AI-Native Software Engineering

A team that builds at 2026 speed

AI-assisted development is not a service we sell on the side. It is how our engineers work every day. The result is more shipped per sprint, with the review and test discipline that keeps the pace from becoming technical debt.

8+
Years building software
500+
Projects delivered
50+
Engineers on staff
What this actually means

Speed with the safety rails on

Anyone can generate code quickly now. The differentiator is everything that decides whether that code survives contact with production.

AI-assisted implementation

Our engineers use AI tooling across the loop for scaffolding, refactors, migrations and test generation, with a human accountable for every line that merges.

Test coverage as default

Generated code without tests is a liability. Coverage is written alongside the feature, so velocity does not quietly trade against reliability.

Review that stays rigorous

Every change is human-reviewed against the architecture, not just the diff. Faster authoring makes disciplined review more important, not less.

Security and dependency hygiene

Automated scanning, dependency audits and threat review in CI, the failure modes that grow fastest when code volume grows fast.

Legacy modernisation

Aging PHP, .NET and monolith codebases mapped, tested and incrementally migrated. AI makes the comprehension step tractable on code nobody remembers writing.

Team augmentation

Embed our engineers into your existing team and workflow, your board, your standups, your definition of done.

What you get

Outcomes, not seat hours

Shorter cycles

Features that used to take a quarter land in weeks, because the slow parts (boilerplate, migrations, test scaffolding) stopped being slow.

Code you can hand over

Documented, tested and conventional. Written to be read by whoever maintains it next, including your own team.

Fewer regressions

Coverage written with the feature means the test suite is a real safety net rather than something written to satisfy a metric.

Transparent progress

Working software every sprint, in an environment you can click through. No status-report-only weeks.

Engagement

How we plug in

01

Architecture and plan

We read the codebase, map the constraints and produce a build plan with a fixed first milestone, before anyone writes a line.

02

Weekly shipping

Two-week sprints with a working deployment at the end of each. You see and use the thing rather than reading about it.

03

Handover or run

We document and train your team to own it, or we run it in production. Your call, made at the end and not locked in at the start.

Stack

What we build with

Frontend
ReactNext.jsTypeScriptVueTailwind
Backend
Node.jsPythonFastAPIDjangoLaravelGo
Mobile
React NativeFlutterSwiftKotlin
Delivery
GitHub ActionsDockerTerraformObservabilityAutomated QA
FAQ

Questions we get asked

AI assists our engineers; it does not replace them. A named engineer is accountable for every merged change, reviews it against the architecture, and answers for it in production. The tooling changes how fast the first draft appears, not who is responsible for it.
That is exactly why the review, test and scanning discipline above is non-negotiable. Fast authoring without those controls produces volume, not software. We would rather show you the test suite and CI configuration than argue the point.
Yes. Team augmentation engagements run in your repo, your ticket system and your review process. We adapt to your definition of done rather than importing ours.
Regularly. We start with a comprehension and risk pass, mapping the code, finding what is untested and identifying what will break first, then work incrementally from there rather than proposing a rewrite by reflex.

Need to ship faster without lowering the bar?

Send us the roadmap you are behind on. We will come back with an honest read on what is achievable and how we would sequence it.

Talk to an engineer

Reviews

Clutch
5.0
Upwork
5.0
Google
5.0
Freelancer
5.0