What is the difference between a Dedicated Developer and an Engineering Pod?

A Dedicated Developer is a single senior engineer embedded in your existing team — your standups, your repos, your PM. An Engineering Pod is a multi-engineer team (3–5 engineers) that owns an entire lane end-to-end: architecture, DevOps, QA, and shipping cadence under one retainer. Choose a Dedicated Developer when you need throughput on an existing team. Choose a Pod when you need a lane owned autonomously.

When should we consider a GCC instead of scaling Pods?

When headcount exceeds 15–20 engineers and the work is permanent rather than project-scoped. At that scale, a captive engineering centre (GCC) delivers 50–70% cost savings versus US-market FTE compensation, stronger IP protection, and better talent retention than a pod model. Devlyn manages the GCC setup and transitions ownership to your org over 12 months.

Can we start with one model and transition to another?

Yes — and most clients do. The typical path is: start with a Dedicated Developer to validate fit, scale to a Pod when the lane needs autonomous ownership, then transition to a GCC when permanent capacity makes economic sense. Each transition is a retainer adjustment, not a new vendor onboarding cycle.

How does pricing work across models?

Dedicated Developers: from $15/hour or $2,500/month. Engineering Pods: from $7,500/month for a 3-person team. GCC: custom-priced based on headcount, geography, and operational scope. All models include AI-augmented workflows that compress output by 4× versus traditional engagements.

Devlyn AI · Engagement models

One engineer. A pod. A captive centre. Choose the shape that fits the work.

Most engineering bottlenecks aren't a headcount problem. They're a work-shape problem. Devlyn offers three engagement models — each designed for a different stage of engineering scale.

Dedicated Developer

One senior engineer, embedded in your team, shipping from day one.

Dedicated Developer engagements fit best when your in-house team has clear architectural direction and PM coverage but needs additional senior-level throughput to hit quarterly milestones. Common scenarios include a Series B team that needs to ship an enterprise feature set before the next board meeting, a CTO who lost a senior engineer mid-quarter and needs a replacement productive within days rather than months, or a platform team that needs a specialist in a specific stack for a time-bounded initiative without committing to a permanent headcount increase..

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Engineering Pod

A cohesive team that owns your lane — architecture, shipping, and compliance under one retainer.

Engineering Pod engagements fit best when the work shape is 'own this lane' rather than 'add throughput to an existing team.' Common scenarios include a CTO who needs an entire product vertical built and shipped — authentication, API, dashboard, integrations, DevOps — without hiring 8 individual engineers and a PM. A VP Engineering who wants to carve out a compliance-heavy initiative (fintech ledger, healthtech HIPAA surface, govtech FedRAMP boundary) and give it to a team that owns the compliance overhead instead of the in-house team absorbing it.

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Global Capability Centre

A captive engineering centre that becomes part of your org — built by Devlyn, owned by you.

GCC engagements fit companies that have validated their engineering model with Devlyn pods and are ready to build permanent, captive engineering capacity in a cost-advantaged geography. Common scenarios include a Series D or growth-stage company that needs 20+ engineers but cannot afford US-market compensation for the entire team.

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Compare models

	Dedicated Dev	Pod	GCC
Team size	1 engineer	3–5 engineers	10–50+ engineers
Owns architecture	Your team	Pod	GCC
Compliance burden	Your team	Pod	GCC
Starting price	$2,500/mo	$7,500/mo	Custom
Ramp time	24 hours	7–14 days	2–3 months
IP ownership	Client	Client	Client (subsidiary)
Best for	Add throughput	Own a lane	Build a centre

Real outcomes

Calenso · Switzerland

4× productivity

5,000+ integrations after AI-augmented engineering replaced manual workflows.

Creator.ai

6 weeks → 1 week

6× faster delivery, 50% leaner team.

Klaviss · USA

$4,800/mo pod

Real-estate platform overhaul shipped in 8 weeks.

Haxi.ai · Middle East

AI at scale

Real-time AI conversations — spec to production by one pod.

Common questions

What is the difference between a Dedicated Developer and an Engineering Pod?

A Dedicated Developer is a single senior engineer embedded in your existing team — your standups, your repos, your PM. An Engineering Pod is a multi-engineer team (3–5 engineers) that owns an entire lane end-to-end: architecture, DevOps, QA, and shipping cadence under one retainer. Choose a Dedicated Developer when you need throughput on an existing team. Choose a Pod when you need a lane owned autonomously.
When should we consider a GCC instead of scaling Pods?

When headcount exceeds 15–20 engineers and the work is permanent rather than project-scoped. At that scale, a captive engineering centre (GCC) delivers 50–70% cost savings versus US-market FTE compensation, stronger IP protection, and better talent retention than a pod model. Devlyn manages the GCC setup and transitions ownership to your org over 12 months.
Can we start with one model and transition to another?

Yes — and most clients do. The typical path is: start with a Dedicated Developer to validate fit, scale to a Pod when the lane needs autonomous ownership, then transition to a GCC when permanent capacity makes economic sense. Each transition is a retainer adjustment, not a new vendor onboarding cycle.
How does pricing work across models?

Dedicated Developers: from $15/hour or $2,500/month. Engineering Pods: from $7,500/month for a 3-person team. GCC: custom-priced based on headcount, geography, and operational scope. All models include AI-augmented workflows that compress output by 4× versus traditional engagements.

Not sure which model fits

Book a 30-minute discovery call. We will scope the work shape and recommend the right engagement model. Most clients start with a single engineer and scale from there.