Introducing Vise: the proof layer for social.plus AI-assisted SDK integration

From AI-ready to AI-ready for build

In May, we shipped the social.plus MCP server. MCP made social.plus AI-ready by default: your coding agent can now reach current SDK documentation and product context on demand.

Vise is the next chapter. It adds the workflow layer that turns the agent's context into a shippable integration. Your agent still writes the code. Vise gives the agent and the reviewer a repeatable path from a broad request to a checked, evidence-backed integration.

How Vise works

You open your coding agent inside your project and ask for a social.plus feature. Vise picks up the loop from there.

• Clarify. Vise resolves the ask into concrete scope: platform, region, social experience target, and the surfaces you actually want to build.
• Propose. For broad asks like "add social features," Vise offers concrete product directions matched to your app, so you pick the shape instead of the agent choosing implicitly.
• Ground. Vise grounds the agent in current SDK facts, dependency versions, and target-discovery rules before it writes a line of code.
• Check. Vise runs 400+ platform-specific checks across iOS, Android, Web, Flutter, and React Native. Setup validation, target discovery, source scanning, completeness gates, secret scanning, and privileged-field checks.
• Attest. Vise writes a versioned sp-vise/ contract with attested evidence and deterministic findings from the check layer. vise check --ci gates your pipeline. It exits non-zero unless the contract is green.

Vise runs on the developer's machine. It fetches public social.plus documentation and SDK version information, but it never uploads your source code, file contents, or queries.

Before and after Vise

Compilers catch what compilers catch. Vise catches what compilers miss.

Hardcoded object IDs. An integration looks connected when a real community ID is pasted into the source. Point it at a different tenant and it goes empty. Vise flags hardcoded literals; targets must come from a live SDK query, a create flow, or user selection.

Wrong data shape. A reaction count doesn't always come back as a plain number. Code that assumes the simple shape ships the wrong render instead of failing loudly. Vise checks the field against the structure the SDK actually returns.

Empty state disguised as loaded. A feed can technically finish loading and still show nothing. Vise's completeness gates check for populated content, not just a resolved loading state.

Secret in source. An API key hardcoded as a fallback survives long after the developer forgets it's there. Vise's secret scanner flags literal keys even when an env var is also present.

MCP + Vise: the AI-native social.plus stack

MCP is the reference layer. Vise is the workflow layer.

Both connect AI coding tools to social.plus, and they work best together. Use MCP when you want the assistant to find and read documentation: current SDK references, platform behavior, capability details. Use Vise when the assistant is editing your app and you want a local governed workflow, deterministic checks, and a reviewer-ready contract at the end.

MCP made social.plus AI-ready by default. Vise makes it AI-ready for build.

A contract your reviewer can gate on

The sp-vise/ folder is the reviewer's artifact. Attested evidence, deterministic findings from the check layer, a versioned record of what shipped. When the tech lead asks "how do we know it worked?", the answer is the contract, not a prompt transcript.

vise check --ci wires the same gate into your pipeline. Merges block until the contract is green. And if a shipped surface drifts later, vise check --all-engagements re-verifies every finished integration alongside the current one, with a dedicated exit code when a previously green surface no longer holds. Vise governs the second feature as carefully as the first.

In your product, in your workflow

Vise-governed integrations fit social.plus into the app your team already built. Communities derive from the product. Feeds appear where users already look. Chat sits inside the moment. What ships to code review is an integration, not a prompt transcript.

A training app gets program crews tied to the workout plans users already follow. A retailer gets product circles based on purchase history, embedded in the shopping flow. A travel platform gets destination communities matched to the itineraries travelers are already planning.

Different stacks, different teams, different products. What ships to code review is the same: an integration, not a prompt.

How to install

Full setup and the complete CLI reference are at learn.social.plus/ai-mcp/vise/overview.

Try Vise

Install Vise, connect it to your AI coding tool, and start shipping social.plus features with an artifact your reviewer can trust. Visit learn.social.plus/ai-mcp/vise/overview for setup instructions and the CLI reference. Or contact our team for a walkthrough.

From plausible code to proven integration.

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