Home / Nearshoring in the AI era

AI coding agents don't replace your team.
They change its shape.

Fewer people, more senior, working with agents every day. That's the team most software companies need now, and it's what we put in place: senior engineers from Spain in your team within weeks, who stay.

The short answer
2–4wk
To a live engineer
5yr+
Senior, minimum
Yes, you still need engineers. Fewer, and more senior.
Agents write code. Seniors own architecture, review and production.
Juniors plus agents means more code and more risk.
Same time zone, one Swiss contract, engineers who stay.
The question everyone is asking

Do I still need a nearshore team if we use AI coding agents?

Usually yes, but a different one. Agents like Claude Code, Cursor or Copilot are very good at bounded, well-specified work. They are not good at deciding what to build, how the pieces fit together, or what happens when it breaks in production.

So the question isn't team or agents. It's which team works best with agents. The answer, for most product companies with 20 to 250 people: a small group of senior engineers who direct agents, review everything they produce and stay long enough to know the system.

✓
Agents are great at bounded tasks
Tests, migrations, refactors, boilerplate and documentation get done in a fraction of the time.
✕
They don't decide what to build or how it fits together
Architecture, trade-offs, security and product judgment stay with people.
✕
They don't carry context from one quarter to the next
Someone has to own the system, know why it's built that way and be there when it breaks.
The trade-off

A smaller senior team plus AI, or a larger nearshore team?

With agents in the workflow, output per person goes up and coordination becomes the bottleneck. That shifts the balance towards fewer, more senior people.

Small senior team + AI agentsLarger mixed nearshore team
Output per personHigh: agents do the bounded workLower: more hand-offs
Review & ownershipEvery change reviewed by a named seniorSpread thin across many juniors
CoordinationFew people, fast decisionsMore meetings, more management
Knowledge retentionStays with a stable core teamLost with every rotation
Risk with AI-generated codeCaught in reviewGrows with volume
Best forProduct companies, evolving roadmapsLarge, well-specified backlogs, 24/7 operations

A larger team still makes sense for big, well-specified backlogs, round-the-clock operations or a lot of manual QA. If that's your situation, we'll tell you on the first call.

How we work

How our engineers work with agents.

AI across the workflow, always under senior review. More on spec-first AI development →

01
Spec first
The engineer writes the spec and acceptance criteria before an agent writes a line.
02
Agents for the bounded work
Tests, migrations, refactors, boilerplate and documentation, done fast and checked.
03
Human review on every merge
A named senior engineer reviews, hardens and owns what ships.
04
Your rules on data and IP
Agents run under your tooling and policies. Your code is yours by contract and is never used to train public models.
FAQ

Questions buyers ask about AI and nearshoring.

Short, honest answers. If yours isn't here, ask us on a call.

Do I still need a nearshore team if we use AI coding agents?
Usually yes, but a different one. Agents take over bounded tasks; they don't own architecture, security or production. What changes is the shape of the team: fewer, more senior engineers who direct agents and review their output. A large, junior-heavy team becomes less valuable; a small senior one becomes more valuable.
Is a smaller senior team plus AI better than a larger nearshore team?
For most product companies with 20 to 250 people, yes: less coordination, faster decisions and one person who understands each part of the system. A larger team still makes sense for big, well-specified backlogs or round-the-clock operations.
What do AI agents change in staff augmentation?
You are buying judgment, not hours. The value of an embedded engineer is now how well they specify, review and own work done with agents. That is why we only place engineers with 5+ years of experience, and why retention matters more than ever: context is what makes agents useful.
Who owns and reviews code written by AI agents?
Your company owns it by contract. A named senior engineer reviews every change before it is merged and is accountable for it, exactly like hand-written code.
Does AI make junior developers obsolete?
Not obsolete, but riskier without senior oversight. Juniors with agents produce a lot of code quickly. Without a senior to review it, problems surface later and cost more to fix.
Can apeirum build AI agents for our product or internal processes?
Yes, through our AI Engineering service, from RAG over internal knowledge to agents in customer support. We built and run our own SaaS, Mola, the same way.

Let's find out if we're a good fit.

No pitch. A 20-minute call about your team, your roadmap and where agents actually help. You'll hear from Anja directly.

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