The quality of a web product depends on how well business understanding, architecture, user experience and operations work together. Tools are selected within this framework so the product meets today’s needs while remaining maintainable and ready for future development.
Along the way, we define the scope and acceptance criteria, assess technical decisions against project constraints, and develop the product in stages that can be reviewed.
Development progresses through clearly defined deliverables so decisions, progress and product quality can be reviewed. Depending on the project, these stages repeat in shorter cycles, with feedback from each release informing the next development plan.
We review the product goals, user roles, workflows and connections to existing systems. Functional requirements and quality, security and capacity requirements are prioritised.
Initial scope, feature priorities and acceptance criteria.
We design software boundaries, data structures, information exchange and infrastructure requirements. Technology is selected with complexity, constraints and maintenance costs in mind.
An architecture plan, a data model and the reasoning behind technical decisions.
We design the main user journeys, page structures and form behaviour. Before full development, key flows are reviewed and refined using wireframes or prototypes.
UX/UI designs and patterns for key interactions.
Business logic, the UI and connections to other services are implemented in stages. Changes are managed through version control, and completed components are reviewed.
Working releases for review and feedback.
We test business scenarios, access permissions and interactions between components. Security and performance testing is carried out according to project risk, and results are assessed against the acceptance criteria.
Test reports, fixes for identified issues and the acceptance outcome.
We prepare the runtime environment and plan the release. Where needed, we migrate data and train users, then hand over the agreed access and documentation.
A production release and the information needed for operation and maintenance.
In custom software, architecture takes shape around the project’s real processes and constraints. Workflows, business rules, access boundaries and dependencies on other systems guide backend design. Languages and frameworks are selected once these needs are clear.
Software components have clear responsibilities and boundaries so a change to one feature does not create uncontrolled dependencies. A modular monolith or distributed structure is selected according to the requirements.
The database type is selected according to data relationships, transaction requirements, read and write patterns, and information volume. Integrity rules, access controls and the approach to schema changes are also considered in the design.
We define API contracts, authentication, data validation and error handling for external service connections. Dependencies and application behaviour during other service outages are reviewed.
For example, PHP, Laravel and a relational database such as PostgreSQL may suit some projects, while another project may call for a different combination. The final choice considers fit with requirements, tool maintenance status, the expertise needed and operating costs.
Established solutions and reputable libraries are evaluated before new development begins. When a reliable option is available, we use it. Custom functionality is designed for requirements that existing tools cannot adequately meet.
In web products, the UI should make workflows clear and tasks achievable. Information architecture, frequent user journeys, form validation, and loading, error and operation-result states are considered before visual details.
Consistent components and behaviour make future page development more structured. Responsive layouts, keyboard access, and RTL and LTR compatibility are also considered during design and testing.
The type of interaction, the amount of state to manage and the need for live backend communication guide the frontend structure. Tools such as JavaScript, React and Vue are evaluated on that basis.
Forms, tables, messages and navigation components follow shared rules so the user experience remains predictable across the product.
Language paths, translated content, text direction, date and number formats, and form behaviour are reviewed for each language. Multilingual support is built into the product structure from the design stage.
Software delivery includes preparing a runnable release. Test and production environments are kept separate, and deployment is planned around availability requirements, data migration and the ability to roll back to a previous version.
Hosting, VPS or cloud infrastructure is selected according to workload, data constraints, cost and maintenance requirements. Where appropriate, Docker is used to package the application and reduce differences between environments, while CI/CD automates testing and deployment.
We review environment configuration, secrets, HTTPS and access permissions. For database schema changes, migration compatibility with application versions and recovery options are considered.
Logging, monitoring and alerts are defined according to the requirements. Backup plans include recovery testing, because having a backup file is not enough to establish that recovery will work.
Agreed access and documentation are handed over. Each product includes six months of support from final handover to fix bugs in the agreed functionality. New features are developed under a separate agreement.
Capacity planning starts by identifying bottlenecks. Response times, error rates, concurrent requests, resource use and database performance are monitored. The proposed solution is then assessed through load testing to understand its effect on capacity and cost.
Vertical scaling increases the resources of the same server, such as CPU, RAM or storage speed. It usually requires fewer architectural changes, but is constrained by resource ceilings and infrastructure limits.
Horizontal scaling runs more application instances behind a load balancer. Session management, files and long-running tasks must support multiple instances operating at the same time.
We first optimise queries, indexes and database connections. Read replicas can distribute part of the read workload. Increasing write capacity may require approaches such as sharding and a different design.
Caching and CDNs are considered to reduce repeated work and distribute static content. Queues and workers separate long-running processing from the main request, allowing its processing capacity to be managed independently.
Automatic resource scaling in the cloud depends on infrastructure capabilities and architectural readiness. Cost, data consistency, replication lag and application behaviour during outages also inform the choice of approach.
For business, content and service websites with standard requirements, a CMS such as WordPress can be a suitable approach. The existing platform provides content management, while design and features are adapted to the project. The choice between a CMS and custom software depends on the requirements and the degree of customisation needed.
Depending on the requirements, we use a customisable existing theme or develop a custom theme. Page structure, responsive layouts and paths to content are aligned with the audience.
Plugins are assessed for suitability, compatibility, security and maintenance status. When no suitable solution exists, a custom plugin or an API connection to another service is designed.
We configure links between language versions, menus, forms, and RTL and LTR layouts. Platform and plugin updates, backups and compatibility reviews form part of the maintenance plan.
After reviewing your goals, processes and constraints, we recommend a delivery approach, explaining the development scope, infrastructure requirements, and the conditions for maintaining and growing the product.