Google unveils a new way to work with the Google Ads API: the Developer Assistant v1.0, a Gemini CLI extension that translates plain English prompts into usable code, GAQL queries, and even live API calls. This tool sits inside the Gemini CLI and leverages your project context from GEMINI.md and related config files to tailor generated code to your environment. Ask something like, “How do I filter by date in GAQL?” and you’ll get instant, practical guidance. Or describe a task—“Show me campaigns with the most conversions in the last 30 days” — and you’ll receive both a GAQL query and a complete Python script that follows best practices with the google-ads-python client library.
What you get:
- Run generated scripts directly from the terminal for read-only API calls, with results presented in clean, tabulated formats.
- Export any tabular output to CSV, saved automatically to a dedicated directory when you command it.
- All code produced by the assistant is saved into a saved_code/ folder for easy reference.
Why this matters: the Google Ads API is powerful but intricate. The Developer Assistant lowers the barriers, helping teams quickly build, test, and refine workflows that power large-scale campaign management and reporting.
By converting natural language into GAQL queries and ready-to-run code, it cuts through bottlenecks and speeds up insights that can inform better optimization. One-command execution plus CSV exports means analysts and engineers spend less time debugging and more time boosting performance.
Big picture: Google presents the assistant as both a learning tool and a productivity booster. For newcomers, natural-language prompts simplify onboarding. For power users, automatic code generation, automatic file organization, and direct command-line execution cut repetitive tasks from daily API work.
Getting started: you’ll need a Google Ads API token, a configured google-ads.yaml, Python 3.10 or newer, the Gemini CLI, and a local clone of the google-ads-python library. A setup script can handle cloning, and full instructions are available on GitHub.
What’s next: Google invites early adopters to share feedback, suggest features, and join the community Discord channel (https://discord.com/invite/Xfb4MHt8fA) as it explores more enhancements and AI-driven tooling.
Bottom line: enabling natural-language queries, code generation, and one-command execution makes the Google Ads API faster, more intuitive, and more accessible to a broader range of users.
If you’d like, I can tailor this rewrite to a specific audience (developers, marketers, or executives) or adjust the tone to be more formal or more casual. Which direction would you prefer?
