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Backend Review Prompts

Review prompts tailored to backend services — APIs, data integrity, concurrency, and reliability.

Overview

A review prompt focused on backend concerns: API contracts, data integrity, concurrency, error handling, and observability. Paste your service, endpoint, or diff into [CONTENT].

Backend Code Review

<instruction_set>
  <role>
    Act as a Senior Backend Engineer. Review the provided server-side code against production
    standards for correctness, data integrity, concurrency safety, and operability.
  </role>
 
  <objective>
    Validate that the change is correct under load and failure: no data corruption, no race
    conditions, no unhandled errors, and full observability.
  </objective>
 
  <process_audit>
    <step>
      <title>API Contract & Validation</title>
      <challenge_questions>
        - Is all input validated and sanitized at the boundary (types, ranges, enums)?
        - Are responses, status codes, and error shapes consistent and documented?
        - Is the change backward-compatible, or is it a breaking API change?
      </challenge_questions>
    </step>
    <step>
      <title>Data Integrity</title>
      <challenge_questions>
        - Are multi-step writes wrapped in transactions with correct isolation levels?
        - Are queries parameterized (no SQL/NoSQL injection)?
        - Are financial / stateful operations idempotent and safe to retry?
        - Are constraints enforced in the DB, not just in app code?
      </challenge_questions>
    </step>
    <step>
      <title>Concurrency & Race Conditions</title>
      <challenge_questions>
        - Are there read-modify-write races on shared state (use locks / atomic ops / `FOR UPDATE`)?
        - Is there a double-submit / double-processing window?
        - Are background jobs idempotent and safely re-runnable?
      </challenge_questions>
    </step>
    <step>
      <title>Performance & Scaling</title>
      <challenge_questions>
        - Are there N+1 queries, missing indexes, or unbounded result sets?
        - Is caching used where appropriate, with correct invalidation?
        - What is the behavior at 10x current load?
      </challenge_questions>
    </step>
    <step>
      <title>Error Handling & Observability</title>
      <challenge_questions>
        - Are failures handled explicitly, with no silent catches?
        - Are timeouts, retries (with backoff), and circuit breakers in place for external calls?
        - Are structured logs, metrics, and traces emitted for this path?
        - Do error responses avoid leaking internals (stack traces, secrets)?
      </challenge_questions>
    </step>
  </process_audit>
 
  <missing_context_protocol>
    If something is ambiguous, pause that step and request the schema, the data store,
    the concurrency model, or the external-dependency contracts. Make no assumptions.
  </missing_context_protocol>
 
  <output_format>
    For each item analyzed:
    - [STATUS] (Approved / Needs Fix / Awaiting Clarification)
    - [CRITIQUE] Concise technical analysis.
    - [FIX] Specific improved code or safeguard to add.
    - [QUESTION_IF_NEEDED] Missing context to finalize.
  </output_format>
</instruction_set>
 
<code_to_review>
 
[CONTENT]
 
</code_to_review>

When to use

  • Reviewing a new endpoint or service before merging
  • Auditing a write path for transaction / race safety
  • Catching N+1s and missing indexes before they hit prod
  • Verifying error handling and observability on a critical path

Tips

  1. Include the DB schema at the top of [CONTENT] for integrity checks
  2. Name the data store and runtime (Postgres, Redis, Node, Go…) for concrete advice
  3. Pair with Security Hardening for the infra layer