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LLM UI for Repository Health

Hard

Generative AI & LLMs

Prompt Engineering

Problem

Build a repository insights UI that shows a repo's description, current version, and known vulnerabilities using GitHub GraphQL and REST APIs, with an LLM helping where raw API data is incomplete or messy. Explain how you would combine deterministic API reads with structured extraction, how you would handle ambiguous evidence, and how you would evaluate correctness and safety before shipping.

What This Tests

Agent design over a narrow tool set
Structured extraction from README, releases, and manifests
Eval-first thinking for field accuracy and abstention
Prompt injection handling from untrusted repository content

Problem

Build a repository insights UI that shows a repo's description, current version, and known vulnerabilities using GitHub GraphQL and REST APIs, with an LLM helping where raw API data is incomplete or messy. Explain how you would combine deterministic API reads with structured extraction, how you would handle ambiguous evidence, and how you would evaluate correctness and safety before shipping.

What This Tests

Agent design over a narrow tool set
Structured extraction from README, releases, and manifests
Eval-first thinking for field accuracy and abstention
Prompt injection handling from untrusted repository content

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