Legacy PHP Modernization

Legacy modernization at Kavita Systems starts with respect for the system that already runs the business. Old PHP, Yii, CodeIgniter, WordPress-based and custom platforms often contain hidden rules, manual workarounds and data that cannot simply be replaced. We begin by learning what the product does today: who uses it, which workflows are critical, where support problems happen, what data must be protected and which changes carry real business risk.

The first useful deliverable is often not a new Laravel module. It is a clear audit and risk map. We review code structure, database shape, access rules, cron jobs, API calls, hosting, logs, backups, old packages and release process. We also look for working features, unused screens, unreliable data and special cases known only by the team. This separates real modernization from cosmetic cleanup.

From that review, we choose a path that fits the product instead of forcing one rewrite plan on every legacy system. Some products need stabilization first: security fixes, logging, backups, dependency updates or database indexes. Others can move module by module into Laravel. Sometimes the safest step is to keep the old interface while selected backend workflows are rebuilt. Sometimes a new Laravel core with cleaner APIs and a modern frontend is worth planning.

Workflow mapping matters because legacy products often hide business logic in templates, database triggers, old controllers, cron files or manual admin steps. We document how records move, who can approve or edit them, what happens after payment, when reports are generated and how external services affect the product. This gives the migration a product map and helps the client decide what should be kept, repaired, replaced or postponed.

Design work is handled carefully. Modernizing a legacy product does not always mean changing every screen at once. For admin panels, dashboards, forms, tables and support tools, Figma helps test a better workflow before development changes the system. UX/UI design improves clarity, while UX engineering checks states, responsive behavior, validation and component reuse. Figma Agents can help explore outdated interface patterns, and Figma MCP can bring approved design context closer to Vue, React, Nuxt, Next or Inertia implementation.

The Laravel target architecture is chosen after the risk map is clear. A modular monolith can be a strong fit when business logic, admin tools and deployment should stay in one maintainable application. Inertia.js can modernize internal screens without a separate frontend app. A decoupled, headless or API-first structure can make sense for mobile clients, public APIs, CMS boundaries, partner integrations or a more independent frontend. We explain these choices through support cost, release risk and future maintenance.

Data migration receives special attention because old databases often carry the real value of the product. We review tables, relationships, duplicated records, files, accounts, roles, permissions, reports and history before anything moves. Migration scripts, validation checks, backups and comparison steps are planned before release, so the new Laravel structure does not expose private data or block daily work.

Implementation can include refactoring, module rebuilds, Laravel migrations, API cleanup, queue setup, scheduled commands, notification logic, file storage, admin tools and integration repair. We do not move old problems into a new framework just to say the product was migrated. Useful business logic can be preserved and tested, while fragile code is replaced in stages. Unclear cron scripts can become Laravel jobs, queues and logs that support teams can inspect.

Modernization may also prepare the product for AI, but only where the data and workflow justify it. A Laravel AI-ready structure can make future features safer by cleaning data flow, service boundaries, queues and permissions first. A direct AI integration through the Laravel AI SDK or external providers may help with document processing, search, summaries, classification or internal support tasks. Coding agents and Laravel Boost can support code review, refactoring ideas and regression tests, but senior engineers still decide migration strategy, security rules and release timing.

QA for legacy migration is risk control. We test login, permissions, key workflows, data migration, reports, integrations, emails, imports, exports, queued jobs, scheduled tasks and old-versus-new output where comparison matters. Automated tests and AI-assisted test generation can cover regression paths, but manual review is still needed. Before launch, we prepare staging checks, backups, queue setup, logs, monitoring and rollback awareness.

Collaboration stays practical: project call, agreed scope, visible milestones, tracked work, demos, decision notes and release care. After the first migration stage, support can include fixes, monitoring, dependency updates, performance work, user feedback and planning for the next module. The business benefit is a product that becomes easier to understand, safer to change and realistic to support.