How fast can the pod start?

Within 24 hours of greenlight after a 3-day free trial. The trial runs against a real scoped task, so you see the engineering depth before you sign anything. Replacement is free within 14 days if the fit is wrong.

Devlyn AI · GraphQL

GraphQL pods, owned by us. Embedded with you.

Senior GraphQL engineers under one retainer, with AI-augmented workflows that compress 100 hours of typical work to 25. Deployed in 24 hours.

Where $GraphQL fits

GraphQL pods typically ship unified data graphs across microservices (Apollo Federation), high-performance BFF (Backend-For-Frontend) layers, real-time subscription architectures, and complex data-fetching layers for React/Next.js frontends. Devlyn engineers ship highly optimized resolvers solving the N+1 problem, strict schema governance, and robust caching strategies.

AI-augmented GraphQL workflows leverage Cursor for rapid schema definition, resolver scaffolding, and TypeScript type-generation integration — under senior validation that owns the query complexity analysis, DataLoader implementation for batching, and security posture (depth limiting, rate limiting). Compression is strongest in bridging legacy REST APIs into a unified GraphQL layer.

GraphQL engagements typically run as a two-engineer pod (one frontend, one backend) for $8,000–$14,000/month, ensuring the schema design perfectly serves the client needs while remaining performant against the database. This scales to larger pods for enterprise Federation rollouts.

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Where GraphQL pods land today

Six combinations that show up most often in the last few quarters of GraphQL discovery calls — vertical, geography, and the named-risk pattern each engagement designed around.

GraphQL · B2B SaaS · New York

GraphQL for B2B SaaS in New York

The most common 2026 B2B SaaS engineering trap is integration-first roadmaps that fragment the codebase into per-customer hacks and one-off webhook handlers, creating a maintenance debt spiral that slows all future feature work. GraphQL pods compress the work — graphql pods typically ship unified data graphs across microservices (apollo federation), high-performance bff (backend-for-frontend) layers, real-time subscription architectures, and complex data-fetching layers for react/next. On the Eastern (ET) calendar, fte-only paths to scale engineering in nyc routinely run 2–3 quarters behind the roadmap.

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GraphQL · B2B SaaS · San Francisco

GraphQL for B2B SaaS in San Francisco

The most common 2026 B2B SaaS engineering trap is integration-first roadmaps that fragment the codebase into per-customer hacks and one-off webhook handlers, creating a maintenance debt spiral that slows all future feature work. GraphQL pods compress the work — graphql pods typically ship unified data graphs across microservices (apollo federation), high-performance bff (backend-for-frontend) layers, real-time subscription architectures, and complex data-fetching layers for react/next. On the Pacific (PT) calendar, fte hiring in sf has slowed structurally since 2024 layoffs but compensation expectations have not.

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GraphQL · B2B SaaS · Los Angeles

GraphQL for B2B SaaS in Los Angeles

The most common 2026 B2B SaaS engineering trap is integration-first roadmaps that fragment the codebase into per-customer hacks and one-off webhook handlers, creating a maintenance debt spiral that slows all future feature work. GraphQL pods compress the work — graphql pods typically ship unified data graphs across microservices (apollo federation), high-performance bff (backend-for-frontend) layers, real-time subscription architectures, and complex data-fetching layers for react/next. On the Pacific (PT) calendar, la's hiring funnel competes with sf for senior talent at lower compensation envelopes.

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GraphQL · B2B SaaS · Boston

GraphQL for B2B SaaS in Boston

The most common 2026 B2B SaaS engineering trap is integration-first roadmaps that fragment the codebase into per-customer hacks and one-off webhook handlers, creating a maintenance debt spiral that slows all future feature work. GraphQL pods compress the work — graphql pods typically ship unified data graphs across microservices (apollo federation), high-performance bff (backend-for-frontend) layers, real-time subscription architectures, and complex data-fetching layers for react/next. On the Eastern (ET) calendar, boston fte pipelines run 4–6 months for senior backend roles.

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GraphQL · B2B SaaS · Chicago

GraphQL for B2B SaaS in Chicago

The most common 2026 B2B SaaS engineering trap is integration-first roadmaps that fragment the codebase into per-customer hacks and one-off webhook handlers, creating a maintenance debt spiral that slows all future feature work. GraphQL pods compress the work — graphql pods typically ship unified data graphs across microservices (apollo federation), high-performance bff (backend-for-frontend) layers, real-time subscription architectures, and complex data-fetching layers for react/next. On the Central (CT) calendar, chicago fte hiring runs 3–5 months for senior roles with reasonable base salaries vs coast hubs.

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GraphQL · B2B SaaS · Seattle

GraphQL for B2B SaaS in Seattle

The most common 2026 B2B SaaS engineering trap is integration-first roadmaps that fragment the codebase into per-customer hacks and one-off webhook handlers, creating a maintenance debt spiral that slows all future feature work. GraphQL pods compress the work — graphql pods typically ship unified data graphs across microservices (apollo federation), high-performance bff (backend-for-frontend) layers, real-time subscription architectures, and complex data-fetching layers for react/next. On the Pacific (PT) calendar, seattle fte pipelines compete with faang-tier salaries that startup budgets cannot match.

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What GraphQL depth at Devlyn looks like

Common use cases

AI-augmented angle

Engagement shape & pricing

Ecosystem fluency

GraphQL ecosystem depth covers Apollo Server/Client, Apollo Federation for microservice architectures, Hasura/PostGraphile for auto-generated database APIs, GraphQL Yoga, Relay for complex React applications, and GraphQL Code Generator for end-to-end type safety.

Real outcomes

Calenso · Switzerland

4× productivity

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

Creator.ai

6 weeks → 1 week

6× faster delivery, 2× output per engineer, 50% leaner team.

Klaviss · USA

$4,800/mo pod

Two engineers + PM + shared DevOps. Real-estate platform overhaul shipped in 8 weeks.

Haxi.ai · Middle East

AI engagement at scale

Real-time, context-aware AI conversations across platforms — spec to production by one pod.

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Verticals where GraphQL ships well

GraphQL pods most often run engagements in the verticals below. Each links through to a vertical-level hub with named risks, compliance posture, and key metrics.

Metros where GraphQL pods deploy

Hand-picked cities where GraphQL engagements show up most. Each city has its own time-zone alignment and hiring-climate notes on the metro hub.

Common questions about GraphQL engagements

What does a GraphQL pod actually own end-to-end?

Architecture, security review, and the GraphQL-specific patterns that production-grade work requires. GraphQL pods typically ship unified data graphs across microservices (Apollo Federation), high-performance BFF (Backend-For-Frontend) layers, real-time subscription architectures, and complex data-fetching layers for React/Next.js frontends. Devlyn engineers ship highly optimized resolvers solving the N+1 problem, strict schema governance, and robust caching strategies.
How does AI-augmented GraphQL differ from a single contractor using AI tools?

AI-augmented GraphQL workflows leverage Cursor for rapid schema definition, resolver scaffolding, and TypeScript type-generation integration — under senior validation that owns the query complexity analysis, DataLoader implementation for batching, and security posture (depth limiting, rate limiting). Compression is strongest in bridging legacy REST APIs into a unified GraphQL layer. The 4× compression comes from pod-level workflow design, not from individual tool adoption.
What does a GraphQL engagement typically cost?

GraphQL engagements typically run as a two-engineer pod (one frontend, one backend) for $8,000–$14,000/month, ensuring the schema design perfectly serves the client needs while remaining performant against the database. This scales to larger pods for enterprise Federation rollouts.
Which GraphQL ecosystem libraries does Devlyn cover?

GraphQL ecosystem depth covers Apollo Server/Client, Apollo Federation for microservice architectures, Hasura/PostGraphile for auto-generated database APIs, GraphQL Yoga, Relay for complex React applications, and GraphQL Code Generator for end-to-end type safety.
How fast can the pod start?

Within 24 hours of greenlight after a 3-day free trial. The trial runs against a real scoped task, so you see the engineering depth before you sign anything. Replacement is free within 14 days if the fit is wrong.

When the next move is a conversation

Book a 30-minute discovery call. We will scope a GraphQL pod against your roadmap and timeline. No contracts. No commitment. Or run the Pod ROI Calculator against your current vendor's burn first.