01
Start with what you have
Drop in the code dump.
Give noSwag a repository, an AI-generated bundle, or the API context you have. A perfect spec is optional.
Your app was built in a sprint.Now make it trustworthy.
noSwag is the agentic test generator for vibe-coded apps and AI-generated code dumps. Point it at your repo, recover what the app is meant to do, and get reviewable tests before the next prompt ships to production.
Code dump or repoRecover user flowsRepo-native testsPreview before write
Example agent run / ready
A test plan for the code you actually have.
Every risky flow has a path, an assertion, a checksum, and a reason to exist.
01Read
the code
02Find
user flows
03Assert
behavior
04Ship
with CI
Generated output stays reviewable, checksum-aware, and ready for your repository.
Less AI-code anxiety
Turn the code dump into confidence.
Vibe-coded apps move fast. The agent maps the behavior hiding inside the code, then gives you evidence you can read, edit, and keep.
“The output should look like it belongs in your repository.”
02
Agentic code reading
Recover the app’s intent.
The agent traces routes, handlers, data paths, UI/API boundaries, and package conventions to understand what your app is supposed to do.
03
Review before write
See what the agent believes.
Inspect mapped flows, assumptions, skipped cases, target files, and checksums before anything touches your branch.
04
Built for shipping
Tests where your code lives.
Get repository-native pytest or Vitest files that fit the project you actually generated—not a separate collection to maintain.
05
Coverage with context
Find the cracks in the happy path.
Generate meaningful assertions around validation, auth, errors, boundaries, and the behavior your AI-generated code forgot to prove.
06
Safety by default
Fail closed when unsure.
Protected paths, unresolved intent, stale checksums, and unsupported targets become a clear no-safe-test decision.
Agentic test generation
From code dump to pull-request-ready tests in three deliberate steps.
No clean spec required. No black-box execution. Just an agentic pass over your code and a reviewable artifact you can own.
01
Bring the code
Connect a repository or paste the output from your AI coding tool. OpenAPI can help, but it is not required.
02
Let the agent map behavior
noSwag traces routes, inputs, state, auth, side effects, and the user flows your code is trying to create.
03
Review and ship
Inspect the artifact, edit what you need, then download tests that belong in your own CI workflow.
See the agent’s handoff
The output is a file, not a promise.
Open the generated code, understand every inferred flow, and make the final call before it reaches your repository.
- User-flow and API coverage
- Meaningful behavior assertions
- Checksums and protected-path safety
- Downloadable repository-native files
Live agentic flow/Real product states
Watch the code become confidence.
The agent moves from context to mapped behavior to a file your team can inspect. No decorative mockup. No blind write.
01 of 03 active
noSwag workspaceContext in
Captured from the live app
Context in01 / 03
Give the agent the code it can trust.
Start with a repository, an AI-generated code dump, or a spec. Keep the source visible before the agent starts mapping behavior.
What the agent knows now
Context bounded
Source preserved
No write yet
The agent starts from your source of truth.
Run it where you work
One agent. Three ways to ship the confidence.
Use the surface that matches the moment: explore in the dashboard, generate from a terminal, or make test generation part of every pull request.
01 / Visual review
Start in the dashboard
Bring an OpenAPI or Swagger spec, inspect the generation state and artifact, and approve the output before it leaves the workspace.
- Preview before write
- Inspect assumptions
- Download the artifact
02 / Local or CI
Run the CLI in your repo
Use the Python or Node CLI to package bounded Git context, generate tests, and apply checksum-guarded changes where you work.
- noswag gentest
- Dry-run by default
- Write only with approval
03 / Pull request flow
Put it in GitHub Actions
Let every eligible change request a test plan or patch, with fork safety and explicit write controls built into the action.
- report, patch, or write
- Forks skip before API calls
- Optional guarded verification
Answers for AI-built apps
Questions to ask before you trust the code.
Clear boundaries matter when generated code starts looking production-ready.
Make your AI-built app safer
Turn the code dump into a test suite you can trust.
Give the agent your context, review what it found, then run it from the dashboard, CLI, or every pull request.
Give the agent contextPreview before writeOwn the output