Trusted by companies across the USA
REST and GraphQL endpoints shipped in days, reviewed by people
A SaaS founder needed a documented REST API for a partner integration and was quoted three weeks by his last contractor. We had the endpoints, the OpenAPI spec, and the OAuth flow working in eight days. The difference was the best available AI coding tools doing the repetitive scaffolding while a senior engineer made the decisions that actually matter.
We match you within 48 hours.
Trusted by companies across the USA
Here is what the speed looks like in practice. A logistics company came to us with 40-some database tables and no API layer at all. Their mobile app team was blocked, waiting on endpoints that the previous vendor kept pushing back. We mapped the resources over two calls, generated the route scaffolding and request validation with AI assistance, and had a working REST surface for the first 12 resources inside a week.
That is the core of how an AI-Powered API Developer works differently from a regular hire. The boring, predictable parts of API work get faster: boilerplate controllers, serializer code, OpenAPI documentation, test fixtures, and the dozen near-identical CRUD handlers that every backend needs. A traditional developer types all of that by hand. Our engineers describe the shape and review the output, which is roughly twice as fast on this kind of work.
The honest part: AI does not design your API for you. It will happily generate an endpoint, but it will not tell you that exposing your internal user IDs in the URL is a mistake, or that your pagination scheme breaks under concurrent writes. Those calls come from a person who has built and broken enough APIs to know the difference. AI is a throughput multiplier on the typing, not a replacement for the judgment.
We are based in Gandhinagar, India, and we have been building software since 2015 for clients across more than 20 countries. Our team overlaps with US business hours for calls and reviews, and the AI-augmented workflow means you often see a pull request the morning after you send requirements. You own every line of code and the full API spec from day one.
A senior backend engineer paired with the best available AI coding tools. The tools handle scaffolding and repetitive endpoint code; the engineer owns architecture, security, and the decisions a generator cannot make.
REST controllers, GraphQL resolvers, request validation, and OpenAPI docs are predictable patterns. AI drafts them in minutes instead of hours, so a backend that took three weeks lands in eight to ten days.
Every generated route gets read line by line before it merges. Auth logic, rate limiting, and data exposure rules are reviewed by an engineer, never shipped straight from a tool.
The hourly is above a standard developer because the output per hour is higher. Fewer total hours on the same scope means the project bill usually comes out lower, not higher.
You are not renting a seat to type at normal pace. You are buying throughput on a defined API build, measured by what ships, not by hours logged.
Our India team works while much of the US sleeps. You send requirements end of day and review progress the next morning, with live overlap during US hours for the calls that need it.
A documented REST API with auth that traditionally takes three weeks gets to a working, testable state in eight to ten days. The OpenAPI spec is generated alongside the code, not bolted on at the end as an afterthought.
One engineer with AI tooling produces the endpoint volume that used to take two. CRUD resolvers, serializers, and validation schemas get drafted in bulk, then refined, so an hour of work covers far more surface area.
AI catches inconsistencies a tired developer misses at hour seven: a missing null check, an unhandled error path, an endpoint that forgot pagination. The engineer reviews each one, so consistency goes up rather than down.
The rate per hour is higher, but the scope finishes in fewer hours. On a typical API build, the total comes out below a standard team because you pay for far less elapsed time.
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 start by listing the resources your API needs to expose and how they relate, usually over a call or two with your team. This is the part AI cannot do for you, because it depends on how your business actually works. We leave this stage with a resource map and the auth model agreed on paper.
With the resource map set, we use AI tooling to draft the endpoint structure, the OpenAPI outline, and the data contracts. You get to review the proposed shape of the whole API before a single handler is built. Catching a wrong assumption here costs minutes instead of days.
This is where the throughput shows. The repetitive controller, resolver, and validation code gets generated and refined in hours rather than days, while the engineer hand-writes the auth and any logic with real edge cases. You typically see the first endpoints working within the first few days.
AI generates the test fixtures and a first pass of integration tests, which covers far more cases than a hand-written set usually does. Then a senior engineer reads every route by hand, checking data exposure, OAuth scopes, and rate limits. Nothing ships from a tool unread.
We deploy the API, hand over the OpenAPI spec, and watch the first real traffic with you. As your partners integrate, you will find endpoints that need a tweak or a new field, and the AI-augmented loop means those changes land fast. You own the full codebase and spec throughout.
Send us the resources your API needs to expose and the integrations you are planning. We will map a realistic timeline for an AI-Powered API Developer to build it, with the OpenAPI spec and OAuth flow included, so you can compare it against the three-week quote you are probably holding.
Describe your project and requirements.