AI-Powered Developer Search: Sourcegraph Cody, Glean, Codeium Search

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-tools-AI-developer-search-platforms-creators

1. What is the core idea behind "AI-Powered Developer Search: Sourcegraph Cody, Glean, Codeium Search"?

   1. Compare AI search tools for code and internal docs across an engineering org.
   2. Force adoption against engineer preference (it backfires)
   3. smart TVs
   4. Cite sources inline at report scale.

2. Which term best describes a foundational idea in "AI-Powered Developer Search: Sourcegraph Cody, Glean, Codeium Search"?

   1. semantic code search
   2. dev search
   3. org-wide search
   4. RAG over code

3. A learner studying AI-Powered Developer Search: Sourcegraph Cody, Glean, Codeium Search would need to understand which concept?

   1. dev search
   2. org-wide search
   3. semantic code search
   4. RAG over code

4. Which of these is directly relevant to AI-Powered Developer Search: Sourcegraph Cody, Glean, Codeium Search?

   1. dev search
   2. semantic code search
   3. RAG over code
   4. org-wide search

5. Which of the following is a key point about AI-Powered Developer Search: Sourcegraph Cody, Glean, Codeium Search?

   1. Find code by intent rather than exact name.
   2. Surface related docs and discussions.
   3. Generate explanations of unfamiliar code.
   4. Force adoption against engineer preference (it backfires)

6. What is one important takeaway from studying AI-Powered Developer Search: Sourcegraph Cody, Glean, Codeium Search?

   1. Replace careful onboarding for new engineers.
   2. Index everything with consistent quality.
   3. Force adoption against engineer preference (it backfires)
   4. smart TVs

7. What is the key insight about "Search platform eval" in the context of AI-Powered Developer Search: Sourcegraph Cody, Glean, Codeium Search?

   1. Force adoption against engineer preference (it backfires)
   2. smart TVs
   3. Run 30 real developer queries through each tool. Measure: top-3 hit rate, answer quality, latency, indexing freshness.
   4. Cite sources inline at report scale.

8. What is the key insight about "Stale indexes mislead silently" in the context of AI-Powered Developer Search: Sourcegraph Cody, Glean, Codeium Search?

   1. Force adoption against engineer preference (it backfires)
   2. smart TVs
   3. Cite sources inline at report scale.
   4. Indexing lag means engineers may follow outdated guidance. Surface index age in the UI.

9. Which statement accurately describes an aspect of AI-Powered Developer Search: Sourcegraph Cody, Glean, Codeium Search?

   1. Semantic search across code and docs is a legitimate productivity win when scoped properly.
   2. Force adoption against engineer preference (it backfires)
   3. smart TVs
   4. Cite sources inline at report scale.

10. Which best describes the scope of "AI-Powered Developer Search: Sourcegraph Cody, Glean, Codeium Search"?

    1. It is unrelated to tools workflows
    2. It focuses on Compare AI search tools for code and internal docs across an engineering org.
    3. It applies only to the opposite beginner tier
    4. It was deprecated in 2024 and no longer relevant

11. Which section heading best belongs in a lesson about AI-Powered Developer Search: Sourcegraph Cody, Glean, Codeium Search?

    1. Force adoption against engineer preference (it backfires)
    2. smart TVs
    3. What AI does well here
    4. Cite sources inline at report scale.

12. Which section heading best belongs in a lesson about AI-Powered Developer Search: Sourcegraph Cody, Glean, Codeium Search?

    1. Force adoption against engineer preference (it backfires)
    2. smart TVs
    3. Cite sources inline at report scale.
    4. What AI cannot do

13. Which of the following is a concept covered in AI-Powered Developer Search: Sourcegraph Cody, Glean, Codeium Search?

    1. dev search
    2. semantic code search
    3. org-wide search
    4. RAG over code

14. Which of the following is a concept covered in AI-Powered Developer Search: Sourcegraph Cody, Glean, Codeium Search?

    1. dev search
    2. semantic code search
    3. org-wide search
    4. RAG over code

15. Which of the following is a concept covered in AI-Powered Developer Search: Sourcegraph Cody, Glean, Codeium Search?

    1. dev search
    2. semantic code search
    3. org-wide search
    4. RAG over code