Code review prompts that catch bugs, not just style issues

Last updated April 2026

A code review prompt instructs an LLM to analyze source code for bugs, security vulnerabilities, performance issues, and style violations — providing structured feedback that developers can act on immediately.

Why structured prompts for code review

Code review prompts are unusually complex because they need to balance multiple concerns: correctness, security, performance, readability, and style — each with different priorities depending on the team and codebase.

A flat prompt string quickly becomes unmanageable as you add rules for each concern. With structured blocks, each review dimension gets its own section. The instructions block covers what to look for (logic errors, null checks, race conditions). The guardrails block prevents false positives (don't flag intentional type assertions, don't suggest rewrites that change behavior). The output format block ensures consistent, actionable feedback.

Teams using structured code review prompts report fewer "noisy" reviews because each concern is explicitly scoped. When a new security rule needs adding, it goes in the guardrails block without touching the style rules. When the output format changes (say, adding severity levels), only one block is edited.

Example prompt structure
roleCode Reviewer
You are a senior software engineer conducting a thorough code review. Be direct and specific. Cite line numbers when pointing out issues.
instructionsReview Criteria
Evaluate the code for:
1. Logic errors and edge cases
2. Security vulnerabilities (injection, auth bypass, data exposure)
3. Performance issues (N+1 queries, unnecessary allocations)
4. Error handling gaps
5. Readability and naming conventions
guardrailsReview Constraints
Do not suggest style-only changes unless they impact readability. Do not recommend rewriting working code for marginal improvements. Flag severity as Critical, Warning, or Suggestion.
output_formatFeedback Format
For each finding:
- **File:Line** — location
- **Severity** — Critical / Warning / Suggestion
- **Issue** — what's wrong
- **Fix** — specific recommendation
Benefits of structured code review prompts
  • Consistent review quality across reviewers — the criteria block standardizes expectations
  • Severity levels prevent alert fatigue from mixing critical bugs with style nits
  • Security rules live in a dedicated guardrails block, reviewed by the security team independently
  • Teams can A/B test different review prompts by publishing different versions
  • Output format ensures CI/CD integration parses findings consistently
Frequently asked questions
Fetch the compiled prompt via the PromptOT API in your CI step, pass the diff as a variable, and send it to your LLM. The structured output format makes it easy to parse findings and post them as PR comments.
Yes. Create separate prompts per team or project, each with their own review criteria blocks. PromptOT's project-level access control ensures each team manages their own prompts.
Related use cases

API Documentation

An API documentation prompt instructs an LLM to generate clear, consistent API references from endpoint specifications — including descriptions, request/response examples, error codes, and authentication requirements.

Data Analysis

A data analysis prompt instructs an LLM to interpret raw data, identify patterns, generate statistical summaries, and produce actionable insights — with structured output that downstream systems can parse.

Content Writing

A content writing prompt defines how an LLM generates articles, blog posts, or marketing copy — enforcing brand voice, SEO requirements, content structure, and editorial constraints through typed blocks.

Build your code review prompt.

Start with this template or compose from scratch with typed blocks. Free to get started — no credit card required.

Start building freeAll use cases