, use AI as a reviewer and brainstorming tool, not as the final authority.