Ship a typed product, end-to-end.
A defined product, a fixed price, a senior-only team. From RFC to launch in 8–14 weeks.
$15k–$30k
FIXED SCOPE
- Senior engineers only
- Fixed quote in week 1
- Code, infra, runbook — yours
We don't add TypeScript as an afterthought. Ten years of strict TypeScript in production — API contracts that don't drift, refactors that land in hours not weeks, codebases where a new engineer is productive on day two instead of month two. The compiler doing the boring half of code review is not a nice-to-have. It's the whole point.
Why Entalogics for TypeScript
Most teams turn on TypeScript and keep writing JavaScript with type annotations. That's not TypeScript — that's any with extra steps. We bring the discipline that makes the compiler your best engineer, not your most ignored one.
TypeScript's value is proportional to how strictly you use it. Strict mode, noUncheckedIndexedAccess, exactOptionalPropertyTypes — the flags most teams quietly disable. We enable them from day one and let the compiler surface the bugs before they reach production.
Schema drift is how bugs sneak in — the API returns a string, the frontend expects a number, nobody notices until a customer calls. We pull a single source of truth: Drizzle or Prisma generates the DB types, Zod owns the API boundary, and tRPC or generated GraphQL types carry that contract to the UI. No manual syncing. No surprises.
Discriminated unions over boolean flags. Result types over thrown exceptions. State machines over isLoading && !isError && data !== null. TypeScript's type system is strong enough to make illegal states unrepresentable — most codebases leave that power entirely on the table.
The real test of TypeScript is what happens eighteen months in when a product requirement changes a core type. If tsc --noEmit catches every downstream break in five seconds, you're doing it right. If your team is afraid to rename a field, you're not using TypeScript — you're using a typing system held together with as casts.
When TypeScript, when not
An honest decision matrix. We'll tell you on the first call whether stricter TypeScript is your actual problem — or whether something else is blocking your team.
USE STRICT TYPESCRIPT WHEN
CONSIDER LOOSENING WHEN
WE SAY NO WHEN
What we build with TypeScript
The shapes of TypeScript work we ship most often. Each integrates cleanly with your existing stack if you already have one.
End-to-end type safety from Drizzle schema to Next.js App Router. One contract. No API drift. No runtime surprises on the happy path or the error path.
Hono or Fastify with typed request/response contracts, Zod middleware validation, and generated OpenAPI docs as a byproduct — not a separate document nobody keeps up to date.
A shared @company/types package that every frontend and backend team imports from. Turborepo or Nx. One place where the schema lives. Consumers get type errors — not runtime surprises in production.
JavaScript to TypeScript, any-ridden TypeScript to strict TypeScript. File by file, no flag-day. The team keeps shipping while we tighten the types underneath them.
Typed Node.js scripts, internal CLIs, data pipelines. The tooling that runs your business but nobody ever allocated time to do properly.
Component prop types that encode design decisions — not just string. Variant maps, token types, polymorphic component generics. Props that make wrong usage a compile error.
The playbook
The TypeScript patterns that show up on almost every engagement. Not invention — convention, applied with precision.
P01
strict: true plus the flags most teams skip. The short-term pain of fixing the compiler's complaints is smaller than the long-term pain of a codebase where any is load-bearing.
P02
Runtime validation where untrusted data enters — API responses, form inputs, environment variables, query parameters. Zod schemas become the types. No manual syncing. No drift between what you expect and what you get.
P03
{ status: 'loading' } | { status: 'error'; error: Error } | { status: 'success'; data: T } instead of isLoading, isError, and data all independently nullable. Illegal states become unrepresentable at the type level.
P04
tRPC for full-stack TypeScript. Generated types from GraphQL or OpenAPI when crossing a third-party boundary. The API contract is checked at compile time, not discovered at runtime by a user on a Tuesday.
P05
Vitest with strict type assertions. No as any in test setup. If the test can't be written without casting, the type design has a problem — and we'd rather find it in the test than in production.
P06
allowJs: true, checkJs: true, file-by-file strict adoption. The TypeScript compiler is surprisingly good at migrating large JavaScript codebases without a rewrite. We've done this enough to know where the shortcuts that don't work are.
Signature case
A B2B payments platform with 120,000 lines of TypeScript — technically. In practice: any cast at every API boundary, no runtime validation, three separate type definitions for Transaction that had quietly diverged. A data bug was causing incorrect invoice amounts for 2% of transactions and nobody could trace it because the types were lying. We audited, consolidated, and enforced strict types across the stack in 8 weeks. Without a feature freeze.
Before
847 any casts · 3 conflicting Transaction types · 0 API boundary validation · 2% invoice error rate
After
0 any in product code · single TransactionSchema (Zod) · full API validation · invoice errors resolved
Engagement shape
A typical TypeScript engagement, end-to-end. We tighten the types incrementally — never flag-day. The current product keeps shipping while we work.
Two senior engineers across the codebase. any inventory, boundary validation gaps, divergent type definitions, compiler flag audit. You leave week one with a ranked RFC and a clear map of where the types are lying to you.
Strict mode enabled, Zod at the highest-risk API boundary, one core domain type consolidated end-to-end. Real compiler coverage in your CI, not a local demo.
Surface by surface, under feature flags where needed. Old untyped code and new strict code coexist. Your roadmap keeps moving — we don't ask for a freeze to fix your types.
Delete the any scaffolding. Type library documented. Vitest coverage on critical paths. Runbook handed to your team — or we stay on retainer and keep the type safety compounding.
Stack
Picked by problem, not by resume. Happy to slot into your stack — but greenfield, this is the default.
Engagement
No hourly retainer that bills for "thinking time." Pick a lane that matches your stage; everything is fixed-quote or transparently rated.
A defined product, a fixed price, a senior-only team. From RFC to launch in 8–14 weeks.
$15k–$30k
FIXED SCOPE
Embedded engineers in your Slack, your Linear, your standups. A scaled pod of senior TypeScript engineers, augmenting your team. Pause, resize, end with 30 days' notice.
$5k / eng / mo
PER ENGINEER
A long-term partner for product orgs that need both delivery and judgement — type system design, migration program, hiring help.
custom
PROCUREMENT-FRIENDLY
Founder-direct
Thirty minutes with the founder. We'll bring a senior TypeScript engineer, the relevant playbook, and a candid read on whether strict types are the actual problem — or a symptom of something upstream.