How to Start Using Google ADK

Google Agent Development Kit (ADK) helps you build, manage, evaluate, and deploy AI agents. Official docs hub: adk.dev (Python quickstart is the path for this guide). Source reference also appears on GitHub as google/adk-python.

For after-work Python, treat ADK as “get a simple agent running in under ~20 minutes,” then stop—deployment and multi-language tours can wait.

Who this is for

Learners exploring Google’s agent stack alongside other Python frameworks. You should be fine with venvs, pip, and reading a short official quickstart without panic.

Overview: Top 10 AI agent tools for after-work Python.

Steps to start tonight

1. Open the official Python quickstart

Go to adk.dev and open the Python Quickstart (get started in minutes). Prefer adk.dev over outdated mirror blogs.

2. Prepare Python environment + credentials

Create a venv. Install the packages the quickstart lists. Configure whatever Google AI / Vertex / API credentials the current doc requires—only via env vars or the documented auth flow, never in committed files.

3. Create the sample agent project

Follow the quickstart’s generate/create steps (CLI or files as documented). Keep the first agent’s instructions boring and safe: greet, summarize a sentence, or answer a study question—no tool that can spend money or wipe files.

4. Run the agent once locally

Use the run/dev command from the docs. Send one prompt. Confirm a response. If auth fails, fix credentials before adding tools.

5. NOTES.md: ADK vs “just an API call”

Write what ADK added beyond a raw model call (project layout, run loop, future deploy hooks). List one question you still have for weekend reading.

Tiny exercise (15–25 minutes)

Change the agent instruction to: “Reply in at most two short sentences.” Re-run the same user prompt. Observe whether the new instruction sticks—instruction editing is the cheapest experiment.

Pitfalls

• Mixing old github.io paths with current adk.dev. Start from adk.dev.
• Enabling powerful tools on night one. No shell/file/network tools until you understand allowlists.
• Skipping the Python quickstart for a Java/Go tour. Stay on Python for this series.
• Committing service account JSON. Use secrets hygiene.
• Deploying before the local run works. Local success first.

Why this fits after work

ADK’s promise is a short path to a runnable agent. Cap the session when the first prompt works—sleep beats half-configured cloud deploy.

Next step

Keep growing Python fluency with Intro to Python Programming so every new agent kit feels like another library—not a black box.