Why I Charge $27 for Cursor Rules (And Why It's Worth It)
Last year, I was shipping a SaaS product with a tight deadline. Three developers, all using Cursor. Every pull request was a mess of inconsistent patterns — one person's AI-generated code used field injection, another's swallowed exceptions silently, and mine was generating 500-line god classes because I hadn't told it not to.
I spent an entire weekend writing rules. Not generic "write clean code" rules — specific, framework-aware constraints that made Cursor stop generating garbage. Constructor injection only. Error wrapping with context. Multi-stage Docker builds. The kind of rules you only know to write after debugging production incidents at 2 AM.
By Monday, our pull requests were clean. The AI was generating code that passed review on the first try. I realized the rules themselves had become the most valuable artifact in the project.
So I packaged them up and put a price on them.
"But I Can Write My Own Rules for Free"
You absolutely can. And you should write rules specific to your project's conventions.
But here's what I've learned after shipping 20+ SaaS products and writing hundreds of cursor rules: the hard part isn't writing always use constructor injection. The hard part is knowing which 50 rules actually matter across a production codebase — and getting the specificity right so the AI actually follows them.
Generic rules like "write clean code" do nothing. Rules that are too specific break when context changes. Production-grade rules sit in the sweet spot: specific enough to prevent real bugs, general enough to work across your entire project.
Finding that sweet spot took me months. The rules I sell are the result of real production debugging, real code reviews, and real AI-generated bugs that made it to staging (or worse, production).
The ROI Math That Made Me Comfortable Charging
Let me be honest about why I think $27 is fair.
A mid-level developer costs roughly $50/hour (often more). Here's what bad AI-generated code costs you in a typical week:
| Time sink | Hours/week |
|---|---|
| Fixing inconsistent patterns across PRs | 2-3 hrs |
| Debugging swallowed exceptions / missing error handling | 1-2 hrs |
| Rewriting AI output that doesn't follow team conventions | 2-4 hrs |
| Reviewing code that should have been right the first time | 1-2 hrs |
| Total wasted time | 6-11 hrs |
That's $300-$550/week in developer time — per developer.
Even if my rules save you just 1 hour per week (and they save most teams 3-5), you've paid back the $27 in the first week. Over a year, that single hour per week is worth over $2,500.
$27 vs $2,500+. That's the math.
What's Actually in the Pack
I sell language-specific rule packs. Each one contains 6+ battle-tested rules with before/after examples, copy-paste ready blocks, and the reasoning behind each constraint. Here are the five packs:
1. Java Rules Pack
Constructor injection enforcement, checked exception handling with proper wrapping, record types over raw maps, Spring Boot conventions, DTO validation patterns, and service layer boundaries. If your team uses Spring, these rules eliminate the most common AI-generated anti-patterns.
2. Kotlin Rules Pack
Data classes over Java-style POJOs, sealed classes for state modeling, coroutine-safe patterns, null safety enforcement (no !! operator), extension function conventions, and Kotlin-idiomatic collection operations. Stops the AI from writing "Java with Kotlin syntax."
3. C# Rules Pack
Async/await patterns with proper cancellation tokens, nullable reference type enforcement, record types for DTOs, dependency injection via constructor (not service locator), Entity Framework conventions, and LINQ over manual loops. Prevents the AI from generating pre-C# 10 patterns.
4. Go Rules Pack
Error wrapping with fmt.Errorf and %w, context propagation through every function, interface-at-point-of-use (not next to struct), table-driven tests, goroutine lifecycle management, and named return avoidance. Makes the AI write code that experienced Gophers won't reject in review.
5. Docker Rules Pack
Multi-stage builds enforced by default, no latest tags, non-root users, secret management via build args (not COPY), .dockerignore generation, layer caching optimization, and image size constraints. Turns AI-generated Dockerfiles from security liabilities into production-ready artifacts.
Who This Is For (and Who It's Not For)
This is for you if:
- You use Cursor or Claude Code on a team and waste time fixing AI-generated patterns
- You're tired of re-explaining the same conventions to the AI every session
- You want rules you can drop in and immediately see better output
This is NOT for you if:
- You're a solo hobbyist who doesn't mind tweaking AI output manually
- You already have comprehensive
.cursorrulesfiles that your team maintains - You don't use Cursor or Claude Code
I'm not trying to sell everyone. I'm trying to save time for developers who've already felt the pain of inconsistent AI output.
Get the Rules
Each pack is $27. Instant download. Drop the rules into your .cursorrules or .cursor/rules/ directory and start seeing better output immediately.
Get the Cursor Rules Pack on Gumroad
One good rule prevents one production bug. A full pack prevents dozens.
I'm a developer who ships SaaS products and writes about making AI coding tools actually reliable. If this was useful, follow me here on dev.to for more practical AI development content.
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