The scary parts of SaaS, handled before you start
Most SaaS problems don't show up in the demo. They show up after you have customers: a double charge, a data leak, a job that died in silence. This kit exists so those problems are already handled before your first user signs up.
Gluing providers together is a weekend of work. The hard questions come later. Who is allowed to write this row? What happens when a payment message arrives twice? Can this user see that company's data?
WISEPIM Growth-OS answers those questions in code, once. One way to write data. One place where roles live. Checks you can run again next year, when you've forgotten why they matter.
The goal isn't to hide the plumbing. It's to make the important rules easy to see and hard to break by accident.
What this kit believes
These aren't slogans. Code, generators, and release checks enforce every one of them.
One source of truth
Your data lives in PostgreSQL, full stop. Every write is checked on the server first. Live updates only show users what they're allowed to see. Long jobs recover and finish, and your users can watch them run.
Nothing advertised unless it works
Implemented, scaffolded, and planned work stay clearly separate. If a feature isn't proven yet, your live site won't show it. No page here promises something the code can't do.
Each feature keeps its parts together
A feature's rules, server code, client code, and tests live side by side. When you change one piece, you can see everything it touches. No hunting across the repo.
Proof matches the promise
A green test on your laptop doesn't prove production works. Local checks, preview checks, and production checks stay separate, so a claim is never bigger than its evidence. Database changes never apply themselves either; you review and run them.
How the kit gets better
A lesson only counts if the same bug can't happen twice.
- 1
See it break
First, make the problem real. Reproduce the bug or measure the slowdown before touching anything.
- 2
Fix it at the source
The fix goes in the one place that owns the behavior, so every feature gets it at once.
- 3
Block the repeat
Add a test or an automated rule that stops the same mistake from ever landing again.
- 4
Prove it
Run the checks that match the risk, from quick local tests up to real deployment evidence.