Cutting Token Cost in Parallel Claude Code Runs
Caching, batching, and model routing to keep parallel Claude Code agents cheap and fast on desktop — with a 6-step plan and cost breakdown.
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
Caching, batching, and model routing to keep parallel Claude Code agents cheap and fast on desktop — with a 6-step plan and cost breakdown.
Find and fix loops, wrong tool calls, and hallucinated args in parallel Claude Code agents on desktop — concrete tactics, hooks, and a debug workflow.
Design context for parallel Claude Code agents: what to include, what to cut, why isolation beats sharing, and how to order prompts for focus.
Wire MCP tools into parallel Claude Code agents safely: shared auth, tight schemas, idempotency keys, structured errors, and write serialization.
Code-level patterns for parallel Claude Code agents: result contracts, scope tokens, read-only briefings, planner orchestrators, and map-reduce.
A hands-on walkthrough of building a parallel-agent workflow in Claude Code on desktop: define subagents, fan out, collect JSON results, retry, and verify.
How Claude Code on desktop runs parallel agents: orchestrator loop, isolated subagent contexts, the tool bus, locks, and shared-state merge.
Anthropic and Moody's announced a data partnership in May 2026 that grounds Claude in audited financial reference data. Why grounding reduces hallucination and what it unlocks.
Anthropic chose not to release Mythos publicly. Inside the dual-use cybersecurity calculus, what restricted release means for enterprises, and the ripple effects.