What an AI Proof of Concept Involves (and Costs)
Learn what an AI Proof of Concept (PoC) involves, from scoping and data requirements to timelines and costs. Discover how to validate your AI use case before committing to full production.
Read MoreAssess whether your product needs a modular monolith, microfrontends, or simpler boundaries.
Microfrontend architecture using Module Federation or single-spa where independent releases help.
Incremental migration from a frontend monolith without requiring a full rewrite.
Reusable UI components and design systems to maintain consistency across product areas.
Frontend performance work focused on loading speed, bundle size, and user experience.
Independent frontend build and deployment workflows with clear integration contracts.
Large, coupled frontend codebases that slow down development and make scaling teams difficult.
Being stuck with outdated frameworks or unable to adopt new technologies due to tight coupling.
Risky deployments where small changes require rebuilding and redeploying the entire frontend application.
Variations in UI/UX across different parts of the application due to lack of shared design systems.
Challenges in maintaining synchronized state between independently developed frontend modules.
Dependency conflicts when different teams require different versions of the same library.
We analyze your current frontend architecture, team structure, and business goals to define the optimal microfrontend strategy.
We identify business domains and define clear boundaries for each microfrontend to ensure loose coupling and high cohesion.
We set up the module federation or single-spa infrastructure, shared dependencies, and development environment standards.
Teams develop independent microfrontends using their preferred frameworks while adhering to shared contracts and design systems.
We implement integration testing strategies and ensure seamless communication between microfrontends in production-like environments.
We establish independent deployment pipelines and implement monitoring to track performance and errors across microfrontends.
Have questions about our engineering team, timelines, or pricing? Find answers here, or contact us directly.
Microfrontend architecture benefits applications of various sizes. For smaller applications, we recommend a simpler modular monolith approach. For medium to large applications with multiple teams or complex deployment requirements, microfrontends provide significant advantages in team independence and deployment flexibility.
We recommend creating a shared UI library or design system that can be consumed by all microfrontends. This ensures consistency while allowing teams to work independently. We can help you build and maintain this shared library using tools like Bit, Storybook, or npm packages.
While there can be some overhead, we mitigate this through shared dependencies (using externals or shared module federation), code splitting, and lazy loading. The performance impact is often negligible compared to the benefits of independent deployability and team scalability.
We typically use a shell application (often built with single-spa or custom routing) that handles top-level routing and mounts/unmounts microfrontends based on the URL. Each microfrontend manages its internal routing independently.
Absolutely. We recommend a strangler fig pattern where you gradually replace parts of your frontend with microfrontends. We can help you identify the best starting points and create a migration roadmap that minimizes risk.
Tell us what you're building. A real member of the team will get back to you within 24 hours — not a sales rep.
Tell us what you're building. No project managers, just engineers reviewing your tech stack.
We'll get back to you within a day with technical feedback and actionable next steps.
Your intellectual property is sacred. We sign an NDA before you share a single line of code.
Once we agree on the scope and terms, our team starts writing production code within 48 hours.
"Bytevault delivered our custom platform ahead of schedule. They worked directly with our team, with none of the account-management fluff you'd expect from a bigger agency."
VP of Engineering
Whether you need a full engineering team to build from scratch or an expert audit to fix scaling issues, we're ready to dive in. Drop us a message below — speak directly with a senior engineer, not a sales rep.
Learn what an AI Proof of Concept (PoC) involves, from scoping and data requirements to timelines and costs. Discover how to validate your AI use case before committing to full production.
Read MoreDeciding whether to build custom software or buy off-the-shelf? A practical decision framework covering cost, control, time-to-market, and when each choice wins.
Read MoreStop letting old software hold your business back. A practical guide to the 6 strategies for legacy modernization: rehosting, re-platforming, refactoring, and rebuilding.
Read More