Software meant to last
On a product living three years or more, most of the cost is not the first write but every change after it. Types make those changes safe.
LANGUAGE
TypeScript
The JavaScript that warns you before your users do.
TypeScript is a layer on top of JavaScript that adds a type system. In practice you describe the shape of your data — a customer has a name, an email, a list of orders — and the tool continuously checks that the code honours that contract. Mistakes surface while you type, in the editor, instead of surfacing in production in front of a customer.
What it changes day to day
- Typos and forgotten fields are flagged before the file is even saved
- Changing a data structure immediately lists every place that needs updating
- The editor suggests the right fields and docs, which speeds up the whole team
- A developer joining the project reads the types and understands the domain without guessing
Where the payoff is clearest
Teams of several people
When more than one person touches the same code, types act as a shared contract and prevent silent misunderstandings.
Complex business rules
Billing, inventory, permissions: once the rules pile up, types stop impossible combinations from travelling through the system.
When it is not the right call
TypeScript adds a build step and a learning curve. On a throwaway landing page or a three-day prototype, that investment does not pay for itself. It also will not protect you from business-logic errors: a correct type can describe a wrong rule.
Where we stand
We write all application code in TypeScript, in strict mode. That is not an aesthetic preference: it is what lets us pick a project back up a year later and change it without re-reading everything.
How we validate technical adoption
A technology is not selected for popularity. We build a small proof around the primary risk, then verify that the team can operate it. The decision accounts for the existing product, available skills, security, hosting, migration and maintenance cost over several years. We also examine the maturity of the ecosystem, upgrade paths, observability, licensing and the availability of reliable documentation. Before committing, the prototype is tested against a representative workflow and a realistic data volume. The resulting recommendation records both the reasons to adopt the component and the conditions under which it should be reconsidered. It also names the operational owner and the evidence needed for the first post-launch review.
Compatibility
The component must fit existing data, tools, languages and deployment constraints.
Maintainability
Another person must be able to understand, test and evolve the solution without relying on one author.
Measurement
Performance, errors, delivery time and operating cost are compared with a known baseline.
Exit
The strategy explains how to migrate data, replace the dependency or roll back when the context changes.
A codebase to take over or harden?
We audit your codebase and tell you what a gradual TypeScript migration would change, without a rewrite.
Request a technical auditOther pieces of the stack