Regression testing for agent changes in Agentic AI - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is regression testing in the context of agent changes?

Regression testing checks if new changes to an agent cause old features to break or behave incorrectly.

beginner

Why is regression testing important after updating an AI agent?

It ensures that improvements or fixes do not accidentally harm existing agent abilities or performance.

intermediate

Name a common method used in regression testing for AI agents.

Running a fixed set of test scenarios or tasks that the agent should handle correctly before and after changes.

intermediate

How can automated regression testing help in agent development?

It quickly detects if new code breaks old functions, saving time and reducing manual checks.

advanced

What is a key challenge in regression testing for AI agents?

AI agents can behave unpredictably, so tests must cover diverse situations to catch subtle errors.

What does regression testing primarily check for in agent changes?

A New features working correctly

B Agent speed improvements

C Old features still working correctly

D User interface design

Regression testing ensures that old features still work correctly after changes.

Which of the following is a good practice in regression testing for AI agents?

A Use automated test suites covering past tasks

B Only test new features

C Run tests manually every time

D Ignore minor bugs

Automated test suites help quickly check that past tasks still succeed.

Why might regression testing be harder for AI agents than traditional software?

A AI agents have unpredictable behavior

B AI agents never change

C AI agents do not need testing

D AI agents are always perfect

AI agents can behave unpredictably, making it harder to cover all cases.

What is a sign that regression testing is effective?

A New bugs appear after every change

B No unexpected failures after updates

C Testing takes too long

D Old bugs reappear frequently

Effective regression testing prevents unexpected failures after updates.

Which tool type is most helpful for regression testing AI agents?

A Spreadsheet software

B Text editors

C Image editors

D Automated test runners

Automated test runners help run regression tests quickly and repeatedly.

Explain why regression testing is critical when making changes to an AI agent.

Think about what could go wrong if old abilities break after updates.

Describe how automated regression testing can improve the development process of AI agents.

Consider the benefits of automation in repetitive testing tasks.

Practice

1. What is the main purpose of regression testing for agent changes?

easy

A. To check if new changes break old agent behavior

B. To improve the agent's speed

C. To add new features to the agent

D. To change the agent's user interface

Solution

1. Step 1: Understand regression testing goal

   Regression testing is done to ensure that recent changes do not break existing functionality.

2. Step 2: Match purpose with options

   To check if new changes break old agent behavior clearly states checking if new changes break old behavior, which matches the goal.

3. Final Answer:

   To check if new changes break old agent behavior -> Option A

4. Quick Check:

   Regression testing = check old behavior intact [OK]

Hint: Regression testing checks old features still work after changes [OK]

Common Mistakes:

• Thinking regression testing adds new features
• Confusing regression testing with performance testing
• Assuming regression testing changes UI

2. Which of the following is the correct way to define a test case for regression testing an agent in Python?

easy

A. def test_agent(): assert agent.run(input) == expected_output

B. test agent run input equals expected output

C. def test_agent: return agent.run(input) == expected_output

D. function test_agent() { return agent.run(input) == expected_output; }

Solution

1. Step 1: Identify correct Python function syntax

   Python functions start with 'def', have parentheses, and a colon.

2. Step 2: Check assertion usage

   def test_agent(): assert agent.run(input) == expected_output uses 'assert' correctly to compare output, matching Python test style.

3. Final Answer:

   def test_agent(): assert agent.run(input) == expected_output -> Option A

4. Quick Check:

   Python test function with assert = def test_agent(): assert agent.run(input) == expected_output [OK]

Hint: Python test functions start with def and use assert [OK]

Common Mistakes:

• Missing parentheses or colon in function definition
• Using non-Python syntax
• Not using assert for test checks

3. Given the code below, what will be the output of the regression test?

class Agent:
    def run(self, x):
        return x * 2

def test_agent():
    agent = Agent()
    result = agent.run(3)
    assert result == 6
    print('Test passed')

test_agent()

medium

A. SyntaxError

B. Test passed

C. AssertionError

D. No output

Solution

1. Step 1: Understand agent run method

   The method multiplies input by 2, so run(3) returns 6.

2. Step 2: Check assertion and print

   The assertion checks if result == 6, which is true, so no error occurs and 'Test passed' prints.

3. Final Answer:

   Test passed -> Option B

4. Quick Check:

   3 * 2 = 6, assertion true, prints message [OK]

Hint: Check method output matches assertion to predict test result [OK]

Common Mistakes:

• Assuming assertion fails without checking output
• Confusing syntax errors with logic errors
• Ignoring print statement after assertion

4. Identify the error in the following regression test code and select the fix:

def test_agent():
    agent = Agent()
    result = agent.run(5)
    if result = 10:
        print('Test passed')
    else:
        print('Test failed')

medium

A. Replace print with return statements

B. Add parentheses around the if condition

C. Change '=' to '==' in the if condition

D. Remove else block

Solution

1. Step 1: Identify syntax error in if condition

   The single '=' is an assignment, not a comparison, causing a syntax error.

2. Step 2: Correct the comparison operator

   Replace '=' with '==' to compare values properly in the if statement.

3. Final Answer:

   Change '=' to '==' in the if condition -> Option C

4. Quick Check:

   Use '==' for comparison in if statements [OK]

Hint: Use '==' to compare, '=' assigns values [OK]

Common Mistakes:

• Using '=' instead of '==' in conditions
• Adding unnecessary parentheses in Python if
• Thinking print must be replaced with return

5. You updated your agent's decision logic. How should you design regression tests to ensure old behaviors remain correct while testing new features?

hard

A. Test randomly without expected outputs to save time

B. Only test new features since old ones worked before

C. Remove old tests to avoid conflicts with new logic

D. Create test cases for both old expected outputs and new expected outputs

Solution

1. Step 1: Understand regression test purpose

   Regression tests verify that old behaviors still work after changes.

2. Step 2: Design tests covering old and new behaviors

   Include test cases for old expected outputs and new expected outputs to check both.

3. Final Answer:

   Create test cases for both old expected outputs and new expected outputs -> Option D

4. Quick Check:

   Test old and new outputs to ensure full correctness [OK]

Hint: Test old and new cases to catch breaks early [OK]

Common Mistakes:

• Ignoring old tests after updates
• Deleting old tests to simplify
• Skipping expected outputs in tests