Multi-Agent Orchestration in 2026: Patterns, Frameworks, and When to Use Each
A practical guide to multi-agent orchestration patterns: supervisor, handoff, and swarm. With real examples in LangGraph, CrewAI, and AutoGen.
Tag
ai-engineering
10 articles tagged ai-engineering. Browse the full blog.
AI Agent Costs: Real Monthly Bills Broken Down by Usage Tier
Real cost breakdowns for running AI agents at $500/mo, $5k/mo, and $50k/mo. Infrastructure, LLM tokens, tool calls, and observability costs explained.
AI Engineering Salaries and Hiring Trends in 2026
Real salary data for AI engineers, ML researchers, and AI product managers in 2026. Demand patterns, hiring dynamics, and what actually gets you hired.
How AI Agents Handle Edge Cases: Real Failures and Design Patterns
Real failure scenarios in production AI agents: out-of-distribution inputs, prompt injection, hallucinated tools, infinite loops. How to design against each.
AI Agent Token Costs: How to Cut LLM Spend in Production
Cut AI agent token costs with prompt caching, context compression, model routing, and output caps. Real before/after numbers for production agent workloads.
Agentic RAG Patterns in 2026: Beyond Basic Vector Search
Agentic RAG goes beyond single-vector-search. Multi-hop queries, query rewriting, re-ranking, and citations: when agent-driven retrieval beats naive RAG.
AI Agent Context Management in 2026: Real Patterns That Work
How to manage context windows in production AI agents. Compression, retrieval, summarization, and memory patterns from real Claude, GPT, and Gemini deployments.
AI Rollback Strategies: What to Do When an AI Feature Breaks
How to safely roll back AI features when they fail: feature flags, gradual rollout, model versioning, A/B testing, and kill switches. Production-grade playbook.
Agent Handoff Patterns in 2026: How AI Agents Delegate to Each Other
How agents pass control and context to other agents. Context passing patterns, role definitions, failure modes, and real code examples for production handoffs.
AI Agents vs Traditional RPA: What's Actually Changing in 2026
Why LLM-driven agents are replacing traditional RPA from UiPath and Automation Anywhere. Use case migration, cost economics, and where RPA still wins.