› TEAM INTEGRATION
Engineering squads, embedded in your team.
Rails, Python and Node engineers joining your codebase, your standups and your roadmap — sized to what you actually need. Senior-led, with the mix of levels you'd expect on a real product team. We build AI-accelerated by default: tooling does the mechanical work, senior engineers own architecture, code quality and every decision that matters.
12yrs Avg. senior-layer experience
100% Senior review before merge
1:squad Dedicated tech lead, not shared
~2wks From signed MSA to first PR
AI-accelerated by default. Hand-written only where it matters.
Our engineers don't type production code line by line when a tool can do it faster. AI handles the mechanical work — boilerplate, scaffolding, refactors, tests, routine reviews — so senior time goes to the things a model can't do: architecture, trade-offs, code quality, and knowing when to say no.
› 01
Tooling first, keyboard second.
Every engineer works with Claude Code, Cursor, Copilot or whichever AI stack your team has standardised on — in the loop from day one. If a task can be driven by tooling, it is; manual work is a conscious choice, not a default.
› 02
Senior review on everything that ships.
Generated code is treated as a draft. Architecture, design, trade-offs and final review stay human and senior — the things a model still can't do well, we don't let it do.
› 03
Faster delivery, smaller teams.
The work a traditional team ships in weeks often lands in days. That usually means fewer engineers on your side of the table — which is easier to integrate, easier to communicate with, and cheaper than it looks.
workflow.default // senior × tool
› BOILERPLATE, SCAFFOLDING, CRUD
typed by hand → generated, then reviewed
› REFACTORS, MIGRATIONS, TESTS
multi-day tickets → driven in hours, supervised
› ARCHITECTURE, TRADE-OFFS, DESIGN
senior engineers, still hand-made.
› TOOLING IN DAILY USE
Claude Code Cursor Copilot Or your stack Internal evals
Enterprise AI tooling runs on your corporate licenses, not ours. We work within the stack you already have — and can help evaluate or roll out new tools if useful. What we bring is the workflow, not the subscription.
Traditional
ticket→ engineer→ boilerplate→ logic→ tests→ review→ PR ~5 days
› Our default
ticket→ senior × tool→ boilerplate logic tests→ senior review→ PR ~1 day
How this is different from staff augmentation.
We're often compared to staff-aug vendors in procurement. We're not one — and the difference matters mostly in how the work lands, not in how we sell it. Five dimensions where the two models diverge in practice.
DIMENSION TYPICAL STAFF-AUG VENDOR › HOW WE OPERATE
› UNIT OF WORK Individual CVs placed into open seats, billed by the hour. A small squad working as one team, with a tech lead accountable for delivery.
› TEAM SHAPE Individual contractors matched to open seats. The senior you meet in sales is rarely the one on the keyboard. A senior-led squad with the level mix of a real product team. The people you interview are the people doing the work.
› AI TOOLING Often mentioned in sales; inconsistently used on the ground. Part of the daily workflow. Used to accelerate the mechanical parts of the work — with human review on architecture and code.
› SCOPE OF INFLUENCE Tickets delivered against a plan someone else owns. Delivery inside your plan — with engineers willing to push back on scope when the data says so.
› EXIT Engagement ends when the PO runs out; knowledge often leaves with the team. Handover baked in from day one: runbooks, docs and a joint retrospective before we off-board.
When this tends to be a good fit.
Three situations where teams usually come to us. If none of these sound familiar, there's probably a better option than us — and we'll tell you.
› 01HIRING GAP
Senior roles you've been trying to fill for months.
Senior Rails, Python or Node engineers are slow to hire in NY and Boston, and expensive when you do. A small embedded squad lets you keep shipping while the search runs — and often replaces it, quietly.
Typical: 3+ senior reqs open > 45 days
› 02TIME-BOUND PUSH
A 6–18 month push where permanent hiring doesn't pencil out.
A product launch, a new market, a migration, a post-acquisition integration. You need senior capacity now, and you don't want the headcount after. This is the shape the model was built for.
Typical: launch, migration, or M&A integration
› 03SCARCE SKILLS
Real depth in Rails, Python or Node — at a pace your team expects.
Deep Rails and Python experience at scale is genuinely scarce in the US market right now. Pair senior leads with an AI-accelerated delivery model and the pace tends to match what modern teams expect — often in less calendar time than traditional hiring could deliver.
Typical: streaming, payments, high-throughput APIs
› 04WHEN IT ISN'T
Where we're usually not the right call.
If your primary stack is Java, .NET, Go or Scala, we're not the deepest bench for you. If you need 20+ engineers on week one, or offshore-level rates, other vendors are a better match. We'll say so.
Honest: we turn down ~1 in 3 opportunities
How this lands inside an engineering org.
18yrs
SHIPPING FOR ENGINEERING ORGSNY OFFICE FOR MEETINGS
30-DAY OFF-RAMP
Embedded inside engineering teams that already exist — not replacing them.
› EMBEDDED ALONGSIDE TEAMS AT MicrosoftL'OréalVodafoneBroadcom
From signed MSA to first PR in about two weeks.
Nothing heroic — just the shape of how a squad actually lands inside your team. Mileage varies with access, onboarding docs and the state of your codebase.
› DAY 0–3
Paperwork & access.
MSA, NDA, background checks. Repo, issue tracker, Slack, staging access provisioned.
› WEEK 1
Kickoff & context.
Tech lead + squad join standups. Codebase walkthrough, architecture review, first small tickets picked up.
› WEEK 2
First PR in production.
A real change lands behind review. Usually unblocking work your team has been carrying.
› WEEK 3–4
Full velocity.
Squad owns a workstream end-to-end. Quarterly outcomes agreed with your PM.
› QUARTERLY
Review & adjust.
Outcome review, squad shape adjusted, 30-day off-ramp always on the table.
How the engagement is structured.
The practical shape of how we contract, price and off-board. Nothing unusual — written out so procurement doesn't have to guess.
› SHAPE
Embedded squad sized to the work, senior-led, with a tech lead accountable for delivery. Your PM owns priorities and the roadmap.
› COMMITMENT
6 months12 months18 monthsRolling, reviewed quarterly, with a 30-day off-ramp at any point.
› PRICING
Monthly fee per engineer, all-in. Includes tech-lead time. The AI tooling runs on your corporate licenses — we work within the stack you already have, and can help evaluate or roll out new tools if that's useful. Because the model is AI-accelerated, teams are usually smaller than a traditional headcount estimate — which keeps the monthly envelope sensible.
› HOW WE WORK
Inside your repo, your issue tracker and your standups. Live in your standups and reviews, with a New York office for in-person meetings when useful. Quarterly reviews against the outcomes you care about.
› IP & CODE
All code and work product is yours. Standard US MSA with full assignment; NDAs and DPAs available on day one.
› KNOWLEDGE TRANSFER
Working alongside us, your engineers see the AI-accelerated workflow up close. The ones who want to adopt it, do — and keep the playbook after we off-board. Your team picks it up.
› OFF-BOARDING
A 30-day handover at the end: runbooks, onboarding notes for your next hires, and a joint retrospective. Nothing walks out with us.
Where our bench is actually deep.
We're honest about this. Rails, Python and Node are where we've spent the last 18 years — the rest we either support well or recommend someone else for.
› BACKEND — CORE
DEFENSIBLE SENIORITY Ruby on RailsPython · DjangoPython · FastAPINode.js · TypeScriptPostgreSQLSidekiq / Celery
› FRONTEND
PRIMARY React · Next.jsTypeScriptHotwire / TurboTailwind
› INFRA
SUPPORTING AWSGCPHerokuDocker / k8sTerraform
// Stacks we won't pretend to lead: Java/Spring, .NET, Go, Scala, PHP. Happy to point you elsewhere.
Things teams usually ask before signing.
What does "AI-accelerated" actually mean in practice?
Our engineers use Claude Code, Cursor and similar tools — or whichever AI stack your team has standardised on — as part of the normal workflow, for boilerplate, refactors, migrations, tests and routine reviews. Enterprise tooling runs on your corporate licenses; we bring the workflow, not the subscription. Senior engineers own architecture, design and final code review; the tooling handles the mechanical work that used to eat days. The net is the same code quality you'd expect from a senior team, shipped faster. We don't claim AI writes the code for us, and we don't quote productivity multipliers in sales — buyers we respect tend to distrust those.
Where is the team based?
We have offices in New York and Lisbon. In practice: live standups and reviews in your working hours, with most of our clients on the East Coast.
Who owns the code and the IP?
You do, from the first commit. Standard US MSA with full assignment of work product. NDAs, DPAs and background-check documentation available on request from day one.
How quickly can a squad start?
Typically about two weeks from signed MSA to first PR, depending on access, onboarding docs and the state of your codebase. Full velocity by week three or four.
What happens if it isn't working?
30-day off-ramp at any point in the engagement. We'd rather end a bad fit early than bill through it; it's rare, but it happens, and we'd rather you hear it from us first.
Think this might fit your situation?
Tell us what you're trying to ship, what your stack looks like and what you've already tried. A 30-minute call is usually enough for both sides to know whether it's worth a second conversation.