lint vs Poolside AI
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | lint | Poolside AI |
|---|---|---|
| What it is | ESLint/Oxlint plugin enforcing Tailwind design-system contracts | Open-weight agentic coding models (Laguna XS 2.1, Laguna S 2.1) + governed agent platform |
| Pricing | Free (open source) | Contact sales — no published tier |
| Buyer | Frontend teams running coding agents on Tailwind v4 | Regulated engineering orgs in finance, healthcare, defense |
| Deployment | Repo-level install via ESLint or Oxlint | On-prem, air-gapped, multi-cloud inside the perimeter |
| Signature capability | Per-component pattern/allow/deny contracts that emit fix instructions agents can act on | 1M-context Laguna S 2.1 with sandboxed multi-agent orchestration and RBAC/audit traces |
| Integrations | ESLint, Oxlint, Tailwind CSS v4, shadcn/ui | OpenRouter, Vercel AI Gateway |

An agent-first ESLint and Oxlint plugin that turns Tailwind design-system violations into fix instructions a coding agent can act on.
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Open-weight agentic coding models — Laguna XS 2.1 and Laguna S 2.1 — built for secure on-prem and air-gapped enterprise AI.
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Poolside AI operates at the model-and-platform layer. Laguna S 2.1 is a 118B-parameter open-weight model with 8B active and a 1M context window, positioned for frontier-class long-horizon reasoning; Laguna XS 2.1 is 33B params with 3B active and 256K context, built to run on-device. Around those sit single- and multi-agent orchestration with planning and tool use, sandboxed execution environments for generated code, a desktop app and CLI, data connectors to repositories, databases, and warehouses, role-based access control for both humans and agents, end-to-end trace observability, and governance and auditability aimed at regulated environments. Critically, you can inspect, fine-tune, and own the weights.
lint sits at the code-quality layer and does not compete with any of that. It is an agent-first linter for Tailwind design systems: you declare which components exist, which variants they have, and which theme tokens they may touch, and violations come back as fix instructions rather than verdicts. shadcn/no-restyle takes per-component contracts using pattern, allow, and deny lists — so CardTitle can change typography while CardContent changes spacing. shadcn/no-arbitrary-values keeps classes on your theme's spacing scale. Rules are organized by category (layout, spacing, typography), custom messages attach your design-system instructions to errors, and it fits Tailwind v4 with no rewrite. shadcn/ui is not required. It ships as both an ESLint and an Oxlint integration. It is a linter, not a general-purpose JS/TS linter and not a hosted service.
Pricing compared
The pricing models could hardly be further apart, and that is the clearest evidence they serve different buyers. Poolside AI lists pricing as contact — there is no published per-seat rate, no self-serve sign-up, and no free trial. That means budget approval depends on a procurement conversation, and Poolside's own not-for list flags this explicitly: buyers who need a publicly listed per-seat price before they can get budget approval are not the target. Expect enterprise licensing around an open-weight model plus a governed platform, with cost shaped by deployment (on-prem, air-gapped, multi-cloud) rather than by seat count. Small teams without an enterprise budget or procurement process are directed elsewhere.
lint costs nothing. It is open source and installed at the repo level, so the real cost is the engineering time to encode your design-system rules — and there is an agent-oriented setup prompt that reads SETUP.md and installs @shadcn/lint. There is no hosted tier, no dashboard, and no CI product to upsell into. For a Tailwind v4 team, the trade is straightforward: zero license spend in exchange for the work of writing contracts. Comparing the two on price is meaningless — one is an enterprise capital-style purchase gated by security review, the other is a dependency in package.json.
Who should pick which
- Regulated enterprise (finance, healthcare, defense)Pick: Poolside AI
Cannot send code to a third-party cloud; gets on-prem/air-gapped deployment, RBAC, audit trails, and trace observability.
- Org that wants to own its coding modelPick: Poolside AI
Laguna S 2.1 and XS 2.1 are open-weight, so the weights can be inspected and fine-tuned rather than rented.
- Team with long-horizon refactorsPick: Poolside AI
1M context on Laguna S 2.1 plus sandboxed multi-agent orchestration suits multi-step work.
- Tailwind v4 team running coding agentsPick: lint
Per-component contracts turn design-system violations into fixes an agent can apply without human translation.
- Design system maintainerPick: lint
Enforceable pattern/allow/deny rules replace prose guidelines, and category rules keep spacing on the theme scale.
Frequently Asked Questions
Can I run Poolside models without lint, or lint without Poolside?
Yes to both, and that is the normal case. They are not dependent on each other and not sold together: Poolside is a model-and-platform purchase, lint is a free repo-level plugin.
Does lint require shadcn/ui?
No. shadcn/ui is not required to adopt it, and the rule names are simply how the contracts are packaged.
What does the Nvidia–Poolside news mean for buyers?
Bloomberg reported, via an anonymous source, that Nvidia will pay Poolside $6B for a license. Treat it as reported, not confirmed, and ask Poolside directly about roadmap and support commitments before signing.
Is there a free way to try Poolside AI?
No self-serve free trial is published, and there is no instant sign-up — the entry point is a procurement conversation.
Does lint work on Tailwind v3?
No. Projects on Tailwind v3 or earlier are explicitly out of scope; it targets Tailwind v4.
Is lint a replacement for my existing JavaScript/TypeScript linter?
No. It is not a general-purpose linter — it enforces design-system contracts and runs as an ESLint or Oxlint integration alongside your existing setup.
Which Poolside model fits on-device work?
Laguna XS 2.1, at 33B params with 3B active and 256K context, is the one designed to run on-device for lightweight scenarios.
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Last reviewed: September 29, 2026