Built a SaaS product, website or MVP with AI assistance, an outsourcing team or internal development, but not sure whether it is actually safe to launch?
Snowsy reviews the code, database, auth and permissions, deployment, backups and production setup, then organizes the findings by risk priority.
Local development works, but production keeps breaking
Registration or login fails sometimes
Payment flow feels unreliable
Nobody wants to touch the database
There is no staging environment
Backups are unclear
API keys and passwords are scattered around
The original developer has left
AI generated a lot of code, but nobody can judge the real risk
New features are becoming harder to add
Start with the business goal, system status, major risks and the issue that is blocking progress most right now.
Separate what needs immediate attention from what can wait so the project does not lose focus.
Handle the highest-value review, remediation or development work first so each step can be validated.
Summarize findings, deliverables and recommended next actions so the project can keep moving in a controlled way.
No. The useful part is the prioritization and the suggested next steps so the team can decide what to fix first and what can wait.
Yes. Many teams start with the health check and then move into remediation, takeover or ongoing support based on the findings.
Usually yes. If the key code, environment or deployment context is available, the main risks can often still be identified from the current state.
Best for projects where the original builder has left or the system is becoming increasingly hard to maintain.
Rebuild a maintainable development, testing and deployment workflow from the existing codebase and production environment.
Best for teams with clear business needs that now require software built for long-term use.
Build SaaS products, internal systems, client portals, automation tools, APIs and web applications.
Best for teams that do not need a full-time engineering team but do need reliable ongoing technical support.
Handle iterations, bugs, deployment issues, technical debt and smaller feature work for live software.
Starting with a health check is often safer than jumping straight into a rewrite or random new features.
