Skill

Author and deploy AWS infrastructure with SST v4 and Pulumi

An SST v4 (Ion) skill for authoring, testing, and safely migrating Pulumi-backed AWS infrastructure, with incident-informed conventions.

Works with awspulumisstvitest

77
Spark score
out of 100
Updated 28 days ago
Source checked Aug 23, 2026
Version 15.16.0

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Why it matters

Define, test, and deploy production-grade AWS infrastructure as TypeScript code using the SST v4 (Ion) framework with Pulumi, following battle-tested patterns for resource authoring, linking, testing, and troubleshooting that prevent common deployment failures.

Outcomes

What it gets done

01

Write sst.config.ts and infra/ modules with typed sst.aws.* components (Function, Bucket, Dynamo, Cron, Service, Router) and raw Pulumi aws.* resources

02

Wire resource links between modules using SST link, SSM Parameter Store, and IAM scopes while avoiding Output interpolation bugs

03

Create source-level Vitest tests that assert resource invariants and prevent silent regressions during infrastructure changes

04

Deploy stacks safely with stage-gated lifecycle policies, migrate resources between Pulumi types, and troubleshoot failed deployments

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-aws-sst-development | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

SST v4 for AWS

This skill covers SST v4 (Ion) development: authoring Pulumi-backed AWS resources, correct runtime and Output interpolation patterns, source-level testing, and safe two-PR migrations between Pulumi resource types. Use it for SST v4 (Ion) config, infra modules, resource linking, deploys, or migrations. Does not apply to SST Classic (v2/v3, CDK-based), a different framework.

What it does

This skill provides expert guidance for SST v4, the Ion engine, a Pulumi-backed infrastructure-as-code framework where AWS resources are described in TypeScript via high-level sst.aws.* components such as Function, Bucket, Dynamo, Cron, Service, and Router, or raw aws.* Pulumi resources for the long tail, plus sst.Secret and sst.Linkable for wiring. It covers authoring sst.config.ts and infra/ modules, resource linking, testing, deployment, and troubleshooting, encoding lessons distilled from real multi-stack production projects. Since SST and Pulumi are third-party and evolve, it insists on verifying current component syntax via Context7 and AWS-side facts like service limits, IAM action names, and region availability via the AWS docs MCP rather than from memory. Before editing, it orients on the repo: reading sst.config.ts for app name, region, providers, and default tags, and the run() import order, which is the dependency order, checking for project-specific IaC rules, checking existing Vitest invariants that must stay green, and confirming the actual SST and Pulumi versions and package manager, running a version check to confirm v4/Ion rather than the CDK-based v2/v3 SST Classic.

Universal conventions that apply to any SST v4 and AWS project include controlling the Node runtime deliberately in one place via a global transform rather than trusting SST's default; never interpolating a Pulumi Output into a plain JavaScript template literal, since a bare interpolation type-checks and runs fine in dev mode but produces a broken ARN that only fails at deploy time and has caused real production outages; defaulting to two sequential pull requests when migrating a resource between Pulumi types, since Pulumi creates before destroying and uniqueness-constrained AWS names conflict otherwise; and preferring typed resources over the stringly-typed CloudControl escape hatch. Project-specific defaults worth adopting for consistency, but confirming per repo, include a fixed region and default tags, stage-gated removal and protect settings so production resources survive teardown, SSM Parameter Store as the out-of-graph contract for cross-app consumers while same-app Lambdas use SST's link mechanism for a real dependency edge with IAM, lazy dynamic imports of infra modules to keep hot-reload light, source-level Vitest tests asserting on resource names, shapes, and IAM scopes, and an observability gate requiring an alarm and structured logging on every new Lambda, queue, or schedule before merge.

When to use - and when NOT to

Use it when writing or editing sst.config.ts, building infra/ modules, wiring resource links, running or troubleshooting a deploy, or migrating a resource between Pulumi types on an SST v4 (Ion) project - not SST Classic (v2 or v3, CDK-based), which is a different framework these patterns don't apply to.

Inputs and outputs

Given an infrastructure change request, it produces authored SST and Pulumi resource code matching the repo's house style, source-level test assertions, and a deploy or migration plan - flagging any irreversible action such as a deploy, a teardown, or a type migration with the target AWS account before execution.

Integrations

Context7 for current SST and Pulumi component syntax, AWS documentation MCP for verified AWS facts, Vitest for source-level infrastructure tests, and the AWS CLI identity check to confirm the target account before deploying.

Who it's for

Teams running production SST v4 infrastructure who need house-style-consistent, incident-informed patterns for authoring, testing, and safely migrating Pulumi-backed AWS resources - distinguishing universal rules from project-specific conventions along the way.

FAQ

Common questions

Discussion

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