Your frontend is slowing you down
and the cause is rarely where you'd look first.
0% of engineering teams now use AI coding tools. Only 0% have agreed how the output gets reviewed.
Tech debt compounds quietly
Every sprint your team spends a little longer working around last quarter's shortcuts. The slowdown is real, but it is spread across enough files that nobody can point at a single cause.
Hiring can't keep pace
By the time a new hire is productive, the framework has shipped another major version. Recruitment cycles are measured in months and frontend churn is not.
AI adoption without a plan
Your developers use Copilot every day and nobody has agreed what review looks like for code none of them wrote. More gets written each week, and more of it goes unread.
Knowledge stays in one head
The patterns holding your architecture together live with the engineer who introduced them. When they leave you inherit the code, but none of the reasoning behind it.
Four things we get asked for
more often than anything else.
Frontend Modernization
We've moved Angular 1.x monoliths onto React microfrontends while the team kept shipping features. The migration runs in production, in increments, alongside your existing roadmap.
We keep the company small
so the people you meet are the people who build.
We take on a handful of engagements each quarter. Everyone who works on yours is senior, and the work is never handed down once it has been sold.
The frontend is the specialism
It is where we have spent the last ten years, so we know the failure modes: the render loops, the bundle regressions, the state that leaks across half the app. We work with backend and infrastructure when the job needs it, but the depth is here.
AI without the cleanup bill
We teach teams to use Copilot and LLMs in ways that survive review. The speed is worth having, provided somebody decides what good looks like before the code lands.
The knowledge stays with you
Every engagement should leave your team holding more than it started with. Reasoning goes into your codebase and your review process, where people will meet it again long after we have gone.
Built for complex frontends
Microfrontends, design systems shared by several teams at once, interfaces built around a model's output. These are architectures we have run in production, with the operational scars to show for it.
Four phases, each ending in something
you can read, run or hand to someone else.
Audit
We read the codebase, sit in on how the team works, and measure what can be measured. You get an honest account of where the time goes and which fixes are worth their cost.
Three clients,
in their own words.
The migration mattered less than what came with it. They explained the architectural reasoning as they went, and six months on the team is still shipping at that pace without anyone from Amony in the room.
We brought them in for an AI integration and they spotted three structural issues our team had been working around for a year. Honest and direct, and genuinely senior.
What surprised me was the handover. Every PR arrived with its context and every decision with a reason, so when the engagement ended there was no gap to fill.
