Supabase 對十億個 AI 編寫應用程式的規劃
Supabase’s Plan for a Billion AI-Built Apps
Supabase 共同創辦人 Paul Copplestone 和 Ant Wilson 討論 AI 智能體生成更多軟件後，後端需要如何演變，以支援更多應用程式。議題包括讓智能體更易理解資料庫結構、在資料庫旁執行長時間工作負載，以及 Postgres 的可靠性和擴展。訪談亦談及 Turso、開源、社羣主導的推廣，以及 Supabase 內部如何使用 AI。
AI agents are creating more software—and that changes what a backend needs to do. Supabase co-founders Paul Copplestone and Ant Wilson join swyx to discuss running long-lived workloads alongside the database, making schemas easier for agents to understand, and designing infrastructure for a world with many more applications.
The conversation also covers Postgres reliability and scaling, Turso, open source, community-led distribution, and how Supabase uses AI internally. Recorded ahead of Supabase Select 2026.
Show notes
Supabase Compute — run workloads alongside the database.
Multigres — highly available Postgres infrastructure, in private alpha.
Supabase acquires Turso — the scale-out opportunity.
Supabase Select — the event discussed in the interview.
Chapters
00:00 Six years in the making
00:51 Supabase Compute
02:01 OrioleDB and the Postgres storage engine
03:27 Multigres and Postgres reliability
07:06 Scaling out and Turso
23:10 From prototype to petabyte
25:10 AI and Supabase’s growth
27:40 Agent-driven activation
30:00 Community and crowdfunding
36:00 Open source and enterprise sales
40:50 Will the application builder or database be stickier?
48:10 Durable workflows
50:52 Company priorities
53:24 Code-first infrastructure and declarative schemas
56:30 Will AI-generated software converge?
1:06:01 How Supabase teams use AI
1:09:45 Hiring for a remote-first company
來源：Latent Space · latent.space