Shipping vibe-coded apps that actually hold up
"Vibe coding" means letting an AI write most of the app while you steer in plain English. You get a working demo in an afternoon. You also get whatever the model guessed: hardcoded secrets, missing auth checks, dead code, and patterns no human ever reviewed.
secure·vibes scans exactly that. One pass returns two scores, security and code cleanliness, each with its own findings and a Claude-ready fix prompt instead of a wall of results. It's 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 549 self-described AI-built repos
- use caseThe 6 most common security findings in vibe-coded apps, measured rather than guessed
- how toHow we security-benchmarked 549 vibe-coded repos: corpus, engine, caps, and caveats
- use caseClaude Code security: the tool, the code it writes, and how to harden both
- use caseIs Lovable safe? Judge the app it generated, not the builder
- how toSupabase row-level security: why AI skips it, how to find it, how to fix it
- use caseIs Bolt.new safe? The tool is fine. The app it generates needs a check
- use caseYour codebase's cleanliness score, explained: how secure·vibes gets from findings to a number out of 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
- comparisonsecure·vibes vs manual code review: what a scan catches, what only a human can
- use caseThe state of vibe-coded code quality: we scanned 549 self-described AI-built repos
- use caseThe most common mess in AI-generated code, counted across 549 repos
- how toHow we benchmarked 549 vibe-coded repos for code quality: corpus, engine, caps, and caveats
- use caseCode quality checker: score a whole repo from its GitHub link
- use caseCode smells: the common ones, with examples and how to catch them
- use caseSpaghetti code: what it is, why it happens, and how to untangle a repo
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 stuff, like dead code, duplication, and structure that makes the app hard to change safely. Vibe-coded apps tend to have both.