ARCHITECTURE
Software architecture for AI-native apps - orchestration layers, context engineering, and persistent harnesses.
6 resources - 5 posts, 1 guide
Blog Posts
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Agent Architecture: Building Multi-Step AI Workflows That Survive Production
A practical architecture for multi-step Claude agents. Loop patterns, state management, error recovery, and the production gotchas that turn a five-step demo into a 20 percent success rate at scale.
11 min read
The Agent Reliability Cliff: Why Your 10-Step Chain Only Succeeds 20% of the Time
The math of agent pipelines is brutal. 85% reliability per step compounds to about 20% at 10 steps. Here is why long chains collapse in production, and the six patterns the field has converged on to fight the decay.
9 min read
Intent Debt: The AI-Era Debt Nobody Is Tracking
Martin Fowler reframes AI-era debt into three layers - technical, cognitive, and intent. The third one is the one most teams are silently accumulating. Here is what it is and how to diagnose it.
8 min read
7 AI Agent Orchestration Patterns Every Developer Should Know
From single-agent baselines to multi-level hierarchies, these are the seven patterns for wiring AI agents together in production. Each with a decision rule, an implementation sketch, and the tradeoffs that actually matter.
10 min read
Progressive Disclosure: How Claude Code Cut Token Usage by 98%
CloudFlare, Anthropic, and Cursor independently discovered the same pattern: don't load all tools upfront. Let agents discover what they need. The results are dramatic.
10 min read
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