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Features shipped in days, not weeks, with GitHub Copilot in the editor
You get a developer who pairs real engineering experience with GitHub Copilot to move through everyday build work at roughly twice the usual pace. More gets done per hour, so the total cost of finishing a feature drops even though the hourly is higher. This is a premium model for teams that care more about how soon something ships than about the rate on a timesheet.
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Trusted by companies across the USA
A founder reached out with a half-finished React reporting tool his previous contractor had abandoned. He needed CSV exports, a filterable data table that would not choke on 30,000 rows, and a Python service behind it. The quote in his inbox said three weeks. Our developer, working with GitHub Copilot, had a reviewable build in front of him in eight days.
That gap is the entire point of this model. GitHub Copilot lives in the editor and offers inline completions as the developer types, so the repetitive parts of a build go quickly. The engineer accepts what fits, rejects what does not, and keeps making the architecture calls. The tool drafts; the human decides.
It shows up in a few concrete ways. Inline completions finish the boilerplate the moment a function signature is typed, and Copilot Chat sits in a side panel for asking why a TypeScript error is firing or sketching a Python function from a description. When it is time for tests, Copilot drafts cases against the actual code so the developer can extend the ones that matter and drop the ones that do not. None of it ships without a human reading every line.
We are based in Gandhinagar, India, and work fully remote with US teams. Our hours overlap your morning, so you hand off a requirement and review progress before you log off. The time zone and the Copilot throughput stack together: work moves while you sleep, and each hour covers more ground than a traditional pace allows.
GitHub Copilot drafts code through inline completions, but the developer drives every decision. Human time goes toward logic, architecture, and the judgment calls a completion engine cannot make for you.
When a TypeScript error is cryptic or a Python function needs sketching from a description, Copilot Chat answers in a side panel without breaking flow. The developer uses it to move faster through unfamiliar code, not to skip understanding it.
A React feature that traditionally takes three weeks lands in eight or nine days here. The speed comes from Copilot handling repetitive typing, not from cutting testing or review.
Copilot drafts unit tests against the actual functions, so a Python or JavaScript module gets baseline coverage in minutes. The developer then extends the cases that matter and removes the ones testing nothing real.
Nothing reaches your main branch on the strength of a Copilot suggestion alone. Every change is read, tested, and reasoned through by the engineer before it merges.
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.
Inline completions finish boilerplate, API client code, and repetitive component structure as a signature is typed. A React dashboard that would normally take three weeks reaches a reviewable state in a little over a week, because the saved time goes to logic instead of scaffolding.
Each working hour covers more ground when GitHub Copilot handles first drafts and the engineer refines them. A single developer ships closer to what a pair would, and commits land on your board every day rather than in one drop at sprint's end.
Faster does not mean looser. Copilot drafts unit tests alongside the code, so edge cases get caught earlier in Python and TypeScript alike. 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 finishes 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 codebase looks like, and where the real constraints sit. You leave this stage with a written scope and a realistic estimate, not a vague promise about speed.
Before feature code starts, the developer sketches the architecture and data shapes, using Copilot Chat to pressure-test approaches and draft interface stubs. You see the plan and the contracts up front, which catches design problems while they are still cheap to change.
This is where the speed shows. React components and Python handlers get scaffolded through inline GitHub Copilot completions and refined by hand, with commits landing on your board daily. You watch a feature take shape over days instead of waiting weeks for one reveal.
Copilot drafts the first round of tests, then the developer reviews and extends them rather than trusting the auto-generated set. The engineer reads each line for logic, security, and fit with your conventions, because Copilot is good at drafting and poor at understanding your business rules.
We deploy with you, watch the first real traffic, and tighten whatever production 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.
Tell us about the React, Python, or TypeScript work sitting in your backlog, and we will scope it and show you how a GitHub Copilot developer can deliver it in days rather than weeks. You own the code, and you see progress the day after we start.
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