What Makes Code Production-Ready? A Practical Checklist
The gap between "it works" and "production-ready"
Most side projects work. They run locally, they do the thing they were built to do. But "works on my machine" and "production-ready" are two different standards — and buyers, employers, and teammates can tell the difference immediately.
Here's what production-ready actually means, broken down by category.
1. No lint errors
Lint errors are the first signal buyers check. A codebase with 47 ESLint warnings says: "I didn't care enough to clean this up."
Fix: Run npx eslint . --fix and manually address what can't be auto-fixed. If you don't have a lint config, add one — the Airbnb or Next.js configs are sensible defaults.
2. Dependencies are current and audited
Outdated dependencies with known vulnerabilities are a red flag. Run:
npm audit
npm outdatedFix critical and high vulnerabilities before listing. Update major dependencies where safe. Pin your versions so buyers get the same environment you tested in.
3. No secrets in the codebase
This should be obvious, but it isn't. Check your git history too — a secret committed and then deleted is still in the log.
Fix:
.env.example with placeholder values.env to .gitignoregit log -S "sk_live_" to check history for leaked keys4. Documentation that covers setup
A developer unfamiliar with your project should be able to get it running in under 15 minutes with only your README. Test this by sending it to a friend.
Your README needs:
5. At least smoke tests
You don't need 100% coverage. But zero tests is a signal that the code was never verified to actually work.
Write tests for:
# For a Next.js project
npm run testEven a simple smoke test that renders each page without crashing dramatically increases buyer confidence.
6. Consistent formatting
Inconsistent indentation (tabs vs spaces, 2 vs 4) is a small thing that signals larger inconsistency. Use Prettier:
npx prettier --write .Add a .prettierrc so buyers know the formatting is intentional.
7. Error handling at boundaries
Production code handles failure gracefully. API calls can fail. Databases go down. Check that you're:
The CodeCudos quality score
CodeCudos runs automated analysis on every listing covering all of the above. Listings get a grade (A–F) for lint, security, documentation, tests, and dependency health. Buyers see this grade before they purchase — a high score drives conversion.
Before you submit, run through this checklist. An hour of cleanup can move your grade from C to A, and an A-grade listing sells significantly better.