Skip to content
BuildThenTestedSee packages
MediumDeploy and config

No automated checks before deploy

Type errors, broken imports and failing behaviour are discovered by users after deploy rather than by a machine before it, and each fix is another untested push. How code reaches production and how the server is configured. Check it yourself with the steps below; our test adds what a script and a second account can find.

What it looks like

$ ls .github/workflows
ls: .github/workflows: No such file or directory
$ grep '"test"' package.json
"test": "echo \"no tests yet\""
# host deploys on every push; nothing runs lint, type check or tests first
A repository with no CI (continuous integration, an automated check that runs on every change): nothing verifies the code before the host deploys it.

What happens

Type errors, broken imports and failing behaviour are discovered by users after deploy rather than by a machine before it, and each fix is another untested push.

Where it shows up

Descriptive, not a verdict: builders and stacks whose defaults make this reachable, or that a public incident names. Each hub states the tool's own security features.

Check it yourself

Uses your builder's dashboard and your browser. No tools to install.

  1. Open the project's GitHub repository; if the builder has a GitHub sync, connect it first so the code is visible there.
  2. Click the Actions tab at the top of the repository.
  3. Look for a workflow that runs on each push or pull request and shows a green or red result next to recent commits.
  4. Bad result: the Actions tab is empty, or every run is a deployment only, with no lint, type check or test step anywhere.

What we check

We run the project's type check, lint and any existing tests on a clean machine and record what fails on the current main branch. We also check whether the host would still deploy a build that fails those checks.

Fix direction

Add one workflow file under .github/workflows that installs dependencies and runs the type check, lint and tests on every push and pull request. Make it a required check before merging to the production branch. Start with what already exists; a red check that stops a broken release is the whole point.

Mechanism documented in: Quickstart for GitHub Actions (verified 2026-09-21); Sync your Lovable project with GitHub (verified 2026-09-21).

Covered by

Pre-launch check ($490, 48 hours) and Full audit ($1,900, 5 business days)

Both include a re-check after your fixes.

Compare packages

Related patterns

  • Every change goes straight to productionDeploy and config

    A broken build, a bad migration or an agent's misjudged edit reaches real users and real data first, with no place where it could have been caught.

    Medium
  • Dependencies with known vulnerabilitiesDeploy and config

    A published advisory is a public instruction sheet, so an attacker does not need to find a flaw in your code; they only need to know which library version you run.

    High
  • Debug mode left on in productionDeploy and config

    Anyone who causes an error sees file paths, query text and sometimes environment values, and dev-only shortcuts such as skipped checks or seeded test users stay active for real visitors.

    Medium
  • Missing security headersDeploy and config

    Without these headers a browser will happily load the app inside someone else's page, over plain HTTP, or with injected scripts, which turns an otherwise small bug into a working attack.

    Medium

Questions

what is ci in software development

CI, continuous integration, means a machine runs a fixed set of checks on every change to the code, such as compiling, linting and tests. It reports pass or fail before the change is merged or deployed. GitHub Actions is one common way to do it: a small YAML file in .github/workflows describes the steps and GitHub runs them on each push.

does lovable have automated testing

Lovable's docs describe publishing as deploying a snapshot of your project and a two-way sync with a GitHub repository, so your code lives in a normal repository you control. Automated checks are something you add on that repository, for example a GitHub Actions workflow that runs the build and tests. Check the Actions tab of the synced repository to see whether anything runs today.

how do i add github actions to my project

Create a file such as .github/workflows/ci.yml in the repository with a trigger of on: [push, pull_request] and steps that check out the code, install dependencies, and run your type check, lint and tests. GitHub's quickstart walks through the file and where to see the results. Then mark the workflow as a required check on the production branch.

Back to the catalogue, or run the self-check for your stack.