ai-coding-assistants dynamodb-optimization mcp-tools infrastructure-context cost-prevention

AI assistants guess your infrastructure, infrawise shows it

infrawise exposes your actual DynamoDB schemas, GSIs, and PostgreSQL indexes to Claude Code via MCP before code generation, replacing generic patterns with infrastructure-specific queries.

Summary

Claude Code generated a Scan on a 50M-row table, costing 47M read capacity units in 72 hours—the model had no visibility into table size or existing GSIs. infrawise surfaces that context deterministically, preventing costly infrastructure-blind suggestions from reaching production.

Why it matters

Implementation verdict

Replaces ad-hoc schema documentation and post-code-review database fixes. Requires AWS credentials, read-only PostgreSQL user setup (if applicable), and one-time infrawise.yaml generation. Ready now: npm install -g infrawise && infrawise start --claude sets up MCP integration automatically.

Sources

1.47 million read capacity units consumed in 72 hours
2.Limit only controls how many results come back, not how many items DynamoDB reads
3.The model was never given your infrastructure
4.All analysis is entirely deterministic: TypeScript AST parsing via ts-morph for the code graph, schema introspection for the database layer, rule-based analyzers for pattern detection, and graph correlation to connect code paths to tables
5.infrawise exposes your exact schemas, GSIs, partition keys, and flagged patterns to your editor through MCP — 15 tools Claude Code can query before writing a single line

Dev Signal

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