Trusted by companies across the USA
Ship backend APIs in days, not weeks, with measured AI throughput
A founder needed a payments and inventory API that his last team quoted at five weeks. Our AI-Powered Backend Developer had a working, tested build in nine days. You pay a higher hourly rate and a lower total, because the hours add up faster.
We match you within 48 hours.
Trusted by companies across the USA
A logistics startup came to us with a Node.js API that buckled every time three warehouses synced stock at once. Their previous developer had quoted three weeks just to refactor the queue logic and add proper locking. Our AI-Powered Backend Developer mapped the bottleneck in two calls, then rebuilt the sync path with Redis-backed job queues and Postgres row-level locks in eight working days. The duplicate-stock bug stopped firing.
Here is what changes when AI tooling sits inside a real backend workflow. The best available AI coding tools draft boilerplate, generate test scaffolding, suggest query rewrites, and catch obvious mistakes before a human ever reviews them. That removes the slow, repetitive parts of building endpoints, migrations, and service classes. What is left is the work that actually needs judgment: data modeling, transaction boundaries, and deciding where a cache helps versus where it quietly corrupts state.
Here is the honest part. AI tooling does not speed up the thinking. When the hard question is whether your billing schema should be event-sourced or whether a webhook retry could double-charge a customer, faster typing does not help. Those calls still take the same careful hours they always did, and AI earns its keep instead on the 60% of backend work that is structured and predictable.
We are based in Gandhinagar, India, and we work fully remote with US businesses. Your developer overlaps with US Eastern and Pacific hours for standups, reviews, and demos, then keeps building while you sleep. You own every line of code and the full IP from day one, with an NDA and contract in place before work starts. The throughput from AI tooling and the time-zone offset stack: you send requirements at end of day and wake up to a tested branch.
The developer uses the best available AI coding tools to scaffold routes, controllers, and Laravel resources, then hand-tunes the logic that matters. Boilerplate that used to eat half a day takes minutes.
AI tooling suggests PostgreSQL query rewrites and index candidates, which the developer verifies against real EXPLAIN plans. You get slow-query fixes without waiting for a long manual audit.
AI-assisted review flags null-handling gaps, race conditions, and unhandled errors during the build, not after. Many defects never reach a human reviewer because they are caught at draft time.
Unit and integration test skeletons get generated alongside each feature, so coverage keeps pace with the code. The developer fills in the edge cases that AI cannot reason about.
Wiring up Stripe, QuickBooks, or a third-party REST API moves faster because the developer can generate and adapt client code in minutes. The auth and retry logic still gets reviewed by hand.
AI tooling helps the developer stay oriented across a large codebase, surfacing related functions and migrations on demand. That cuts the ramp-up time when picking up an unfamiliar service.
Backend work that traditionally runs three weeks, like a multi-table API with auth and tests, lands in roughly eight to ten days. AI tooling clears the boilerplate so the developer spends hours on logic, not typing.
Each hour produces more shipped endpoints, migrations, and passing tests because drafting and scaffolding are AI-accelerated. The same person covers more ground without rushing the parts that need care.
AI-assisted review catches null gaps, race conditions, and missing error handling during the build. A human still reads every change before merge, so speed does not come at the cost of correctness.
The hourly rate is higher than a standard developer, but the work finishes in far fewer hours. Fewer total hours on the same deliverable means your project bill comes out lower.
AI-powered developer working 40 hours/week on your project.
Same AI-powered developer, 20 hours/week. Consistent AI-augmented progress.
Pay for hours worked. Code reviews, sprints, or consulting with AI-powered output.
Hire a complete AI-powered team. Developer + designer + QA + PM, all using the best AI tools. Maximum output, one monthly rate.
This is the day-to-day delivery workflow, not the hiring process.
Get StartedWe walk through your data flows, existing endpoints, and pain points over a short series of calls. You leave with a written scope and a realistic day count, not a vague estimate.
The developer uses the best available AI coding tools to draft the schema, API surface, and service breakdown, then refines it by hand. You see the data model and route plan before any feature code is written.
Endpoints, migrations, and integrations get built with AI scaffolding clearing the repetitive parts. You get working branches early and often, so progress is visible inside the first few days rather than at the end.
AI-generated tests run on every change, and a human engineer reviews the diff line by line before merge. Nothing ships on AI output alone, especially around money, auth, and data integrity.
We deploy with Docker and watch logs and slow queries through the first live days. After launch you get fast turnaround on fixes and follow-on features, billed by the hours actually worked.
Tell us what your Node.js or Laravel backend needs to do, and we will scope it with a realistic day count and match you with an AI-Powered Backend Developer.
Describe your project and requirements.