Good AI Task

AI compatibility

Writing file-upload validation middleware is squarely in AI's coding wheelhouse.

Good fit

AI can handle this.

Average across 1 submission.

82
avg / 100

The honest read

This is a well-scoped coding task with crisp success criteria: specific libraries, specific file types, specific size limits, and a defined list of attack vectors to test. A capable code agent can produce working multer/joi middleware, magic-byte validation, and unit tests covering the stated scenarios without needing human taste or relationship context. The main risk is that the generated code needs review before being merged into a production security layer—this is reversible and testable, not a blind-deploy situation.

Aggregated across 1 submission.

The five dimensions

Repeatability

High

The task is structurally identical every time: given a set of file types, size limits, and attack vectors, produce middleware and tests. There is no unique judgment required per instance—the pattern is stable and well-understood.

Ambiguity Tolerance

High

Success criteria are concrete: multer/joi integration, magic-byte checking, 50 MB limit, 8 named attack vector tests. An agent can verify its own output against these criteria without subjective interpretation.

Data & Tool Availability

High

The agent needs only the existing codebase (or a description of the 12 endpoints) and access to npm package documentation, both of which are readily available. No live credentials, external APIs, or proprietary data are required to write and test the middleware.

Error Cost

Medium

Incorrect validation logic could leave security gaps or break legitimate uploads, but the output is code that must be reviewed and tested before deployment—errors are catchable before they reach production. The reversibility is high, but the security context means a bad merge has real consequences.

Human Judgment Required

Low

No taste, ethics, or relationship context is needed. The decisions—which MIME types to allow, what constitutes a corrupted header, how to structure test fixtures—are technical and well-documented in the security and Node.js ecosystem.

What an agent would need

  • Access to the existing Express codebase or a clear description of the 12 endpoint signatures and current file-handling logic
  • Ability to read npm package documentation for multer, joi, and file-type libraries
  • A Node.js environment or sandbox to run and validate the generated unit tests
  • A defined list of the 8 attack vectors to cover (or authority to choose standard ones: oversized files, MIME spoofing, double extensions, corrupted magic bytes, zip bombs, path traversal filenames, null-byte injection, polyglot files)
  • Clear confirmation of which file types (PDF, DOCX, XLSX) and their expected magic byte signatures are in scope

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