How we work

AI-powered senior teams that own the whole platform

No hand-offs between an architect who sells and juniors who build. The engineers who scope your system are the ones who run it in production.

Where post-seed engineering goes wrong

Five mistakes we see most often in teams between seed and Series A, what each one costs, and how we decide differently. If you recognise one, it is the right first topic for a call.

  1. Hiring a CTO before the product is defined

    A founding team closes a seed round and opens a CTO search because that is what the deck said. The product has no shape yet, so the hire ends up writing code alone or managing a team that does not exist.

    What it costs

    Three to six months of search, a senior salary plus equity, and often a second search a year later when the role turns out to be hands-on. The product waits the whole time.

    How we decide

    We act as the technical lead until there is a system worth hiring for. When you do hire, we help with the search and hand over a documented platform rather than a surprise.

  2. The agency that sells with an architect and delivers with juniors

    The person who understood your problem in the sales call is not the person writing the code. Decisions get reinterpreted by people who were not in the room, and you find out at the first production incident.

    What it costs

    A system that matches the proposal on paper and that nobody can explain in practice. The usual outcome is a rewrite by the next team, which takes about as long as the first build.

    How we decide

    The engineers who scope your system are the ones who run it in production. No project-management layer in between, so there is nobody to translate and nothing to get lost in translation.

  3. Building infrastructure the team cannot run

    Kubernetes for three engineers, a microservice per feature, a cloud account nobody owns. It looks like scale; it behaves like a second product that needs its own team.

    What it costs

    A cloud bill that grows faster than revenue, deploys that only one person dares to run, and a bad week when that person leaves. Launch-day downtime usually traces back here.

    How we decide

    We size the infrastructure to the team that will operate it, define it as code and measure what matters: the GoMedicus disaster-recovery drill restored the platform in 47 minutes, and a container deploy takes 8 minutes with automatic rollback.

  4. Estimates that hide open decisions

    A single number for the whole build, given before anyone has asked which payment provider, which identity model or which compliance regime applies. The number is a guess wearing a date.

    What it costs

    The slip arrives at the worst moment: after you have told investors or a customer the date. Each open decision discovered late costs weeks, and some force a partial rewrite.

    How we decide

    We scope and plan before quoting, and the plan says which parts are firm and which depend on decisions still open. You see the risk before you commit money, not after.

  5. Treating security and compliance as a later retrofit

    Data protection, audit trails and access control are left for "after launch". The first enterprise customer or the first EU market sends a questionnaire, and the answers are no.

    What it costs

    A security finding that blocks the deal you built the product for, or a GDPR gap that delays an EU launch by a quarter. Retrofitting access control into a live data model is slow and risky.

    How we decide

    Compliance is part of the build: GDPR, hosting and data residency handled from the first architecture decision. That is how a HealthTech platform in Germany went from scoping workshop to Series A in 19 months.

Hire in-house, bring in a product team, or augment?

The honest answer depends on three things: whether the product has a shape yet, whether someone can manage engineers, and how long the runway is. Our short version:

  1. Hire in-house when

    The product is defined, you have a technical leader who can interview and manage engineers, and you can afford six months of searching and onboarding before the new team is productive. Long term, a team you own is the right answer, and we help you get there.

  2. Use a product team like Cloudnonic when

    You are post-seed, nobody in-house can own the architecture yet, and the runway is measured in months rather than years. You get senior engineers in production within weeks, and you hand over to your own hires whenever you are ready.

  3. Augment when

    You already have an engineering lead and a working process, and the gap is capacity, a specific skill such as AWS or data, or a second timezone. The embedded team joins your repos and standups; your leads keep the roadmap.

If the right answer for you is to hire rather than to work with us, we say so on the first call.

Two ways to work with us

Same engineers, same standards — the difference is who sets the roadmap.

Your product team

For founders without an in-house engineering org yet. We take the product from decision to production and stay accountable for it.

  • We own architecture, delivery and on-call
  • You set priorities; we turn them into shipped software
  • Hand-over to your own hires whenever you are ready

What this prevents

A prototype that never becomes a platform, and a CTO hire made before the product deserves one.

An embedded team

For companies with engineering already in place that need capacity, a specific skill set, or a second timezone.

  • We join your repos, standups and review process
  • Your leads keep ownership of the roadmap
  • Scale the team up or down without a hiring cycle

What this prevents

A six-month hiring cycle for a skill you need this quarter, and a vendor that works outside your process and leaves no trace in your repos.

Why we work this way

Each rule below is a decision about where projects fail, not a preference.

Senior engineers only

The expensive mistakes in a platform are made in the first weeks: data model, identity, infrastructure. A junior cannot be expected to recognise them, and a senior supervising juniors spends the time reviewing instead of deciding. Fewer, more experienced people cost less per outcome, even when they cost more per hour.

The engineers who scope also run production

An estimate is only honest when the person giving it will live with it. Because the same team carries the on-call and the rollback, scoping stays realistic and the architecture stays operable. That is what we mean by owning the platform rather than delivering a scope document.

Full-stack ownership

One team accountable from the infrastructure up. Nothing falls between vendors.

  1. Infrastructure

    AWS architecture, IaC, CI/CD, monitoring and cost control. Multiple AWS-certified engineers on the team.

  2. Backend

    APIs, data models, integrations and the migrations that keep them working as the product changes.

  3. Frontend

    Web and mobile interfaces built against the same APIs we designed, so the contract is never guessed at.

Weekly releases, zero downtime

We release every week behind feature flags, with migrations designed to run live. You see progress in production, not in a status report.

  • A release every week
  • Feature flags
  • Live migrations
  • Zero downtime

Where AI fits

We use AI to remove the slow parts of engineering, not to replace the judgement. Every line still goes through a senior review.

  1. Specs and acceptance criteria

    AI drafts tickets and acceptance criteria from your requirements; an engineer edits them before anything is built.

  2. AI pair development

    Engineers work with AI assistants on implementation, which shortens the distance between a decision and a working branch.

  3. AI plus senior review

    Automated review catches the mechanical problems first, so human review time goes to design and correctness.

Read how AI-Native Engineering works →

Want to see how this would work for your product?

Book a call and we will go through your architecture, your constraints and what the first ninety days would look like.Book a technical consultationCommunitech member? See our Pro Squad office hours and free platform review.
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