Vibe-Eval: Automated Regression, Security, and Functional Checks for Vibe-Coded Apps

Vibe-Eval: Automated Regression, Security, and Functional Checks for Vibe-Coded Apps

Intro

  • Vibe-Eval spins up AI agents to run Playwright-style browser tests against your deployed vibe-coded app, exercising the real UI and API.
  • It layers security probes for auth bypasses, exposed endpoints, insecure defaults, and secrets that often leak from AI-generated scaffolding.
  • Functional validation catches regressions after every “vibed” regeneration, so solo builders can ship fast without breaking core flows.
  • Pair it with periodic human-led “vibe coding audits” for architecture and debt fixes that automation will miss.

What Counts as a Vibe-Coded App?

Anything shipped rapidly via Lovable, Bolt.new, Cursor, Replit Agent, or similar prompt-first builders. They generate a lot of scaffolding and glue code that changes with each prompt. The upside is speed; the downside is unstable auth, fragile state, and surprise regressions when you re-prompt.

Why Vibe-Eval Exists

  • Prompt drift breaks happy-path flows after “regenerate component” or “rewrite backend” requests.
  • Auth and role logic are brittle: missing middleware, broad CORS, and default API keys linger.
  • Manual smoke tests miss edge states (multiple tabs, expired tokens, slow API) that real users hit.
  • Small teams need something lighter than a full QA department yet stronger than a single scripted test.

How Vibe-Eval Works

  1. Attach a target: Provide staging URL, environment variables, and any seeded test accounts or fixtures.
  2. Spin up agents: Parallel AI agents drive real browsers (headful/headless) using Playwright-like controls.
  3. Scenario generation: Agents infer flows from your sitemap/schema or run from provided checklists (e.g., “signup → verify email → create record → export”).
  4. Stateful replay: Tokens, cookies, and local storage are shared so the agent can jump between users/roles to probe authorization.
  5. Signal capture: Console errors, network traces, API responses, screenshots, and DOM diffs are stored as evidence.
  6. Verdicts and prompts: Findings are summarized with reproduction steps and suggested prompt fixes to prevent repeat regressions.

Security Scanning Focus Areas

  • Auth bypass: Tries unauthenticated access, downgraded roles, and tampered JWTs/session cookies.
  • Exposed endpoints: Looks for unprotected admin/router paths, open CORS, default API keys, and debug flags.
  • Input handling: Probes for missing validation, insecure redirects, SSRF-like fetches, and file upload pitfalls.
  • Secret leaks: Checks rendered pages, source maps, and API responses for keys, tokens, or credentials.
  • State abuse: Exercises multi-tab/session races (e.g., cancel vs. submit) that vibe-coded frontends often forget.

Functional & Regression Coverage

  • Critical paths: Signup/login, role switching, CRUD, payments, and exports covered by generated scripts plus your “must not break” checklist.
  • UI drift: Detects missing buttons/labels and 404/500s introduced by re-prompted components.
  • Data contracts: Monitors shape changes in API responses that silently break client-side parsing.
  • Performance basics: Flags slow first meaningful interaction and oversized bundles that spike after codegen.

When You Still Need a Vibe Coding Audit

A “vibe coding audit” is a broader, usually manual or hybrid service (e.g., VibeAudits.com, “vibe coding rescue” shops) that reviews architecture, secrets management, tenancy boundaries, observability, and long-term debt. Vibe-Eval automates dynamic testing; the audit fixes systemic issues and rewrites shaky foundations.

Key Alternatives (Late 2025 Snapshot)

  • Vibe-Eval: Agent-driven browser tests + targeted security probes; best for rapid releases and regen-heavy codebases.
  • QA Wolf / Reflect.run AI modes: Strong hosted Playwright with some AI flakiness recovery; less security depth than Vibe-Eval.
  • Checkly + LLM co-pilot: Great synthetic monitoring; security coverage is minimal, and flows need manual hints.
  • LangSmith/Traceloop + Playwright DIY: Maximum control and observability; more setup/maintenance, but flexible for bespoke stacks.
  • StackHawk/OWASP ZAP/Detectify: Strong DAST/SAST for APIs; great companion for backend-heavy services, but no UX flow validation.
  • Manual vibe coding audits (VibeAudits.com, boutique “vibe rescue” firms): Human-led reviews that fix architecture, tenancy, and prompt practices; pair with Vibe-Eval for continuous coverage.

Quick Start Recipe

  1. Point Vibe-Eval at staging with seeded test users (admin, member, no-scope) and toggle flags mirroring production.
  2. List your non-negotiable flows (“checkout”, “workspace invite”, “data export”) plus must-not-open endpoints (admin APIs, debug tools).
  3. Run nightly and on every regen; require green runs before prod deploys.
  4. Triage findings weekly: fix prompt patterns that reintroduce issues, and add guardrails (middleware, schema validation) where Vibe-Eval repeatedly flags risk.
  5. Schedule a quarterly vibe coding audit to pay down architecture and security debt the bots cannot rewrite.

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