◆ Gentoo Logic · Modeling Warehouse

DevTools · AI architecture

12 DevTools companies — how they build with AI

How DevTools companies build with AI — which foundational models they run and how directly, ranked by proximity to the model. Avg Foundation Proximity Score 52/100.

Native 0Direct API 6Cloud-hosted 3Middleware 1

Cursor

DevTools · AWS · Direct API

AI code editor (Anysphere) leaning heavily on Anthropic Claude via Direct API over its own retrieval index.

Postman

DevTools · AWS · Direct API

API platform; Postbot AI on OpenAI over API specs/collections.

Replit

DevTools · GCP · Direct API

Cloud IDE whose Agent is built primarily on Anthropic Claude.

Retool

DevTools · AWS · Direct API

Internal-tools builder with multi-model AI app components.

Sentry

DevTools · GCP · Direct API

Error-monitoring; Autofix/Seer uses OpenAI + Anthropic over stack traces.

Vercel

DevTools · AWS · Direct API

Frontend cloud built atop AWS, exposing a global edge + serverless/Functions layer; stewards the open-source Next.js framework. v0 AI is built on OpenAI/Anthropic models.

Atlassian

DevTools · AWS · Cloud-hosted (Bedrock/Vertex/Azure)

Jira/Confluence migrated to an AWS-native multi-tenant platform (Micros) on PostgreSQL + DynamoDB. Atlassian Intelligence wraps OpenAI behind a tenancy/governance layer.

GitHub

DevTools · Azure · Cloud-hosted (Bedrock/Vertex/Azure)

Owned by Microsoft and migrating into Azure; the monolith is Ruby on Rails over horizontally sharded MySQL (Vitess) with a custom Git backend (Spokes/DGit). Copilot is built on OpenAI.

GitLab

DevTools · GCP · Cloud-hosted (Bedrock/Vertex/Azure)

Single open-core Rails application on PostgreSQL, with GitLab.com running on GCP/GKE. GitLab Duo AI routes primarily to Anthropic and Google Vertex models.

Supabase

DevTools · AWS · Middleware / wrapper

Postgres backend-as-a-service; AI via pgvector + partner embeddings.

HashiCorp

DevTools · AWS · Off the LLM map (in-house non-LLM ML)

Now part of IBM; HashiCorp Cloud Platform (HCP) for Terraform/Vault/Consul runs on AWS. Core tools are widely-adopted open-source (BSL-licensed) infra-as-code and secrets management.

Linear

DevTools · GCP · Off the LLM map (in-house non-LLM ML)

Linear’s CTO has described the production stack as running on Google Cloud with Kubernetes, using React and Node/TypeScript, with Postgres for primary storage, Redis for queuing, and MongoDB for caching scenarios. The only clearly documented AI-related capability in the provided sources is product-level “AI workflows”; no source here establishes a specific foundational LLM provider in the core production architecture, so model_links is empty.

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