This modernization proposal is adapted from a real document written and presented to management. Company names, screenshots, internal feature lists, business rules, and implementation details have been anonymized to reduce exposure and legal risk. The original reasoning and writing style are unchanged.
Summary
This proposal recommends a targeted frontend rebuild of a legacy internal product. The existing UI is still usable, but it has become expensive to maintain, slow to extend, and increasingly unsuitable for the next set of requested features.
The recommendation is to rebuild the frontend into a modern component-based application, keep the stable backend and APIs in place, and change the hosting model so the frontend can be deployed in a way that is scalable, low cost, and easier to manage. This avoids the cost and risk of a full rewrite while still making a meaningful architectural improvement.
The proposal also introduces a practical AI-assisted delivery method. Repeated UI areas and repeated test work can be accelerated with AI, while developers still own review, correction, and final validation. The goal is to shorten delivery time without turning the work into uncontrolled code generation.
Current State
The existing frontend is built over time on older [framework redacted] patterns, custom styling, and screen-specific implementation decisions. It still works, but similar workflows are inconsistent, UI changes take too much effort, and the frontend has become a bottleneck for roadmap work.
The deployment model also no longer fits the product well. The frontend is tied too closely to the older application delivery model, which makes releases heavier than necessary and makes it harder to treat the UI as a cleaner independently deployable asset.
Observed Issues
- Repeated UI patterns had been implemented differently across the product.
- Custom styling and one-off screen behavior increased maintenance cost.
- New features required extra investigation before implementation could even begin.
- Frontend releases were heavier and less flexible than they needed to be.
- Developers spent too much time working around legacy structure instead of building product functionality.
Proposed Approach
The proposed solution is a focused frontend modernization rather than a full system rewrite. The backend and working API behavior are preserved where possible and adjusted where necessary, while the UI is rebuilt into a cleaner component-based application with a more maintainable structure.
The rebuild standardizes common interface patterns, improves state handling and refresh behavior, reduces duplicated UI logic, and creates a cleaner path for future feature work. The goal is to remove a delivery bottleneck, not to replace working backend behavior just because the frontend needs to change.
Scope of Proposal
- Rebuild the frontend into reusable, consistent component patterns.
- Keep stable backend integrations and API contracts where they already worked.
- Improve frontend delivery, maintainability, and user experience without expanding into a full rewrite.
- Support the requested feature list that the older frontend architecture was slowing down.
Architecture Changes
The most important architectural change is separating the frontend from the older delivery model. Instead of continuing to serve the UI through the legacy application stack, the rebuilt frontend is compiled into static assets and deployed through a hosting approach that is easier to scale and less expensive to operate.
This is more than a hosting preference. It simplifies frontend deployment, reduces unnecessary application-server responsibility for UI assets, improves cache and distribution behavior, and makes it easier to release frontend changes without tying them to backend release mechanics that do not need to change.
Recommended Architecture
- Build the new frontend as a standalone component-based application.
- Host compiled frontend assets in a scalable, low-cost delivery layer.
- Use a delivery approach that supports caching, fast distribution, and simpler frontend releases.
- Preserve working backend APIs so the architecture change stays focused on the frontend and delivery layers.
Delivery Method
The delivery method intentionally focuses on repeated, high-friction areas of the frontend first. Duplicated UI sections are identified, pulled into reusable component boundaries, and rebuilt in a way that is easier to extend without becoming overly abstract.
A practical AI-assisted workflow is introduced as part of this effort. AI is used to accelerate repeated component rewrites and repetitive unit test drafting, while developers remain responsible for testing, review, correction, and final acceptance. This speeds up delivery without weakening engineering oversight or quality control.
Working Method Introduced to the Team
- Identify duplicated UI patterns and repeated legacy code.
- Explain the workflow to the team and demonstrate concrete examples before expecting broad adoption, so the method feels practical instead of abstract.
- Use AI to accelerate first-draft reusable components without making them too large or complex.
- Have developers review, test, correct, and iterate the generated output.
- Use the same method for repeated unit tests and other tedious validation work.
- Build trust in the workflow by keeping developers in control of scope and quality.
Why Not a Full Rewrite
A full application rewrite would increase cost, testing scope, delivery time, and project risk without solving the right problem first. Much of the backend integration and API behavior is still usable.
The proposal deliberately keeps the scope narrow: modernize the frontend, improve its hosting and delivery model, and remove the UI bottlenecks that are slowing feature work. That approach provides most of the practical benefit without paying the price of rebuilding the entire system.
Expected Benefits
Product and Delivery Benefits
- Faster delivery of requested features because the UI is built from shared patterns instead of one-off screens.
- Lower frontend maintenance cost through reusable components and more consistent workflows.
- Cleaner frontend deployment through a scalable, low-cost hosting model.
- Improved user experience through more consistent controls, layouts, and states.
- Better developer productivity through practical AI-assisted component and test workflows.
Risks and Considerations
The main risk is allowing the modernization to expand beyond the frontend and turn into a broad rewrite effort. That would delay delivery and weaken the original business case.
Another risk is using AI too loosely. The proposal assumes that AI-generated output is still reviewed, tested, and corrected by developers. The benefit comes from accelerating repeated work, not from removing engineering judgment.
- Scope expansion into backend or business-logic changes would reduce delivery speed.
- Over-abstracting components would make the rebuilt frontend harder to maintain.
- AI-generated code still requires review, testing, and correction.
- Frontend hosting changes require clear deployment and cache invalidation practices.
Time and Cost Considerations
The proposal is positioned as a focused modernization effort rather than a long-running rewrite program. By preserving stable APIs, narrowing the architecture change to the frontend and its hosting model, and using AI to accelerate repeated implementation and testing work, the effort stays within a realistic delivery window.
The expected result is a shorter, more controlled delivery timeline than a broader rewrite effort would require, while still producing meaningful improvements in maintainability, release flexibility, and product velocity.
Recommendation
The recommended path is a targeted rebuild of the legacy UI, with the frontend moved to a scalable, low-cost hosting model, stable backend integrations preserved where possible, and the delivery model centered on reusable components and practical AI-assisted development workflows.
This approach addresses the real bottleneck, improves the architecture meaningfully, reduces long-term maintenance cost, and creates a faster path for future product work without taking on the risk of a full rewrite.
Results
After approval, I completed the modernization with one other developer in roughly six weeks, compared with the original developer estimate that the work would take at least six months.
Midway through the PrimeReact work, the license changed to a paid model. That paused development while the options were weighed, including simply paying for it. The new license cost was about $800 per developer per year, and the project did not need the full breadth of components included in that price. Beyond the direct cost, licensing changes like this have a fairly consistent pattern: incentives shift, the contributors who built the free version stop contributing since they are no longer doing it for free, community support fades, and the project eventually stagnates or gets displaced by an open alternative. ExtJS is a clear historical example. It was an amazing framework in its time that lost relevance after a similar shift. Similar patterns have played out elsewhere. Redis forked into the more open Valkey. OpenOffice lost ground to LibreOffice after Oracle's acquisition. Hudson is irrelevant now, succeeded by Jenkins. That history was part of the reason to move away from PrimeReact rather than simply pay for it and wait to see how things played out.
With PrimeReact ruled out, the remaining leading component libraries were evaluated. HeroUI carried the same paid-license risk that had just forced this change. MUI was heavier than the project needed. Between Ant Design and Mantine, Mantine offered more components out of the box, which made it the better fit for a fast switch without building custom components to fill gaps. Mantine also had wide developer support and active maintenance, and had been around since 2021, reducing the risk of picking a library that would lose momentum or go unmaintained.
The final outcome preserved the stable backend behavior, delivered a cleaner component-based frontend, reduced deployment time and complexity, and created a more practical path for adding features without repeating the same legacy UI problems. User feedback was also largely positive, with people noting that the updated product looked better and offered much more capability than the previous version.
Observed Outcome
- The frontend was rebuilt without forcing a full system rewrite.
- The delivery approach kept the scope focused on the actual bottleneck.
- Reusable component patterns reduced repeated UI work.
- AI-assisted implementation accelerated repeated frontend and testing tasks while developers kept quality control.
- Deployment became faster and easier, with less manual checking and less server-script maintenance.
- User feedback was largely positive, especially around the improved appearance and expanded capability of the product.
- The delivered timeline was far shorter than the original estimate of at least six months.
- The result created a faster path for future product work than the legacy UI allowed.