ROVQIX provides TypeScript developers for frontend, backend and full-stack work — using strict mode, shared types across the client and server boundary, and schema validation at runtime boundaries where types alone cannot help.
TypeScript pays for itself when the type system encodes real constraints. It costs you time when it is used as documentation with `any` sprinkled through the difficult parts.
Non-negotiable
Client to server
At every boundary
Except deliberately
Strict mode with no implicit any, plus the flags most teams skip — unchecked index access and exact optional properties.
Discriminated unions for state so impossible combinations cannot be represented, instead of optional fields everywhere.
Zod or equivalent at every external boundary — types disappear at runtime, and your API responses are not guaranteed.
One source of truth for API types so a backend rename becomes a compile error, not a production incident.
Database and API types generated from schemas rather than hand-written and quietly drifting out of date.
Type-level cleverness only where it earns its complexity. Unreadable generics are a cost, not a credential.
// Weak: every combination is representable, including impossible ones
type State = {
loading: boolean;
data?: User[];
error?: string;
};
// Strong: the compiler rejects "loading with an error and data"
type State =
| { status: "loading" }
| { status: "success"; data: User[] }
| { status: "error"; error: string };The second version removes a category of bug entirely. You cannot forget to handle a case, because the compiler will not let the code through until you do.
Because types are erased at compile time. Nothing checks that an API response actually matches the interface you declared.
Usually yes, past a few thousand lines — the editor support and refactoring confidence pay for themselves quickly. For a genuinely small script it can be overhead, and we will say so.
Yes, incrementally. Both can coexist, so there is no big-bang rewrite. We type the highest-value areas first and let the rest follow the work.
Frequently, yes — or an equivalent. The important thing is one schema producing both the runtime check and the static type, so they cannot diverge.
Used sparingly. Complex conditional types can be genuinely valuable in a library API and are usually a liability in application code, where the next engineer has to read them.
Indicative ranges in USD. Every engagement is quoted to a written scope before work starts, so the number you approve is the number you pay.
$2,000 / month
20 hours per week
Best for: Ongoing capacity
$3,800 – $6,500 / month
40 hours per week
Best for: A dedicated engineer
$4,000 – $15,000
3–10 weeks
Best for: Moving JavaScript to TypeScript
How we think about this work, in more depth.
Hire developers
A 30-minute call, then a written proposal with scope, price and timeline within two to three working days. No retainer required to get a real number, and no obligation if the answer is that we are not the right fit.