8 min read
Capacity Planning for Agent Chains: How Much Compute Do You Need?
How to size infrastructure for AI agent workloads. CPU, memory, concurrent chains, and when to scale up vs out.
7 min read
Concurrency Patterns for Agent Chains: Fan-Out, Fan-In, and Race
How to run agents in parallel, merge their outputs, and handle race conditions in multi-agent pipelines.
7 min read
Cost Allocation for Agent Chains: Charging Back by Team
How to track and allocate AI agent costs across teams and departments. Per-chain cost tracking, budget alerts, and chargeback models.
7 min read
The Real Cost of Running AI Agent Chains in 2026
Break down every cost component of running multi-agent pipelines: LLM tokens, compute, orchestration platforms, and the hidden costs nobody talks about.
7 min read
Data Flow Patterns in Agent Chains: Files, Events, and Shared State
How data moves between agents in a chain. File-based handoff, event payloads, shared state directories, and when to use each pattern.
4 min read
Debugging Agent Chains: A Systematic Approach
When your agent chain produces wrong output, here's the systematic process for finding and fixing the problem. From event inspection to prompt diagnosis.
8 min read
Deploying Agent Chains: Blue-Green, Canary, and Rolling Updates
Deployment strategies for multi-agent pipelines. How to update chains in production without breaking running workflows.
6 min read
Documenting Agent Chains: What Future You Needs to Know
How to document multi-agent pipelines so your team can understand, maintain, and debug them months later. Chain READMEs, agent descriptions, and runbooks.
7 min read
Error Handling Patterns for AI Agent Chains
How to build resilient multi-agent pipelines. Retry strategies, fallback agents, error routing, and graceful degradation patterns.
6 min read
Idempotency in Agent Chains: Safe Retries Without Side Effects
How to design agent chains that can be safely retried without duplicating work. Idempotency keys, output deduplication, and checkpoint patterns.
7 min read
Logging Best Practices for Multi-Agent Pipelines
How to structure logs across multi-agent chains for debugging, auditing, and compliance. Per-agent isolation, structured formats, and retention policies.
8 min read
Migrating Agent Chains Between Environments: Dev to Staging to Production
How to promote agent chains across environments safely. Environment-specific configs, migration checklists, and validation gates.