FiftyFive rebuilt the engineering foundations of a SaaS analytics platform serving food and beverage businesses. The team standardised the codebase, introduced type-safe validation and routing, and resolved production-critical defects in discount and ad modules, increasing feature-delivery speed by 35% and reducing production issues by 40%.
Build Your Platform With UsThe client provides SaaS-based analytics and intelligence platforms for food and beverage businesses. After securing funding, it engaged FiftyFive for a dedicated engineering team to restructure the codebase, resolve production-critical issues, and deliver new features on a maintainable foundation.
The platform had accumulated structural debt through rapid development. Inconsistent conventions, ageing validation, manual API handling, untyped routing, and unresolved defects were slowing releases and limiting product growth.
FiftyFive provided a dedicated Agile engineering team that addressed the structural causes behind defects while continuing feature delivery. The team reorganised the codebase, centralised validation with Zod, implemented TanStack Query and Router, resolved production issues, and embedded QA throughout delivery.
FiftyFive reorganised the platform into predictable folder structures and applied consistent coding conventions.
FiftyFive replaced scattered validation logic with centralised, schema-based, type-safe validation.
FiftyFive integrated TanStack Query to replace manual data-fetching and server-state patterns.
FiftyFive implemented TanStack Router to add type safety and structure to platform navigation.
FiftyFive resolved production-critical issues while delivering new modules on the restructured foundation.
FiftyFive combined frontend engineering, architecture, and QA in one team working through rapid Agile iterations.
Team
The engagement produced a maintainable SaaS platform with modern engineering foundations. Feature delivery accelerated, production defects fell, and the client gained greater confidence in go-to-market releases.
Modern engineering foundations improved feature-delivery speed by 35%, supporting faster go-to-market releases.
Codebase restructuring, embedded QA, and type-safe validation reduced production issues by 40%.
Centralised Zod validation and type-safe TanStack routing improved consistency and reduced routing defects.
TanStack Query improved server-state handling and reduced redundant data requests across the platform.
RestaurantTech development covers digital platforms for food and beverage businesses, including analytics dashboards, ordering systems, promotion tools, and marketing-intelligence products used across hospitality operations.
Fixing SaaS technical debt begins with consistent code structure, centralised validation, type-safe routing, reliable API-state management, and embedded QA that addresses structural causes instead of isolated defects.
Inconsistent folder structures, duplicated validation, manual data handling, and untyped routing make changes riskier and harder to test, slowing feature delivery as a SaaS product grows.
Zod is a TypeScript-first schema-validation library. It centralises validation rules, aligns schemas with application types, removes duplicated logic, and catches data errors before production.
TanStack Query manages server state, including data fetching, caching, background updates, synchronisation, loading states, and errors, while reducing redundant API requests in frontend applications.
TanStack Router provides type-safe, file-based routing for React applications, validates routes and parameters during development, and simplifies the addition of new screens and user flows.
Incremental restructuring is often lower risk when a product has active users. Weak foundations can be replaced while feature development continues, avoiding the disruption of a full rewrite.
Reducing bugs requires embedded QA, type-safe validation, consistent coding patterns, and structured routing rather than relying only on testing at the end of a release cycle.
A dedicated development team combines engineers, architects, and QA specialists assigned to one product, providing consistent delivery capacity and close collaboration through Agile iterations.
MarTech platforms provide analytics and intelligence on customer behaviour, promotions, discounts, advertising, and campaign performance for food and beverage businesses.
Cost depends on codebase size, defect volume, architecture changes, technology migrations, and whether active feature delivery continues alongside the restructuring work.
Timelines depend on scope and affected modules. Incremental restructuring through Agile iterations lets improvements ship progressively while ongoing product development continues.
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