Shipping vibe-coded apps that actually hold up
"Vibe coding" — letting an AI write most of the app while you steer in plain English — gets you to a working demo in an afternoon. The catch is that it also ships whatever the model guessed: hardcoded secrets, missing auth checks, dead code, and patterns no human ever reviewed.
secure·vibes and clean·vibes scan exactly that. One scores the security risks, the other the code cleanliness, and both hand you a Claude-ready fix prompt instead of a wall of findings. Use them together as the review step vibe coding skips.
guides
- use caseVibe coding security risks: why AI-built apps ship the same six problems
- how toThe pre-launch security checklist for vibe-coded apps
- how toHow to check a GitHub repo for security issues (by hand, and in one paste)
- how toYou committed an API key to GitHub. Here's the order of operations.
- use caseAI-code security scanner: what the category is for, and what to expect from one
- comparisonsecure·vibes vs Snyk and enterprise SAST: different tools for different builders
- use caseSQL injection in AI-generated code: the string-built query problem
- use caseYour codebase's security score, explained: the exact math behind secure·vibes's 0–100
- how toHow to fix security findings with Claude Code: what a good fix prompt contains
- use caseThe state of vibe-coded security: we scanned 99 self-described AI-built repos
- use caseThe 6 most common security findings in vibe-coded apps — measured, not guessed
- how toHow we security-benchmarked 99 vibe-coded repos: corpus, engine, caps, and caveats
- use caseYour codebase's cleanliness score, explained: the exact math behind clean·vibes's 0–100
- how toHow to clean up vibe-coded apps: the tidy-up pass AI-built repos never get
- how toHow to detect and delete dead code (commented-out blocks, TODO piles, debug leftovers)
- use caseHow much code duplication is too much — and which copies actually matter
- use caseConsistency in a codebase: filenames, indentation, and the phantom diffs they cause
- how toRepo hygiene checklist: README, .gitignore, lockfile, and the junk that shouldn't be in git
- how toRefactoring a messy repo with Claude Code: prompts that tidy without breaking
- use caseCode quality metrics that actually predict pain — and the vanity numbers to ignore
- comparisonclean·vibes vs manual code review: what a scan catches, what only a human can
- use caseThe state of vibe-coded code quality: we scanned 99 self-described AI-built repos
- use caseThe most common mess in AI-generated code — measured across 99 repos, not guessed
- how toHow we benchmarked 99 vibe-coded repos for code quality: corpus, engine, caps, and caveats
- use caseAI code review overhead is the new review tax — here's where it goes, and how to cut it
- how toHow to keep AI-generated code quality high: a practical workflow for teams shipping with agents
- comparisonquality·vibes vs linters and static analysis: different tools for the AI-slop problem
- use casePreventing architectural drift: keeping a codebase coherent when agents write most of it
frequently asked
What is vibe coding?
Vibe coding is building software by prompting an AI to write most of the code, steering it in natural language rather than writing the code yourself. It's fast, but the output ships unreviewed, so a separate quality and security pass matters more, not less.
Do I need both a security and a cleanliness scan?
They catch different problems. A security scan finds exploitable holes — exposed secrets, missing authorization, injectable inputs. A cleanliness scan finds the slow-burn issues — dead code, duplication, and structure that makes the app hard to change safely. Vibe-coded apps tend to have both.