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Official AWS Labs MCP server for AWS Billing and Cost Management that lets AI assistants analyze costs and usage, monitor budgets and anomalies, and surface Cost Optimizer, Savings Plans, and Reserved Instance recommendations.

Expert zero-budget launch capability pack for building and shipping SaaS using free-tier infrastructure and constrained execution plans.

Design and validate model routing strategies that reduce cost and latency while preserving output quality.

Open-source semantic cache for LLM applications that stores and reuses model responses through embedding similarity to cut API cost and latency, with modular embedding, vector-store, cache-storage, and eviction components.

Source-backed agent that reduces token cost and latency in Claude Code by improving prompt-cache hit rates, advising on stable context ordering, lean CLAUDE.md, on-demand skills, and MCP tool-search, grounded in the official docs.

A practical walkthrough of the Claude Code context window: what consumes it (system prompt, memory, CLAUDE.md, MCP tools, skills, file reads, history), how each piece loads, and how the /context view helps you design leaner prompts and setups.

Claude Code statusline that detects model switches between Opus, Sonnet, and Haiku — shows current tier, total session switch count, and the last few model transitions inline.