Reviews that catch bugs and smell, not nitpicks
Code review prompts focused on correctness, security, and maintainability—with severity labels.
Effective review prompts tell the model your stack, risk tolerance, and what to ignore (style bikeshedding). Output is grouped by severity.
Coding workflow on LMpad
Debug, review, and document with prompts that include your stack context.
- 1
Save stack-specific prompts
Duplicate the React debugger or code review template and add your framework to the body.
- 2
Paste minimal repros
Put errors and snippets in variables — not the entire repo — for sharper answers.
- 3
Run & compare models
Try a fast free model for first pass; escalate to a reasoning model for subtle bugs.
- 4
Log outputs on the pad
Save postmortem and review outputs under the note for team handoff.
- 5
Remix for PR types
One prompt for security review, another for style — don't merge unrelated goals.
Use cases
Solo devs
Pin debugger + explain-code prompts for daily use.
Tech leads
Standardize review prompts the whole team saves to their pads.
Bootcamp grads
Learn patterns from explain-like-junior outputs saved over time.
Open-source maintainers
Publish generic review templates on your author page.
Pro tips
- →Ask for tradeoffs and risks, not just the first fix.
- →Include 'what you already tried' in a variable every time.
- →Never paste secrets or production credentials into prompts.
LMpad tutorials
Step-by-step guides for using the site — pad, models, publishing, and more.
Why use LMpad for this
- Security and edge-case checklist built in
- Severity tags: blocker, warning, suggestion
- Paste PR diffs or full files
Ready-to-run prompts
Copy, fill in {{variables}}, and run with your preferred model. How to run prompts →
React Component Debugger
Diagnose React bugs with likely causes, fixes, and a minimal reproduction plan.
Explain This Code Like I'm Junior
Break down complex code into plain English with analogies and a learning path.
App Feature Spec Writer
Turn a feature idea into a dev-ready spec with acceptance criteria.
Frequently asked questions
Can AI replace human review?+
No—it accelerates first pass. Blockers still need a human on critical paths.
What about large PRs?+
Review file-by-file or summarize the diff intent first.
Does it work for Python or Go?+
Set {{language}} and {{framework}} in the template.
Save prompts to your pad
LMpad is an AI prompt workspace synced to your account. Browse community templates, remix them on your pad, and run with OpenRouter.