Companies that use AWS Cloud Development Kit

Source: Analysis of Linkedin bios of 73 companies that use AWS Cloud Development Kit

I noticed these companies fall into three distinct camps: cloud-native consultancies helping others modernize (1CloudHub, Cevo, fourTheorem, globaldatanet), software product companies building SaaS platforms (Jungle Scout, Smartcar, TetraScience, Insurello), and surprisingly, a significant number of nonprofits and government agencies managing complex data operations (Australian BioCommons, Child Poverty Action Lab, Last Mile Health, Gemeente Nijmegen). What unites them is they're all building infrastructure-heavy applications that need to scale reliably while managing costs.

These companies skew toward the 11-200 employee range, with most clustering around 20-80 people. They're past the garage startup phase but still in active growth mode. The funding signals are mixed: some have raised Series A or B rounds (TetraScience with $80M, Jungle Scout with $110M), but many bootstrapped consultancies show no external funding at all. What matters more than funding stage is technical maturity. These teams have senior engineers who understand infrastructure as code and need programmatic control over AWS resources.

Source: Analysis of tech stacks from 73 companies that use AWS Cloud Development Kit

I noticed that AWS CDK users are overwhelmingly developer-centric organizations with mature engineering practices and a strong emphasis on automation. The presence of tools like Terraform, GitHub Actions, Dependabot, and CircleCI tells me these companies treat infrastructure as a first-class engineering concern. They're likely building cloud-native products or platforms where infrastructure complexity demands programmatic management rather than manual configuration.

The pairing of AWS CDK with Terraform is particularly revealing. While these tools overlap in functionality, their co-existence suggests companies dealing with multi-cloud environments or teams transitioning from one tool to another. They're sophisticated enough to use the right tool for specific contexts rather than forcing everything into one framework. The extremely high correlation with Dependabot and GitHub Actions points to teams obsessed with keeping dependencies current and automating their deployment pipelines. These aren't companies manually deploying code on Fridays. They've invested in continuous delivery practices. Claude Code's strong presence suggests these teams are adopting AI-assisted development early, likely to help manage the complexity that comes with infrastructure-as-code.

The full picture reveals product-led companies in growth or scale-up stages. They're investing heavily in developer productivity and automation because their infrastructure complexity has reached a point where manual processes don't scale. These aren't early-stage startups cobbling together their first MVP, nor are they enterprise giants locked into legacy tooling. They're companies where engineering excellence is a competitive advantage, probably with 20-100+ engineers who need to move fast without breaking things.