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LaunchPulse combines the speed of vibe coding with guardrails that catch a lot of problems before they hit production:

Advanced QA testing

Every build runs through a browser agent that simulates user interactions and catches functional issues before you publish.

Secure architecture

Projects use trusted hosting and database platforms. Roles and permissions are baked in, reducing the need to roll your own auth from scratch.

Transparent iterations

Each chat iteration preserves state and shows a diff, so you can see what changed and revert if needed.

Scalable infrastructure

Databases and hosting are designed to grow with your user base, so you can focus on fixing product issues — not servers.
Even with these guardrails, AI doesn’t eliminate bugs or misalignment entirely.
You’ll still need to validate flows, review changes, and handle edge cases.
Have a live issue right now?
Open your project, reproduce the bug, and start a new troubleshooting iteration.

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Quick triage: what’s going wrong?

Most issues fall into a few buckets:

Functionality bugs

Features not working as expected, broken forms, navigation errors, or flows that get stuck.

Performance problems

Slow pages, high memory usage, long loading spinners, or timeouts.

Integration failures

External APIs failing, webhooks not firing, or data not being saved/loaded correctly.

Security concerns

Secrets exposed, improper access control, or unexpected behaviours around permissions and auth.

Design & UX issues

Cluttered layouts, confusing flows, or inconsistent styling that makes the product hard to use.

“Something feels off”

The app technically works, but the flow doesn’t match your intent or users get lost.

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Step-by-step troubleshooting flow

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1. Reproduce the issue

Use LaunchPulse’s preview or staging environment to replicate the problem.
  • Follow the same steps your users took.
  • Note the exact page, action, and any error message.
  • Let the browser agent run the flow as well — it can surface hidden console errors and crashes.
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2. Inspect logs & errors

Check what the app is telling you:
  • Look at browser console errors for missing dependencies, invalid inputs, or failed network requests.
  • Review server logs (if available) around the time of the failure.
  • Capture screenshots or copy error messages for later.
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3. Iterate with a clear prompt

Turn what you found into a precise iteration request:
  • Describe the bug and expected behaviour:
    “Users cannot reset their password; an error appears after submitting the form.”
  • Mention the affected page/flow and any error text.
  • Ask the agent to regenerate or patch the relevant logic, not the whole app.
The agent can then update code, flows, or validation to address the specific issue.
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4. Request refactors for messy areas

If the problem is maintainability or complexity:
  • Ask for a targeted refactor, e.g.
    “Refactor the user registration flow to improve error handling and make the code easier to extend.”
  • Focus on one module or flow at a time.
Refactors help reduce follow-up bugs and make future iterations smoother.
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5. Edit manually when necessary

If repeated AI attempts don’t fully resolve the issue:
  • Open the code editor and adjust code manually.
  • Pair with a developer for tricky edge cases or advanced integrations.
  • Use the agent as a helper (for suggestions and explanations), not the final authority.
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6. Re-test end-to-end

Once changes are in place:
  • Re-run the browser QA agent to walk through the affected flows.
  • Manually test the same scenarios users experienced.
  • Confirm the fix didn’t introduce regressions elsewhere.

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Troubleshooting by issue type

Common symptoms:
  • Buttons that don’t do anything.
  • Forms that never submit or always error.
  • Navigation that loops or sends users to the wrong page.
How to approach
  • Reproduce the exact flow step by step.
  • Inspect form validation, required fields, and API responses.
  • Use a clear iteration prompt:
    “Fix the profile update form so it saves changes and shows a success message.”
Common symptoms:
  • Slow initial page loads.
  • Pages that freeze on heavy operations.
  • Timeouts on API calls.
How to approach
  • Check network requests for large payloads or repeated calls.
  • Ask the agent to optimise specific areas:
    “Optimise the dashboard data fetching and add loading states so it doesn’t block the UI.”
  • Consider pagination, caching, or background jobs for heavy tasks.
Common symptoms:
  • Data not syncing with external services.
  • Webhooks not firing or being rejected.
  • 4xx/5xx errors from third-party APIs.
How to approach
  • Verify the external service is reachable and properly configured.
  • Double-check API keys and environment variables (never paste them into prompts).
  • Ask the agent to log request/response details (without logging secrets) for easier debugging.
  • For unsupported integrations, you may need custom code or middleware.
Common symptoms:
  • Users seeing data they shouldn’t.
  • Admin-only actions available to regular users.
  • Secrets appearing in logs or code.
How to approach
  • Ensure all secrets are stored in environment variables, not hard-coded.
  • Re-check roles and permissions in your auth layer.
  • Ask the agent explicitly:
    “Review access control for the admin dashboard and lock it down to admin users only.”
  • For high-stakes apps, integrate static analysis (SAST) or an external security scanner.
Common symptoms:
  • Users get lost in the flow.
  • Layout feels cluttered or inconsistent.
  • Important actions are hidden or unclear.
How to approach
  • Identify the specific screens that feel heavy or confusing.
  • Prompt the agent to simplify:
    “Simplify the onboarding flow to 3 clear steps and remove unnecessary fields.”
  • Focus on a smaller number of high-value actions per screen.

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Best practices to avoid recurring issues

Prompt clearly & iteratively

Break complex tasks into smaller steps. Provide concrete requirements, examples, and constraints instead of vague instructions.

Treat AI like a junior dev

Generated code is powerful, but you should still review it, run tests, and make sure it matches your standards.

Test early & often

Use staging/preview environments to exercise key flows before pushing changes to production.

Protect secrets

Never paste API keys or credentials into prompts. Configure them through environment settings and keep them out of logs.

Document & version

Keep track of what each iteration changes. Use diffs and history to roll back if a change introduces new problems.

Design with constraints

Ask for simpler flows and fewer steps when in doubt — complexity breeds bugs and UX issues.

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When to contact support

Sometimes the fastest path is to bring in a human.
If you’re blocked by something that doesn’t make sense, reach out with:
  • A short description of the issue.
  • The URL or name of the affected project.
  • Any error messages or logs you’ve captured.
  • The last prompt/iteration that preceded the issue.
This context helps support (and future you) pinpoint what’s going on.

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Keep the speed, keep the quality

Vibe coding unlocks rapid prototyping and removes a lot of boilerplate — but it also introduces risks like:
  • Security vulnerabilities
  • Maintainability challenges
  • Debugging complexity
  • Limited integrations
  • UX/design pitfalls
LaunchPulse is built to offset those risks with:
  • Secure infrastructure
  • Automated testing and QA agents
  • Built-in roles and permissions
  • Transparent, diffable iterations
Open your project, run through a key user flow, and start a troubleshooting iteration.
The more you pair LaunchPulse’s speed with these practices, the more “AI-built” will still feel “production-grade”.