Trusted by companies across the USA
React and Next.js development that ships faster, built for South Bay businesses with real deadlines.
For your Gardena business.
Trusted by companies across the USA
A wholesale distribution company operating out of the South Bay area came to us with a customer portal that had not been meaningfully updated in four years. Their sales reps were copying order data manually between two systems, and customers had no self-service visibility into shipment status. Over a series of calls, we mapped the full order lifecycle and found that at least six hours of staff time per week were disappearing into data re-entry that a properly built React frontend could eliminate entirely.
That is the kind of project our AI-powered developers are built for. We use AI tooling throughout the development cycle, not just to write boilerplate, but to generate TypeScript interfaces from existing API schemas, flag accessibility issues before QA, and cross-check Redux state logic against documented requirements. The result is a developer who produces roughly twice the reviewed, tested output per week compared to a conventional hire. You are not paying for the AI tools separately. They are part of how we work.
Gardena sits inside a dense commercial corridor that includes logistics hubs, light manufacturing, and import-export operations. Businesses in this area tend to have real operational complexity: multiple warehouses, supplier relationships that span time zones, and internal tools that have outlived their original design. A React and Next.js frontend built well can surface that complexity in a way that actually makes sense to the people using it every day. Server-side rendering through Next.js matters here because many of these portals are data-heavy and load speed directly affects whether a warehouse manager refreshes the page or gives up.
We are based in Gandhinagar, India, and we work entirely remotely. Our team overlaps with US Pacific and Eastern business hours each day, which means you can review progress, leave feedback, or redirect work during your normal workday. Every project uses a shared board, recorded demo videos for async review, and a dedicated point of contact who knows your project. You own all the code from day one, with no licensing dependencies on our tooling.
AI-assisted scaffolding and code generation compress the early build phase significantly. Most clients see a functional, reviewable prototype within three weeks of scope sign-off, not three months.
Every AI-generated block goes through a developer review pass before it reaches your codebase. You get more throughput per sprint without trading quality for speed.
We write TypeScript by default because catching type errors at compile time is cheaper than debugging runtime surprises two months after launch. It also makes your codebase easier to hand off or extend later.
Because AI tooling handles repetitive generation tasks, the hours you pay for go toward logic, architecture decisions, and integration work. That compression usually offsets the premium hourly rate within the first two sprints.
AI-powered developer, 40 hours/week.
Same developer, 20 hours/week.
Pay for hours worked.
We spend the first few days reviewing your existing system, asking questions about how your team actually uses it, and identifying the gaps that matter most. If there is a spreadsheet or a legacy tool at the center of your workflow, that is where we start.
Before writing code, we use AI tooling to generate a data model draft from your documented requirements, then a senior developer reviews and adjusts it. This catches structural problems in hours instead of discovering them mid-build.
Development runs in two-week sprints. AI assists with component scaffolding, REST API integration stubs, and Redux slice generation, while the developer handles business logic, edge cases, and anything requiring judgment. You see a working build at the end of each sprint.
We run automated tests for critical paths, then a developer manually walks through the flows a real user would take. AI-generated code gets extra scrutiny here because pattern-generated logic can pass unit tests while still behaving unexpectedly at the edges.
Launch is not the end of the engagement. We monitor for errors in the first two weeks post-launch and handle any issues that surface from real usage. If a feature needs adjustment after users interact with it, we prioritize that in the next sprint.
Share what you are building and we will walk you through how an AI-powered React developer from Aneri Developers would approach it, including a realistic timeline based on your current requirements.
For your Gardena, California business.