Define the Security Question
Start with a change that has a clear boundary, such as a hypothetical edit to a login handler or file-upload path. Identify the affected files, entry points, sensitive data, trust boundaries, and security property you need to preserve. Choose concrete concerns that fit the code, such as authorization checks, input validation, secret handling, path traversal, or unsafe deserialization. Include relevant conventions and nearby callers so the tool can reason from evidence. Remove credentials, personal data, and production records before sharing context. If a finding would depend on configuration or code you have not supplied, mark that dependency as unknown instead of asking the tool to guess.
Give the Tool Reviewable Context
Ask the coding tool to inspect the implementation alongside related tests, dependency declarations, and repository security guidance. Request findings that identify the code location, preconditions, potential impact, and supporting evidence. For a hypothetical report that a route lacks object-level authorization, inspect how identity is established, where access decisions are made, and whether tests cover one user attempting to access another user's object. Check middleware, shared helpers, and call paths rather than relying on a single excerpt. If the report assumes a missing configuration or framework behavior, verify that assumption in the repository's current documentation or code. Keep the proposed review question narrow enough that each claim can be checked independently.
Verify Claims and Run Relevant Checks
Compare each claim with the actual code and distinguish a reproducible defect from a plausible concern or false positive. For the hypothetical authorization issue, write or adapt tests for an authorized request, an unauthorized request, and relevant invalid or absent identity conditions. Run the focused test suite and any repository-prescribed static analysis or dependency checks that apply. Record the commands, environment limitations, and actual outcomes for your own review; do not infer success from a generated summary. If a check fails, determine whether the failure comes from the patch, environment, or an existing issue before drawing a conclusion. If you cannot run a check, state that it remains unverified and choose an additional code-level review where useful. Passing tests can support a conclusion, but do not by themselves establish that all security paths are covered.
Review the Patch and Its Limits
Inspect the full diff, error paths, data handling, and dependency changes before accepting a suggested fix. Prefer a small change consistent with the application's existing authorization and validation patterns. In the hypothetical route fix, confirm that the access check applies to every relevant call path and that the default behavior matches the repository's policy; then review whether tests would catch a regression. Models can miss repository context, misread framework conventions, or suggest an incomplete change, so retain developer responsibility for the decision and record unresolved assumptions. NexoToken provides AI model API access, account platform credits, and usage history; these can support a workflow where you select available access and monitor your own usage. Do not infer that a particular model will find every flaw or that a generated patch is secure without review. For current catalog, pricing, and platform details, consult the main platform documentation.
Sources & further reading
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