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Software architecture for AI-native apps - orchestration layers, context engineering, and persistent harnesses.
9 resources - 9 posts

How OpenAI built GPT-Live: a full-duplex voice model with no turn detector, Go on the media path, stateful handoffs, and the new WARP WebRTC transport.

MCP vs Agent Skills: MCP gives agents live access to tools and data, Skills give them packaged procedure. The decision rule for when to use which, or both.

Event sourcing for AI agents: a new paper makes the append-only log the source of truth for agent state. What it enables, and whether HN thinks it is just CQRS.

There are no instances in ATProto: Dan Abramov explains how Bluesky's protocol separates hosting from apps, what Hacker News pushed back on, and why it matters.

Agent architecture for multi-step Claude workflows: loop patterns, state management, error recovery, and the production gotchas that break agents at scale.

The agent reliability cliff: 85% per-step success compounds to about 20% over 10 steps. Why long chains collapse, and six patterns that fight the decay.
Intent debt is the third layer of AI-era debt Martin Fowler describes, after technical and cognitive debt. What it is and how to diagnose it in your project.

Seven AI agent orchestration patterns for production, from single-agent baselines to multi-level hierarchies, each with a decision rule, sketch and tradeoffs.

Progressive disclosure lets agents load tools only when needed. How Cloudflare, Anthropic and Cursor cut token usage, and how to do it in Claude Code.
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