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.github-copilot-exercises/other_ides/github_copilot_exercises_2.md

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@@ -232,7 +232,7 @@ Before beginning test analysis, create a specialized QA agent to focus on testin
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1. **Analyze the Feature Implementation**
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- Open a new Copilot Chat session
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- Select **"QA Specialist"** from the agent picker
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- Ask: `@workspace Based on the recently added weather data persistence system, analyze what needs testing.`
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- Ask: `@project Based on the recently added weather data persistence system, analyze what needs testing.`
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- Follow up: `Generate a comprehensive list of test cases covering unit, integration, and edge case scenarios.`
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- Request: `What testing frameworks and setup do we need for this Python 3.10+ project?`
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**Deliverable:** Create a `docs/TEST-ANALYSIS.md` file documenting the test cases, edge cases, and setup plan.
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#### Part 1.2: Test Strategy (Optional)
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#### Part 1.2: Test Strategy
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For a more strategic approach, you can add a high-level test strategy phase:
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**Deliverable:** Document the test strategy in `docs/epic_weather_analytics_testing/TEST_STRATEGY.md`
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#### Part 1.4: Detailed Test Plan Generation with Lead Developer
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#### Part 1.4: Detailed Test Plan Generation with QA Specialist Agent
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1. **Create the Test Implementation Plan**
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- Start a new Copilot Chat session and select **"QA Specialist"** from the agent picker
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4. **If Tests Fail (Bug Found):**
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- Start a **new chat session**
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- Paste the full error output into the chat
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- Ask: `@workspace This Python test is failing with the error below. Analyze the relevant Python code and the test to identify the bug. Propose a fix using Python best practices and proper exception handling.`
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- Ask: `@project This Python test is failing with the error below. Analyze the relevant Python code and the test to identify the bug. Propose a fix using Python best practices and proper exception handling.`
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- Include the error output in your message
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- Review the agent's analysis and proposed fix
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- Apply the fix, re-run tests to confirm they pass

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