Good AI Task

AI compatibility

SQL injection refactoring across a PHP monolith is a strong fit for a code agent.

Good fit

AI can handle this.

Average across 1 submission.

78
avg / 100

The honest read

SQL injection detection and parameterized query refactoring is a well-defined, pattern-matching coding task that current AI agents handle reliably at this scale. The 8,000-line codebase is well within context limits, success criteria are crisp, and the output is reviewable before deployment. The main risk is edge cases in complex dynamic query construction that require human verification before merging.

Aggregated across 1 submission.

The five dimensions

Repeatability

High

SQL injection patterns in PHP are structurally consistent — string concatenation with user input, unescaped variables in queries. The detection and refactoring rules are well-established and apply uniformly across files, making this highly repeatable.

Ambiguity Tolerance

High

Success criteria are concrete: every query using string concatenation with external input must be converted to a parameterized query, and a checklist must enumerate each change. There is little subjective judgment about what 'done' looks like.

Data & Tool Availability

High

The agent needs read/write access to the 12 PHP files, which is straightforward to provide. No live database connection, external APIs, or runtime context is required to perform static analysis and refactoring.

Error Cost

Medium

Incorrect refactoring could break query logic or introduce new bugs, but the output is code that must be reviewed and tested before deployment — it is not an irreversible action. Version control makes rollback trivial, keeping error cost manageable.

Human Judgment Required

Medium

Most cases are mechanical, but some dynamic query builders, stored procedure calls, or ORM hybrids may require a developer to decide the correct parameterization strategy. A human review pass before merging is strongly advisable.

What an agent would need

  • Full read access to all 12 PHP source files (ideally as a zip or repo clone)
  • Knowledge of the database layer in use (PDO, MySQLi, or legacy mysql_* functions) to apply the correct parameterized query syntax
  • A code agent with file-editing capability and static analysis tools or AST parsing for PHP
  • A defined output format for the migration checklist (e.g., file name, line number, original query, refactored query, status)
  • A human developer to review and test the refactored queries before merging to production

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