TypeScript features shipped in days, not weeks, with AI in the loop
You get a developer who pairs deep TypeScript experience with the best available AI coding tools to move through real work at roughly twice the usual pace. The output per hour goes up, so the total cost of getting a feature done comes down, even though the hourly is higher. This is a premium model built for teams that care more about how fast something ships than about the rate on a timesheet.
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A founder came to us with a half-built React admin panel that his last contractor had abandoned mid-sprint. He needed user roles, a billing view wired to Stripe, and a data table that could handle 40,000 rows without freezing the browser. The estimate he had been quoted was three weeks. Our AI-Powered TypeScript developer had a working build in front of him in nine days, types and all.
That gap is the whole point of this model. The developer still writes the architecture, makes the judgment calls, and owns the result. The best available AI coding tools handle the parts that used to eat hours: scaffolding components, generating boilerplate, drafting test cases, and catching type mismatches before they hit a review. More gets done in an hour, which is a different thing from cutting corners.
TypeScript fits this approach because the type system gives the tooling guardrails. When the AI suggests a Node.js handler or a Next.js route, the compiler flags anything that does not line up with your existing interfaces. The developer keeps what is right, fixes what is not, and moves on. You end up with code that is faster to produce and easier to maintain, not a pile of generated guesswork.
We are based in Gandhinagar, India, and work fully remote with US teams. Our hours overlap your morning, so you can hand off a requirement and review progress before you log off. The time zone and the AI throughput stack together: work moves while you sleep, and each hour covers more ground than a traditional pace allows.
The developer drives every decision. The best available AI coding tools handle scaffolding, boilerplate, and first-draft tests so the human time goes toward logic, architecture, and the parts that need judgment.
TypeScript's compiler checks every AI suggestion against your existing interfaces. A generated Node.js function that does not match your types fails immediately, so bad output gets caught before it reaches a pull request.
A React feature that traditionally takes three weeks lands in eight or nine days here. The speed comes from automating the repetitive work, not from skipping testing or review.
One developer moves across React on the front end, Node.js on the back end, and a REST API in between without switching languages. Shared types across the stack cut down on the bugs that live at the seams.
Nothing ships on the strength of an AI suggestion alone. Every change gets read, tested, and reasoned through by the engineer before it goes near your main branch.
Our morning lines up with your morning, so handoffs happen in real time over Slack and Zoom. You raise a requirement, the work progresses while you are offline, and you review a real build the next day.
The repetitive parts of a build, component scaffolding, type definitions, API client code, get drafted in minutes instead of hours. A Next.js dashboard that would normally take three weeks reaches a reviewable state in a little over a week, because the developer spends their time on logic rather than typing out structure.
Each working hour covers more ground when the AI handles first drafts and the engineer refines them. A single developer ships closer to what a pair would, and you see commits land on your board every day rather than in one big drop at the end of a sprint.
Faster does not mean looser. The tooling drafts unit tests alongside the code and surfaces type errors as they happen, so edge cases get caught earlier. The developer still reads every line, which keeps the codebase consistent instead of a patchwork of generated snippets.
The hourly is higher than a traditional developer, but the feature gets finished in fewer hours, so the total comes out lower. You pay for outcomes that arrive sooner, which means your product reaches users weeks earlier.
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 with a short working session to pin down what you actually need, what your existing TypeScript codebase looks like, and where the real constraints are. You leave this stage with a written scope and a realistic estimate, not a vague promise about speed.
Before any feature code, the developer uses the AI tooling to draft an architecture, sketch the type interfaces, and lay out the REST API contract. You see the plan and the data shapes up front, which catches design problems while they are still cheap to change.
This is where the speed shows up. Components, Node.js handlers, and Next.js routes get scaffolded with AI assistance and refined by hand, with commits landing on your board daily. You can watch a React feature take shape over days instead of waiting weeks for a single reveal.
Every change goes through tests the developer reviews and extends, never just the auto-generated ones. The engineer reads each line for logic, security, and fit with your conventions, because AI is good at drafting code and poor at understanding your business rules.
We deploy with you, watch the first real traffic, and tighten whatever the production data exposes. Because the build moved quickly, there is room left in the timeline to iterate on what users actually do rather than what we assumed they would.
Tell us about the React, Node.js, or Next.js work sitting in your backlog, and we will scope it and show you how an AI-Powered TypeScript developer can deliver it in days rather than weeks. You own the code, and you see progress the day after we start.
Describe your project and requirements.