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Guide

Best vibe coding tools in 2026, compared on security

Nine vibe coding tools compared on what matters after the demo: agent permissions, security scans before publish, secrets and who is responsible for the code.

· 10 min read · By the vetkit team

Five different friendly robots on a stage, each holding a different tool, while a developer judges them with a clipboard and a shield.Five different friendly robots on a stage, each holding a different tool, while a developer judges them with a clipboard and a shield.

The short answer

There is no single best vibe coding tool. The right one depends on whether you want a hosted app from a prompt (Replit, Lovable, Bolt, v0) or an AI agent working in your own repository (Cursor, Claude Code, GitHub Copilot, Codex, Windsurf). Most comparisons rank these tools on how fast you get a working demo. This one compares what their own documentation says about security, because that is the part that decides whether the demo can become a product.

One thing is consistent: where a vendor’s documentation or terms address it, they say that you remain responsible for the code the tool produces. We found that statement for Replit, Lovable, v0, Cursor, Claude Code, GitHub Copilot and Codex. This is not a ranking, and we have not tested the tools against each other.

Two kinds of vibe coding tool

App builders run in the browser. You describe an app, and the tool writes the code, sets up a database and publishes it to a live URL. The security questions are about what gets published: is the site public, are the database rules right, did a secret end up in the browser code.

Coding agents work on a repository on your machine or in the cloud. They edit files and run commands. The security questions are about what the agent is allowed to do: which commands it can run without asking, whether it is sandboxed, and what happens to your code.

App builders: Replit, Lovable, Bolt, v0

App builders compared on security features
ToolSecurity check before publishingDatabase and secretsWho can see the published app
ReplitRuns a security scan before publishing; a setting decides whether critical findings block the publish. Dependency scans are automaticAgent can change the development database but not the production one. Secrets are stored encrypted; collaborators can see their valuesPrivate, password-protected or public
LovableThe publish dialog runs a quick scan of database rules, dependencies and MCP exposure. It does not block by default; admins can make critical issues block publishing. A deeper code scan is separateSets up basic row-level security policies and tells you to review them. API keys pasted into chat are detected and directed to a secrets storePublic by default; restricted options depend on plan
BoltA project security audit you start from the publish menu, on paid plans; the documentation recommends running it at least once before you publishTurns on row-level security for tables it creates and flags policies that allow everything. A database security tab is available on all plansPublic by default; private sites need a paid plan
v0Commands run in a sandbox with allow, ask and deny rules. Its documentation does not describe an automated security scan before deployEnvironment variables are kept in a vault and only variables with the public prefix reach the browser. Database integrations can run SQL, including destructive statementsChosen at first publish through Vercel’s deployment protection

Two things stand out. First, a published app is often public unless you change it, so check the visibility setting before you share a link. Second, a scan that runs before publishing does not always stop the publish. In Replit and Lovable, blocking on critical findings is a setting someone has to turn on. Row-level security set up by a tool is a starting point: both Lovable and Bolt tell you to review the rules, and tables you add yourself may not be covered.

Coding agents: Cursor, Claude Code, Copilot, Codex, Windsurf

Coding agents compared on security features
ToolWhat the agent may do without askingSandboxBuilt-in security review
CursorEdits workspace files without approval. Terminal commands and tool calls go through run modes that range from an allowlist to running everythingSandbox for commands on macOS and Linux; the run modes are described as best-effort guardrailsBugbot, a paid pull request reviewer that covers bugs and security issues
Claude CodePermission modes from asking before every edit to an auto mode where a classifier reviews actions; allow, ask and deny rules apply in every modeSandboxed shell tool with filesystem and network isolationA security review command for pending changes
GitHub CopilotThe cloud agent pushes only to its own branch and cannot approve or merge a pull request. The CLI has allow and deny options for toolsFirewall on the cloud agent’s internet access; optional local sandbox in the CLIThe cloud agent checks its own changes with CodeQL, dependency advisories and secret scanning
OpenAI CodexApproval policies combined with sandbox modes from read-only to full access. Network access is off by defaultYes, with read-only, workspace-write and full-access modesCodex Security, a vulnerability scanner in research preview
Windsurf (now Devin Desktop)Terminal modes from asking each time to bypassing permissions; allow, ask and deny rules, with deny taking priorityOS-level sandbox that is off unless enabledWe found none described in its documentation

Most of these agents have a mode that removes the approvals, and using it moves the risk to you. If you let an agent run commands unattended, keep it in a sandbox and in a repository under version control, so a bad change is something you can see and undo. All five also connect to external tools through MCP, which means the agent can act on whatever those tools return. Install only MCP servers you trust.

The built-in reviews are worth turning on, and they are not the same thing. A pull request reviewer comments on a change. It does not audit the repository you already have.

What none of them do for you

These tools are built to write code. Their security features reduce the chance of an obvious mistake at the moment of writing or publishing. They do not answer the question a team asks before a release: is this whole codebase in a state we can ship and maintain?

  • Access between users. No scan can tell whether one customer should be able to read another customer’s records. Test it with two accounts.
  • Dependencies the assistant chose. A package the model invented or a version with a known vulnerability looks like any other install. See the invented packages guide.
  • Code that was written before the scan existed. Scans at publish time look at what is being published now, with the settings someone chose.
  • Quality and reliability. Unfinished functions, missing timeouts and queries inside loops are not security findings, and they are what makes a fast-built app fail under real use.
  • A record. Who looked at a finding, what they decided and when it is due.

That is the gap an independent audit covers. vetkit reads a repository without running it and reports on security, code quality, sustainability, AI code risks and production readiness in one place, whichever tool wrote the code. It connects to coding agents through MCP, so findings come back into the conversation where the code is being written. See the MCP guide. It is in early access with a free Security Quick Scan.

How to choose

  • You do not write code and want a working app. Pick an app builder. Before sharing the link, set the visibility, run the tool’s security scan and read what it reports about your database rules.
  • You are a developer and want to move faster in your own repository. Pick a coding agent. Start in a mode that asks before running commands, and loosen it only inside a sandbox.
  • You are building something with accounts, payments or personal data. Whichever tool you use, add a review step it does not provide. The security checklist before shipping a vibe-coded app lists what to check, and Is vibe coding bad? explains what tends to go wrong.

Sources

We read the statements about each tool from its own documentation on . Feature names, plans and defaults in this area change often, and where a feature is not mentioned here it may still exist. Treat each vendor’s current pages as the final word:

Product names are trademarks of their respective owners. vetkit is not affiliated with, endorsed by or sponsored by them; names are used only to identify the tools. Spotted something out of date? Email contact@vetkit.dev and we will correct it.

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