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Services

Eight things we do well, and the situation each one is actually for. If your problem is not on this list, we will tell you rather than sell you.

00 Engagement models

Dedicated Team

Monthly per engineer

You direct a pod that works only on your product. Highest context, lowest coordination cost over time.

Staff Augmentation

Hourly or monthly

Engineers inside your team, under your process. Fastest to start, needs your management capacity.

Fixed Scope

Fixed price, fixed deliverable

Only offered when the requirement is genuinely stable. We will say so when it is not.

01 Service

Dedicated Teams

A pod that works only on your product, sits in your rituals, and appears on your board.

Best when the roadmap runs longer than six months and you want the team to accumulate context.

What you get

  • Three to eight engineers, selected against your stack, not our bench
  • A tech lead who is accountable for delivery, not a project manager who is accountable for reporting
  • Your tools, your repository, your definition of done
  • Monthly rate per engineer, thirty days notice, no exit fee
02 Service

Staff Augmentation

Individual engineers embedded in your existing team, reporting to your leads.

Best when you know exactly which skill is missing and your process already works.

What you get

  • One engineer or five, ramped in against your onboarding
  • You run the standups, the reviews, and the priorities
  • Replace within thirty days at our cost if the fit is wrong
  • Hourly or monthly, whichever suits your finance team
03 Service

Product Engineering

Discovery through launch, where we own the outcome rather than the ticket queue.

Best when the idea is clear, the path is not, and you have no engineering leadership yet.

What you get

  • Discovery sprint that ends with a scope, an estimate, and the risks written down
  • Architecture decided with you, documented, and revisited when it stops fitting
  • Continuous delivery from week one, so nothing accumulates unreleased
  • Handover pack that assumes we will not be here forever
04 Service

Legacy Modernisation

Strangle the monolith without stopping the business that depends on it.

Best when a rewrite has been proposed twice and rejected twice, for good reason.

What you get

  • Read the system before touching it, and write down what it actually does
  • Carve out seams, route traffic gradually, keep a rollback for every step
  • Characterisation tests before refactors, never after
  • A migration plan measured in reversible increments
05 Service

Cloud and DevOps

Infrastructure as code, pipelines that nobody dreads, and deployments that stop being events.

Best when releases have become risky, slow, or both.

What you get

  • Terraform modules you can read, own, and change without us
  • Kubernetes only where it earns its complexity
  • Cost review as a standing item, not a panic in December
  • Observability before scale, because you cannot fix what you cannot see
06 Service

QA and Automation

Test suites that catch regressions before your users volunteer to.

Best when your team is afraid to deploy on a Friday.

What you get

  • A test pyramid weighted where the risk actually lives
  • Contract tests between services, so integration failures surface in CI
  • Playwright for the paths that make money
  • Flaky tests treated as defects, not as weather
07 Service

API and Integrations

Make systems that were never designed to talk to each other do so reliably.

Best when a partner integration keeps breaking and nobody can say why.

What you get

  • Idempotency, retries, and dead letter handling as defaults
  • Contracts documented and versioned before code is written
  • Rate limits and backpressure treated as design inputs
  • Failure modes rehearsed, not discovered
08 Service

Maintenance and Support

Coverage for products already in production, with humans who know the codebase.

Best when the build is done and the fear is what happens at two in the morning.

What you get

  • Defined response and resolution targets, in writing
  • The same engineers on support who wrote the code, wherever possible
  • Runbooks kept current because they are used, not audited
  • A monthly note on what broke and what was done about it
09 Team shapes

What a pod actually looks like

We do not staff by title alone. These are the shapes that have worked, and we will tell you when your problem needs a different one.

Product Pod

5 to 6 people
Tech Lead1
Backend Engineer2
Frontend Engineer1
QA Automation1
Business Analyst0.5

Platform Pod

3 to 4 people
Platform Lead1
DevOps Engineer2
Site Reliability1
Security Reviewshared
00 Next step

Tell us what you are building. We will tell you what it takes.

No sales script. A working engineer reads your brief and replies with a scope, a team shape, and an honest estimate.