Public · Configurable booking platform
Booking
A multi-vertical booking platform that models appointments, capacity and stays as related scheduling contracts, with auditability, supply-chain security and engineering evidence built into the foundation.
- Niche
- Reusable booking with domain-specific rules
- Core stack
- TypeScript · web applications · verifiable CI
- Models
- Appointments · capacity · stays
- Focus
- Strict rules · auditability · configuration
System view
The study
Barbers, clinics, restaurants and hotels share the concept of booking while operating under distinct rules.
The platform reuses scheduling infrastructure while preserving the specific model for a one-person appointment, a capacity-limited table and a multi-night stay.
System structure
Business variability is expressed through explicit models and configuration.
Appointment, capacity and stay models can enforce different duration, availability and occupancy rules.
Presets provide a recognizable starting point and share core infrastructure across sectors.
Control registries, CODEOWNERS, security policy and retained evidence make engineering decisions auditable.
CodeQL, SHA-pinned actions, CycloneDX SBOMs and provenance manifests form a regular evidence trail for the workspace.
Product and interaction design
Configuration preserves the differences that make each business model valid.
The design separates the user-facing questions—what resource, when, for how many people and for how long—from the internal rules that determine whether a reservation is valid. The interface stays concise while domain rules remain explicit.
Configuration, operations and audit evidence are designed as understandable surfaces for operators and developers alike.
Development approach
The domain model is treated like a design sketch: something to challenge with real scenarios before turning it into reusable infrastructure.
Rules are checked deterministically and the repository preserves evidence about how each artifact was built. The foundation can grow toward transactional persistence and administration while preserving traceability.
A barber appointment, a restaurant table and a hotel stay act as concrete tests of the same platform. Abstractions begin locally and enter the shared core once they serve multiple verticals. Governance, security checks and retained evidence continuously verify the generalized behavior.
The working cycle is scenario → prototype → validate → generalize. It supports efficient exploration of unusual business rules while the shared platform stays coherent.