Engineering review

Code-review prompts

Good AI code review prompts ask for risk first, not praise. Make the model check behavior, edge cases, security, tests, and deployment impact before suggesting cleanup.

Verified April 17, 2026Workflow prompt system

Prompt scorecard

The review prioritizes correctness and regressions.
Security and data-handling risks are checked.
Missing tests are named.
Line-specific findings are separated from style notes.
The final summary is concise.

Copy-ready prompts

Review this diff for bugs, regressions, security risks, and missing tests. Prioritize findings by severity.

Act as a senior reviewer. Ignore style unless it affects maintainability or behavior. Focus on what could break in production.

Generate a PR review checklist for this feature, including manual QA and rollback risks.

Workflow sequence

Step 1

Provide the diff and intended behavior.

Step 2

Ask for high-severity findings first.

Step 3

Ask for missing tests second.

Step 4

Only then ask for cleanup or refactor suggestions.

Source log and methodology

Pricing, plan names, and product claims are checked against official vendor pages first. Recommendations are workflow-first: the winning plan is the lowest-cost option that does not bottleneck the weekly job.

OpenAI prompting guideOpenAI prompt engineering strategiesAnthropic prompt engineeringGemini prompting strategies

Next step

Turn the decision into a working AI stack

Use the comparator for plan selection, then route repeatable workflows into the Power Guides or Weekly AI Signal instead of collecting more generic AI tips.

Get the Power GuidesGet the Weekly AI Signal