Should I vibe code
Configure records, views, automations, and dashboards for one team
Your permission model lives in the form. The salary field is missing from the UI and present in the JSON.
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Their verdict, the Team price and the build-time estimate come from their entry, MIT-licensed. Checked 2026-08-04.
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Our verdict, the regret score and everything below it. Editorial and unsponsored — nobody can pay to be moved.
The honest answer
why the verdict is what it is
Several no-code database entries on this site argue about the grid. This one is not about the grid. Read SmartSuite's own solution pages instead — GRC and compliance, audit, third-party risk, service desk, incident response, people operations, hiring — and then read what it puts beside them: SOC 2 Type II, ISO 27001, HIPAA, role-based permissions, audit trails, centralised administration. For the buyer it is aimed at, those are not features bolted onto a spreadsheet; they are the product, and the grid is how it gets delivered. That gives the homemade version an awkward shape. In a fortnight you will have the visible half — records, field types, views, forms, dashboards, an automation builder — and none of the half anyone is paying for. A permission model enforced where the fields are rendered rather than where the rows are fetched is indistinguishable from one that works, until an internal audit asks who could see the compensation field in March and the answer is a form config that has been edited nine times with no history. Meanwhile the automations you wired up on the fun afternoon are firing, unattended, on records about employees.
What actually breaks
not "if". the specific failures.
- Field-level permissions, which a generated app enforces in the component that draws the input rather than in the query that fetched the row — so the salary column is absent from the form and present in the response
- Automations that trigger one another. A rule whose action satisfies another rule's condition is a loop, and the loop's output is email to real people
- The audit trail. An updated_at column tells you when; the question actually asked is who, what the value was before, and whether the record of that could itself have been edited
- Changing a field type on live data — text to single-select silently drops every value that does not match an option, on rows nobody was looking at
- Deletes, because in a work OS a record is a job somebody is halfway through, and the delete comes from a grid that has no soft delete and no restore
- Public forms, which are an unauthenticated write endpoint straight into the table your team works from, discovered by bots within a week
- The dashboard number a manager repeats in a meeting, produced by an aggregation nobody has ever reviewed and quietly wrong since the filter changed
The ops lead edits one automation on a Friday afternoon: the rule that moves a hiring record to "awaiting decision" should now also email the candidate. While she is in there she changes the trigger from a status field to a date field, because that reads better. The new condition matches every record whose date is in the past, which is all of them. The action updates a field on each record, and updating a field is itself a trigger, so it runs again. By Saturday morning nine hundred candidates — including the ones rejected two years ago, whose records nobody thought of as live — have somewhere between one and forty emails from your careers address, and the recruiting team's inboxes hold twelve thousand notifications. None of it can be recalled. Nothing can tell you which candidate received which message, because you stored an updated_at timestamp and called it an audit trail, and the per-run record ceiling was on a ticket labelled later.
Is that you?
the verdict is a default, not a law
- One team, all trusted with everything in it, and nothing in it is about a person's employment
- It is a view over data whose real home is somewhere with its own history and backups
- Automations only notify inside the team — they do not write records and they do not send anything outward
- You could rebuild the entire thing from a CSV export tomorrow and lose nothing but an afternoon
- It holds HR, candidate, incident, vendor-risk or compliance records
- Some fields are meant to be visible to some colleagues and not others
- Anyone might one day ask what a record said on a particular date and expect a defensible answer
- Automations can email or message people outside the workspace
- The reason it exists is that a certification is coming up and this seemed faster
If you build it anyway
the checklist, then the prompt that enforces it
- Build the audit table before the first editable field: actor, timestamp, record, field, before, after — written in the same transaction as the change, and append-only.
- Enforce permissions in the query, never in the component. Field visibility is a server-side allowlist per role, and there is a test that fetches the same record as each role and asserts the payload differs.
- Give every automation a dry run, a per-execution record ceiling, and a global kill switch reachable without a deploy.
- Add a loop guard: an automation must not re-trigger on writes it caused. Track the originating run and refuse.
- Anything that sends outside the workspace goes through an outbox with a delay a human can use to stop it. Email is the only part of this that cannot be rolled back.
- Deletes are soft, restores are rehearsed, and field-type migrations run against a copy with a diff you read before applying to live data.
- Public forms get a field allowlist, a rate limit and a spam check, and they write to a staging table rather than the working one.
- Export nightly to plain CSV or SQL that needs none of your code to read. If your app is the only thing that can open the company's operating record, that is the risk, not the bugs.
I am building an internal work-management database: records, views, forms,
dashboards and automations. Treat it as a system of record about people and
obligations, not a spreadsheet. Argue with me when I ask to skip a step.
1. Order is fixed: audit log, permissions, read-only views, editing, then
automations. Do not start with the automation builder however well it demos.
2. The audit log is append-only — actor, time, record, field, before, after —
written in the same transaction as the mutation. No path may skip it.
3. Authorisation happens in the query. Roles map to a server-side allowlist of
tables and fields, and the API must never return a field the role cannot
see even when the UI would hide it. Test it by fetching one record as each
role and asserting the payloads differ.
4. Deletes are soft. Build the restore path and make me use it once before you
build the delete button.
5. Field-type changes are migrations: dry run, diff, confirm, reversible. A
text-to-select change that would drop values must fail, not coerce.
6. Automations need a dry run, a records-per-run ceiling, and a kill switch
that works without a deploy. Refuse above the ceiling; never truncate.
7. Add a loop guard: tag writes with the run that caused them and refuse to
re-trigger on your own output. Build the guard before the trigger UI.
8. Anything emailing outside the workspace goes to a delayed outbox a human
can cancel. Sending is the only irreversible operation here.
9. Public forms write to a staging table, accept allowlisted fields only, and
are rate limited.
10. Nightly export to plain CSV or SQL that does not need this app to read,
with restore instructions in the README.
11. Out of scope, and say so rather than gesturing: SSO, SCIM, retention
policies, and anything I could show an auditor. If I need those,
SmartSuite is $20 a seat with the certifications attached.That one keeps you out of trouble. For the prompt that actually builds it, canivibecodeit.com has one.
their build prompt ↗Or don’t build it
the boring option, and the way back out
The moment the data is about employees, candidates, incidents or controls — which, given who SmartSuite sells to, is most of the time. $20 a seat a month buys a permission model that is enforced server-side, a record history that predates your interest in the question, and the certifications a customer's security review will ask for. None of those three are things a good weekend produces, and the first time you need them you will need them urgently.
$20/mo is cheaper than your weekend.
Assume from day one that this becomes the record of how a team operates, because that is what happens to tools like this when they work. Nightly export in a format nothing of yours is needed to read, the audit log shipped somewhere append-only and outside the application, and a written note of which questions the dashboards answer so somebody can answer them in SQL later. The honest test is to switch it off for a day: if a hiring decision, an incident or an invoice stalls, you are no longer running a side project and the exit needs to be somebody else's product with an import path.
Open-source no-code database with the roles, shared-view controls and audit log already written.
Airtable-shaped interface over real Postgres, self-hostable, with permissions expressed against the database rather than the view.
Questions
Why is this harsher than the Airtable and Baserow entries?
Those two are rated as tools you point at your own data, where the worst case is a base you can restore. SmartSuite is sold as a work OS for GRC, IT and HR, and its buyers use it as the place a control was recorded as tested and a candidate was recorded as rejected. Once that is what the app is for, the permission model and the record history stop being nice-to-haves and become the thing being purchased — and they are precisely what a generated app fakes convincingly.
What will an agent get wrong that I would not?
Two things, reliably. It will implement roles by conditionally rendering fields, because that is where roles are visible in the code, and the API will keep returning everything. And it will build the automation engine without a loop guard or a record ceiling, because neither is needed for the demo and both only matter on the run that touches nine hundred rows.
Is there a safe version of this project?
Yes, and it is genuinely useful: read-only views and dashboards over data that lives somewhere else, with export. You keep the part people actually asked for — being able to see and filter the thing — and you never acquire the obligations that come with being the only copy. Add writes later, one field at a time, once the audit log exists.
- GDPR Art. 5 — principles relating to processing of personal data (EU)
- GDPR Art. 32 — security of processing (EU)
Every week, someone ships something they shouldn’t have.
New verdicts, the worst thing that landed in the trap, and the occasional incident report. No other email, ever.
Softr and NocoDB sit on a database that outlives them. Knack is the database. There is no other copy.
An agent will happily hand you a spreadsheet with UPDATE on production. Postgres has no undo button.
A spreadsheet with types is easy. A spreadsheet with types that a team edits at once is not.
last reviewed 2026-08-05 · verdict is editorial and unsponsored · shared entry data from canivibecodeit under MIT · not legal advice