Branch, Commit, PR: Give Agents Rails

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-coder-git-branch-pr-creators

1. In an AI-assisted coding workflow, what is the main reason to create a new branch before making changes?

   1. To isolate an experimental change from the stable codebase until it's verified
   2. To allow multiple developers to work on the same file simultaneously
   3. To automatically test the code before committing
   4. To make the code run faster by isolating it from the main codebase

2. What does a commit represent in a version control system?

   1. A request to merge code with another branch
   2. A saved snapshot that records exactly what changed and why
   3. A complete backup of the entire project
   4. A test run of the new functionality

3. What is the primary value of a Pull Request in a collaborative coding workflow?

   1. It eliminates the need for testing
   2. It provides a surface for human review before changes enter the main codebase
   3. It automatically merges code that works
   4. It lets AI agents approve their own changes

4. A developer says 'I need to use an agent to build a login page.' Why does this approach miss the point of the lesson?

   1. The developer should write the code manually instead of using agents
   2. AI agents cannot build login pages because they require databases
   3. Login pages are too simple for AI agents
   4. The developer named the tool (agent) before defining the job (what the login page must do)

5. What does 'write the smallest useful scope the agent can finish' mean in practice?

   1. Minimize the number of files the agent is allowed to modify
   2. Ask the agent to complete only one function per coding session
   3. Break down a task into the smallest complete piece that delivers value on its own
   4. Have the agent write as few lines of code as possible to impress stakeholders

6. Why should you run the result as a user, not as a fan of the tool?

   1. Because tool fans cannot write good code
   2. Because AI tools are unreliable and should not be trusted
   3. Because the goal is to verify the outcome works for actual users, not to defend the AI's output
   4. Because running as a user is faster than other testing methods

7. Which question should you answer BEFORE an AI agent starts coding?

   1. What is the best programming language for this task?
   2. What rollback path exists if the output is wrong?
   3. What test proves the change works?
   4. What data should the app or agent never expose?

8. What is the purpose of identifying a rollback path before making changes?

   1. To ensure the code can always be deleted quickly
   2. To know how to revert to a working state if the change causes problems
   3. To make the commit history look cleaner
   4. To prevent the AI from making mistakes

9. Why do AI coding platforms like Codex Cloud and GitHub-agent workflows integrate with normal version control?

   1. Because AI generates better code when using Git
   2. Because it turns agent output into normal software artifacts that humans can review, test, and manage
   3. Because version control is required by law
   4. Because branches and commits make the code run faster

10. The lesson states that 'AI can make a working demo quickly.' What does it say is the REAL skill?

    1. Writing prompts that generate perfect code on the first try
    2. Turning a demo into something observable, reversible, and safe for another person to use
    3. Memorizing all Git commands and options
    4. Debugging code that AI has generated

11. What makes code 'observable' in the context of this lesson?

    1. The code has many comments explaining each line
    2. The code uses logging frameworks extensively
    3. The code's behavior can be monitored, its changes tracked, and its state inspected
    4. The code runs without any errors or warnings

12. A developer completes a feature using an AI agent and immediately merges it to the main branch without review. Which principle from the lesson is being violated?

    1. Run the result as a user
    2. Name the job before naming the tool
    3. Inspect the diff, data access, and failure path before sharing
    4. Write the smallest useful scope

13. Why is version control particularly important when working with AI-generated code?

    1. Because AI cannot write code without Git installed
    2. Because AI-generated code changes rapidly and needs to be tracked, reversible, and verifiable
    3. Because version control makes code run faster
    4. Because Git is required to run AI agents

14. What is the relationship between a branch and an 'experiment' as described in the lesson?

    1. Branches and experiments are unrelated concepts
    2. An experiment is another name for a commit message
    3. A branch isolates an experiment from the stable codebase
    4. Branches are only used for production code, not experiments

15. A team adopts AI agents to write their code but finds that outputs are difficult to manage and review. What practice from the lesson would most directly address this?

    1. Writing longer and more detailed prompts
    2. Requiring all code to be written by humans
    3. Using more powerful AI models
    4. Applying branch-commit-PR workflows to agent outputs