Prompt Pack · Free

Review a diff through a finder and a skeptical verifier

A two-pass code-review playbook: one model proposes possible issues, a separate verifier challenges each one, and you inspect the supported findings before making a change. Includes copy-paste prompts, a security taxonomy, exclusions, and a resolution-rate worksheet.

Free
Download price
Finder → verifier → review
Review pipeline
No email, no payment
Download friction
the-$0-ai-code-review-playbook · library
Categories
Finder → adversarial …
Copy-paste Finder + V…
Security lens
Works with ANY OpenAI…
The resolution-rate m…
Prompt
Act as a [role] for [business].
Goal: [outcome] · tone: [voice]
Output: a ready-to-ship [asset].
Copy promptruns in Claude · ChatGPT · Gemini

How it works

The exact pipeline, end to end.

1
Pick the prompt
2
Fill the brackets
3
Run in any LLM
4
Get pro-grade output

How it actually works

Exactly what it does — and when.

1Use a Finder prompt to propose concrete issues in a supplied diff
2Give every candidate to a separate skeptical Verifier prompt
3Inspect the remaining evidence and tests before accepting a finding
In practice · A two-pass review before merge

A developer runs the Finder prompt on a risky diff, then sends each candidate through the Verifier. Several weak findings are rejected or narrowed. The developer checks the supported items against the actual code and tests before deciding which changes are warranted; the prompts do not guarantee that every bug is found.

Why it wins

This product
Writing prompts from scratch
Time to output
Seconds — fill the brackets & run
Hours staring at a blank box
Quality
Proven, pro-grade, repeatable
Hit-or-miss, inconsistent
Coverage
Every job already written
Reinvent each one yourself
Ownership
Reuse on every client
One-off each time

Use it to…

Real ways people put The $0 AI Code-Review Playbook to work.

Review a risky diff

Run the finder prompt, then challenge every candidate with the verifier before acting on it.

Add a security-focused pass

Apply the taxonomy and exclusion list to code that handles input, access, secrets, or external calls.

Track useful findings

Record which findings led to accepted fixes instead of optimizing for raw alert volume.

What's inside

Finder → adversarial verifier → confirmed-only
Copy-paste Finder + Verifier prompts
Security lens: full vuln taxonomy + exclusion list
Works with ANY OpenAI-compatible model, $0
The resolution-rate metric that proves it works
Instant download — no email, no payment

The shift it creates

Without it
  • Staring at a blank prompt box
  • Generic, inconsistent output
  • Rewriting the same prompts daily
With it
  • Finder → adversarial verifier → confirmed-only
  • Copy-paste Finder + Verifier prompts
  • Security lens: full vuln taxonomy + exclusion list

Who it's for

Developers reviewing a risky diff

want a structured second challenge before accepting a model finding

Small teams without another review service

can use models they already configure

Security-conscious maintainers

need a taxonomy and exclusions to focus the pass

Questions, answered

✓ Free · no email✓ Yours to own✓ Use on every project✓ Built to ship results

Ready to put The $0 AI Code-Review Playbook to work?

Free download · no account needed · yours forever

The $0 AI Code-Review Playbook