Process & technology

How the work actually gets done

The same five steps on every project, and a deliberately boring stack chosen so your product is cheap to run and easy to hand over.

The process

Five steps, start to handover

You always know which step you're in, what's next, and what it costs.

Step 01Day 1

One call to understand the problem. You leave with a fixed quote and a delivery date — not a proposal deck.

Step 02Days 2–4

Flows and screens agreed before a line of code. Cheap to change now, expensive to change later.

Step 03Weeks 1–3

You get a working link within days and it updates continuously. Feedback goes straight to the developer.

Step 04Launch week

Deployed to your own cloud with monitoring, backups and a rollback path. Source code handed over.

Step 0530 days+

A month of fixes and tuning included. Stay on a retainer or take it in-house — your call.

How we build

The habits that keep a two-week timeline from turning into a two-month one.

A staging link goes up in the first few days and updates continuously. You never wait for a milestone to see progress.

Work lands in small pull requests with CI running on each. Easier to review, far easier to roll back when something is wrong.

Automated coverage on the logic that would genuinely hurt if it broke — payments, auth, data integrity — rather than chasing a coverage percentage.

Core Web Vitals and API latency are checked before launch. "It feels fast on my laptop" is not a benchmark.

The person who scoped your project is the person who builds and deploys it. Nothing is lost in a handover, because there is no handover.

Source code, infrastructure in your own accounts, environment docs and a walkthrough call. You could take it to another team the next day.

Technology

Filter by layer to see what we reach for and why.

Why these

Proven beats novel: Everything here runs in production at scale somewhere serious. We are not experimenting on your budget.
You can hire for it: Every tool we use has a large Indian talent pool. When you bring development in-house, you will be able to staff it.
Model-agnostic by design: AI features sit behind an abstraction, so swapping Claude for Gemini — or adding a local model — is a config change, not a rewrite.
Cheap to run: We default to managed services and serverless where it fits, so a low-traffic product costs very little to keep alive.
Portable: Containerised and standards-based. Nothing traps you on one cloud vendor or on us.

Bring the problem to a 20-minute call and you'll leave with a scope, a stack recommendation and a fixed number.