Delivered client work
Health app co-developed for a Sydney startup that went on to a California Series A
A consumer-facing health app on Google Cloud infrastructure, designed from day one for a high-volume user base.
Read the case studyProduct and technology leaders
The roadmap has outgrown the team. We add senior engineers to it.
When your seniors are absorbed by maintenance, a key engineer has left or a major initiative lands on a full team, we add senior engineers who work in your repository, tooling and rituals. Practical delivery on the problems your team has no time for, not architecture advice from the sidelines, and the knowledge stays when we go.
Your team keeps
- The roadmapYour priorities
- Product decisionsYour call
Your way of working
Where the added engineers work
- Your repository
- Your tooling
- Your rituals
- Documented
Senior engineers take on
- Roadmap workThe item that keeps waiting
- Hard problemsBeyond the team's time
Named engineers, and a handover your team can carry forward.
01 / When it comes up
The situations that bring technology leaders to us.
Usually more than one at once. Any of them is a reason to talk.
- The roadmap has grown faster than the team, and product opportunities are waiting on engineering capacity.
- Your senior engineers spend their weeks on maintenance and production problems instead of the roadmap.
- A key engineer has left, and too much of what they knew was never written down.
- Hiring senior engineers is slow and competitive, and the work cannot wait for the search to finish.
- A major new product or capability has to be built while the existing product keeps moving.
- AI tools have sped up delivery, and exposed engineering or governance problems nobody owns yet.
What has to hold
- Quality, security and the customer experience cannot be traded for speed.
- The people you add need to understand the product, not only the code.
- Another permanent senior hire is hard to justify for the work in front of you.
- When something breaks, you are the one who answers for it.
02 / Where we help
Practical delivery, not advice from the sidelines.
Three kinds of work, each done inside your team's delivery rather than handed over as a recommendation.
Senior engineering alongside your team
Senior engineers join your delivery on the work your team has no time for: a stalled roadmap item, a hard technical problem, a new capability. They work in your repository, follow your standards and take part in your rituals.
Product engineeringAI product engineering
When AI is part of the product: architecture, an evaluation harness and model portability first, so the team can tell whether each release made the feature better and the product outlasts the model it was built on.
AI product engineeringModernisation where the estate is the blocker
When ageing systems or old frameworks are what slow the roadmap, we modernise the part that blocks the work, in stages, with a rollback approach agreed for each one.
How we modernise
Where your team ships AI features or integrations, the same controls on what AI may do apply. For the integration layer itself, see APISIX, WSO2 and choosing between them.
03 / How it works
Agreed first, done inside your delivery.
The same four steps whatever the size of the work. You decide what comes next once you have seen the first piece.
- 01
A Fit call about the problem.
A senior engineer talks it through with you. If it is not work we should take on, we say so and suggest who you should talk to instead.
- 02
Agree the scope, the shape and the people.
We agree what the work covers, how it fits around your team and who is doing it, in writing, before anything starts. Three shapes: an embedded, forward-deployed engineer in your team; a fixed-scope workstream, delivered against an agreed scope and handed over; or a fractional architect or technical lead for part of each week.
- 03
Work inside your delivery.
Your repository, your tooling, your backlog and your rituals. Changes go through the same review and release process as your own team's.
- 04
Leave the knowledge behind.
Documentation, written decisions and a handover that lets your team carry the code forward, with any support afterwards agreed before the work starts.
04 / What we hear most
Six fair questions about adding outside engineers.
“We already have an engineering team.”
Good. We are not a replacement for it. We add senior capacity on the problems your team does not have time for, in your repository, tooling and rituals, and your team keeps the roadmap.
“Bringing someone in will disrupt the team.”
Onboarding has a cost, so we keep it on our side: we learn your codebase, standards and ways of working rather than asking your team to learn ours. Nothing larger is agreed until you have seen how we work on something real.
“We will lose control, or the knowledge will leave with you.”
Documentation and handover are part of every engagement, not an extra. Decisions are written down, the code lives in your repository, and the handover lets your team carry it forward when we step back.
“An outside team will not understand our product.”
We start by learning the product, its customers and why it is built the way it is, before we change it. You stay the authority on the product; we bring senior engineering judgement to it.
“Who is accountable when something breaks?”
Named people. You know which senior engineers are doing the work, and support coverage and response targets are agreed for each engagement before it starts, so nobody is working out who answers once something has gone wrong.
“We have been burnt by external developers before.”
That usually happens when the work is done somewhere the team cannot see it. Ours happens in your repository, through your review process, by senior engineers you can name, and we would rather say on the first call that something is not a fit than take it on.
05 / Evidence
A product we delivered, and work under way.
A completed consumer health app built for a high-volume user base, and governed AI access to a SaaS platform that is still in progress, described by its aims rather than results.
Client work in progress
Governed AI access to an Australian SaaS platform (MCP server estate)
Making the platform's capabilities available to AI agents through Model Context Protocol (MCP) servers, built on open foundations, with access governed at the integration layer.
Read the case study
All published work, delivered and in progress, is on case studies.
Common questions
Before you bring us in.
Do you only advise, or do you write the code?
We write the code. We will contribute to the architecture where it helps, but the point is practical delivery alongside your team: changes in your repository, reviewed and released the way your team releases.
Do you use AI tools to write code?
Yes, where they help, and a senior engineer stays responsible for every change. AI tools speed up parts of the work. They do not replace the judgement about what to build and whether it is right.
Can you work with our stack and tooling?
We work in your repository and tooling rather than bringing our own. If the work needs experience we do not have, we tell you on the Fit call.
What happens when the engagement ends?
Your team carries the work forward. Documentation, written decisions and a handover are part of every engagement, and any support afterwards is agreed before the work starts.
How is the work priced?
In a written proposal that sets out the scope, the people, deliverables, assumptions, timelines and fees, agreed before work starts.
Roadmap waiting on capacity?
Tell us what the team has no time for.
Bring the roadmap item, the technical problem or the gap a departure has left. We will tell you whether we are the right people for it and what the first piece of work would be.