Modernize Legacy AI Code via Interactions API Patterns
Maintain code health by aligning with modern Interactions API patterns.
Modernize your legacy AI implementation by using a coding agent to refactor code into the new Gemini 'Interactions API' structure.
The Scenario
You have an existing AI application but want to upgrade to the latest Gemini features and specialized 'Flash' models for better performance.
Before & after
Manually reading through changelogs and rewriting legacy API calls to match new SDK structures can take 1–2 hours depending on the code complexity.
Provide the codebase to a coding agent like Claude or Copilot and ask it to adapt the code to the new SDK patterns. This conversion typically takes 5–10 minutes.
The Prompt
I am moving my project to the new Gemini Interactions API. Here is my current legacy code: [PASTE_CODE]. Please rewrite this using the latest `google-genai` Python SDK patterns, ensuring it supports multimodal inputs.
The Gemini ecosystem frequently updates (as seen in the July 2026 changelog). Using an AI agent that is aware of these 'Interactions API' patterns ensures your code remains efficient and uses the best available models like Gemini 1.5 Flash.
Source
Release notes | Gemini API | Google AI for Developers"Using a coding agent? Install the skill so your agent stays current with Interactions API patterns."