Build a Claude Coding Agent

• Key points are in the visual diagram above.

The SDK click-tour is not a product. This module is the checklist.

A first PR bot, not a replacement for your entire eng org.

Scenario

A first PR bot, not a replacement for your entire eng org.

Solution

In Claude Agent SDK, apply Build a Claude Coding Agent to this scenario: A first PR bot, not a replacement for your entire eng org. Identify the inputs, run the technique, validate the output, and note one thing you would monitor in production.

Do this before moving to the next module — reading alone is not enough.

Open the Code Walkthrough below and run it locally. Change one parameter related to Build a Claude Coding Agent (e.g. model, temperature, top_k, or tool name), observe the difference in output, and write 2–3 sentences explaining what changed.

Highlighted lines show where Build a Claude Coding Agent happens in the code.

1# Build a Claude Coding Agent — minimal example2from openai import OpenAI3
4client = OpenAI()  # create API client5
6# Ask the model to explain this topic7response = client.chat.completions.create(  # core API call for Build a Claude Coding Agent8    model="gpt-4o-mini",9    messages=[10        {"role": "system", "content": "You explain build a claude coding agent clearly."},11        {"role": "user", "content": f"What is build a claude coding agent?"},12    ],13    temperature=0,14)15print(response.choices[0].message.content)  # show output for debugging

• Skipping evaluation for Build a Claude Coding Agent before production
• No logging or tracing around build claude agent steps
• Ignoring cost and latency implications

Quick recap — the most important points from this module.