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This week on The Standup, we sit down with the team behind Cloudflare’s “Vinext” experiment an attempt to bring the Next.js API surface onto a completely different runtime. What starts as a simple “why does this exist?” quickly turns into a deep dive on AI-driven development, open source in the age of agents, and what happens when an intern is told to “just build Next.js” .

Dane Knecht, Steve Faulkner, and Dillon Mulroy walk through how the project went from a half-finished intern prototype to a full-blown AI-assisted experiment complete with bots reviewing PRs, triaging issues, and even maintaining parity with the Next.js repo itself. Along the way, we get into the realities of maintaining a “not-a-fork-but-kind-of-a-fork,” why developers keep depending on undocumented behavior anyway, and how AI both creates and fixes its own messes .

Chapters
00:00:00 - Intro
00:01:41 - NextJs
00:03:28 - Sentry
00:04:27 - Interns and AI bots
00:06:42 - Opensource in the AI world
00:07:46 - Fork or not
00:10:38 - Surface Area
00:14:43 - Post Experiment
00:15:53 - Mitigating Slop
00:18:10 - Agentic Development
00:27:37 - Reception
00:31:13 - What is Vite?
00:36:49 - Sentiment
00:38:47 - Managing AI
00:43:32 - Outro

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Primeagen's resource offers insights, tutorials, and resources for software developers and technology enthusiasts. Readers can learn about productivity hacks, career development strategies, and personal growth. With articles, videos, and practical advice, Primeagen provides  guidance and expertise for achieving professional success and fulfillment.

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Cloudflare CTO Dane Connect and engineering director Steve Falner discuss V-Next, a Next.js-compatible framework built on Vite for Cloudflare's edge runtime. The conversation covers how the project was initially prototyped by an intern, then revived using AI agents to accelerate development. Key topics include maintaining an AI-driven open source codebase with AI bots for PR triage, security review, and tracking upstream Next.js changes; strategies for preventing 'slop' (e.g., giant template strings) through linting, tests, and periodic AI-assisted code quality reviews; the tradeoffs of purely agentic development including babysitting multiple workspaces; and why Vite's performance made V-Next 6x faster than Next.js without any optimization effort. The panel also debates the future role of engineers as AI handles more implementation work, emphasizing that architectural judgment and deep experience remain irreplaceable.

Maintaining a codebase with AI | The Standup