Using AI to Plan a Framework or Library Migration

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-ai-coding-migration-helper-r12a1-creators

1. Why do framework or library migrations often stall or fail when attempted as a single large pull request?

   1. One big PR creates too many integration points to test and review, making it hard to isolate what broke something
   2. The version control system cannot handle large PRs with many file changes
   3. AI tools cannot process migration scripts that are longer than 100 lines
   4. The new version's documentation is typically incomplete, making large migrations impossible

2. Which of the following is something AI can effectively assist with during a library migration?

   1. Guaranteeing that the migrated code will have the same runtime performance
   2. Translating an old API call to its new equivalent using documentation
   3. Automatically deploying the changes to production after migration
   4. Detecting whether your team has made undocumented patches to the library

3. What information about your codebase is AI unable to know when helping plan a migration?

   1. The general purpose of the library being migrated
   2. The names of files in your project directory
   3. Private forks or undocumented patches your team has made
   4. The syntax rules of the programming language being used

4. Why is it important to lock dependency versions before starting a migration?

   1. Locked dependencies prevent the team from making any code changes during migration
   2. It ensures AI will generate more accurate migration suggestions
   3. Locked dependencies make the code run faster on older hardware
   4. It creates a baseline snapshot that allows you to verify what the migration broke

5. What does it mean for a migration phase to be 'independently shippable'?

   1. The phase can only be shipped during a scheduled release window
   2. The phase requires shipping all changes together as one atomic unit
   3. Each phase must be reviewed by an external auditor before shipping
   4. The phase can be deployed at any time without any other phases being completed

6. What key limitation should teams be aware of when using AI to translate API calls during a migration?

   1. AI cannot handle migrations between different programming languages
   2. AI may translate the syntax correctly but cannot guarantee the performance characteristics remain the same
   3. AI will always produce code that fails type checking
   4. AI cannot understand comments in the code being translated

7. Before starting any migration, what two practical steps does the lesson recommend?

   1. Write all migration code in a single file and back it up to git
   2. Inform all stakeholders and schedule daily standup meetings
   3. Lock dependency versions and snapshot a green test run
   4. Hire a consultant and purchase new hardware

8. When requesting a phased migration plan from AI, what should each step explicitly list?

   1. The estimated cost in cloud computing resources
   2. The specific files that need to be modified
   3. The Git commit hashes for all prior migrations
   4. The name of the developer responsible for each change

9. What is the primary advantage of breaking a migration into multiple small, testable phases?

   1. It allows the team to avoid writing unit tests for each phase
   2. It reduces the total number of developers needed for the project
   3. It makes it easier to identify and fix issues because each change is isolated
   4. It automatically generates documentation for the migration

10. To get the best migration plan from AI, what information should you provide in your prompt?

    1. The entire git history of your repository
    2. A screenshot of your IDE showing the error messages
    3. Only the names of the files you want to change
    4. The current library version, the target version, and a request for a phased plan

11. What is a 'green test run' in the context of migration planning?

    1. A test that verifies the new library is more performant than the old one
    2. A test environment that uses environmentally friendly hosting
    3. A baseline run of the test suite where all tests pass before migration begins
    4. A testing tool that automatically fixes failing tests

12. How does AI help with translating API calls between library versions?

    1. AI rewrites the entire codebase without any input from the developer
    2. AI uses documentation to convert old API syntax to the new equivalent
    3. AI automatically deletes deprecated code without review
    4. AI compiles the code and fixes any compilation errors

13. When asking AI for migration help, what documentation should you make available?

    1. The new version's API documentation and any migration guides available
    2. Only the README file from the project
    3. A collection of memes about technical debt
    4. The company's financial records for the quarter

14. Why can't AI guarantee that translated code will preserve performance characteristics?

    1. AI only sees the syntax of the code, not how it executes or what resources it consumes at runtime
    2. AI always produces faster code regardless of the input
    3. AI is required by law to make code slower
    4. AI intentionally slows down code to encourage cloud usage

15. What are 'intermediate checkpoints' in a phased migration plan?

    1. Milestones where the team reviews progress and runs tests before proceeding to the next phase
    2. Final approval sign-offs from management
    3. Automatic backups of the database during migration
    4. Documentation pages that explain how to roll back