StackRails
Intro
StackRails is an enterprise context and governance layer for AI coding agents. It builds a live Architecture Graph from code, cloud, IaC, CMDB, ADRs, APIs and event topology, then serves relevant slices through a vendor-neutral read-only MCP into Claude Code, GitHub Copilot, Cursor and Codex—so agents see architecture/policy before generating code, with checks at commit/push and pull request (optionally blocking merges).
This scan surfaced the name via a new runtimewire sitemap URL and corroborated it on stackrails.ai plus press wires. It is context/governance for agents, not another coding model.
Explain
Shape
- Before generation: inject architecture graph + policy context.
- Before merge: policy/compliance checks.
- Integrations: MCP/plugin paths into major AI coding tools.
Caveats
Primarily a commercial platform; openness and pricing follow the vendor site. The radar keeps the proper product name—not the generic “context layer” phrase.
Usage
Who it is for
- Eng leaders rolling out Copilot/Cursor/Claude Code who need agents to respect internal architecture and policy.
- Platform/DevEx teams that want one context plane for coding agents.
Getting started
- Review stackrails.ai/platform and integrations.
- Pilot Architecture Graph + MCP on one repo.
- Observe prompt context first, then enable PR-blocking policies.
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