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Comparison · DevOps

Vercel vs WeWeb

Side-by-side trajectory, velocity, and editorial themes.

Vercel logo
Vercel
DEVOPSINFRA · APIS
10.0

Vercel widens its AI Gateway and compute limits as regulation reshapes model access

◆ Current state

Vercel's cadence splits between AI Gateway expansion (new models from Moonshot and DeepSeek-via-Azure, harness-level agent APIs in AI SDK 7) and core platform reach (30-minute functions, drag-and-drop Drop deploys, Nitro v3 workflow integration, threshold billing). The AI Gateway is increasingly the center of gravity, and it is now exposed to regulatory pressure.

◆ Where it's heading

Vercel is consolidating as a neutral routing and compute layer for AI workloads: more models behind one gateway, harness abstraction in AI SDK 7, and longer-running functions to host agentic jobs. The Claude Fable 5 suspension shows that aggregating third-party models inherits their regulatory risk. Expect continued breadth on the gateway and deeper agent-runtime tooling.

◆ Prediction

Look for more models and providers added to AI Gateway and further function/runtime limits raised to court long-running agent workloads. Model availability will increasingly hinge on external compliance constraints rather than Vercel's own roadmap.

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WeWeb
DEVOPS
6.3

WeWeb is going AI-native, letting external tools build in your project

◆ Current state

WeWeb is pushing its visual web builder toward AI-native development. It shipped MCP support so external AI tools can understand and build directly in a WeWeb project, then followed with in-app WeWeb AI gaining planning and task tracking plus MCP quality-of-life fixes. Underneath, the core keeps getting refined — a redesigned Supabase Select, formula columns in table views, and steady editor, navigation, and publishing polish.

◆ Where it's heading

The arc is toward a builder where AI is a first-class way to construct apps, whether through the in-app assistant or an external tool driving the project over MCP. Recent releases pair that agentic surface with data-layer depth (Supabase, formula columns) and deployment ergonomics, suggesting WeWeb wants AI-assisted building to sit on top of a solid, data-connected foundation rather than replace it. The messaging around 'AI, visual, or both' signals a deliberately hybrid workflow.

◆ Prediction

Expect WeWeb AI and MCP to keep maturing together — richer planning, more reliable agent edits — alongside continued Supabase and data-source depth, given how these two threads dominate the recent cadence.

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