The AI-native builder stack

Building in 2026 looks different. The fastest teams pair an AI assistant with an AI-native editor, then wire up hosting, email, a database and product analytics so shipping and learning happen in the same loop.

This stack is opinionated toward speed: write and refactor with AI, deploy on push, and measure what real users do — without stitching together a dozen enterprise tools.

The 7 tools, and why they're in

01ClaudeAI assistantAnthropic's assistant for coding, writing and reasoning — the daily driver for AI-native teams.Visit↗

02CursorAI code editorThe AI-native code editor — chat with your codebase and let it write and refactor in place.Visit↗

03LinearIssue trackingKeep the roadmap and issues tight so AI-accelerated shipping stays organized.Visit↗

04VercelHostingPush to deploy, with preview URLs on every branch — ideal for a fast iteration loop.Visit↗

05SupabaseDatabase & authPostgres, auth and storage that scale from prototype to production.Visit↗

06ResendTransactional emailDeveloper-first transactional email with a clean API — send from your app in minutes.Visit↗

07PostHogProduct analyticsProduct analytics, session replay and feature flags in one open-source platform.Visit↗

0 of these tools have a verified deal on ChooseMyStack — and there are hundreds more across every category.

Other stacks

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The zero-budget founders stack8 tools · View stack →

📈

+3

The lean go-to-market stack6 tools · View stack →

🚀

+3

The scale-up operations stack6 tools · View stack →