4d ago · 13 min read · TL;DR: AI agents handle edge cases through a combination of on-device fallback logic, resource-adaptive task decomposition, and configurable human-in-the-loop oversight. According to Gartner (2025), AI-powered support can handle up to 80% of routine ...
Join discussion5d ago · 10 min read · This is Part 4 of the AI Engineering with TypeScript series. Prerequisites: Part 1 · Part 2 · Part 3 — Building an AI Agent Stack: Node.js 20+ · @anthropic-ai/sdk · @modelcontextprotocol/sdk v1.x · Ty
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5d ago · 9 min read · Originally published at recca0120.github.io [The first post]({{< ref "/post/claude-code-cache-ttl-audit" >}}) scanned 95 days of logs and found sub-agent cache TTL silently dropped to 5m. [The second]({{< ref "/post/claude-code-cache-ttl-17-days" >}}...
Join discussionMay 7 · 6 min read · Definition: A multi-agent system is a computational architecture in which multiple autonomous AI agents each with a specialized role and context, collaborate through a shared coordination layer to acc
Join discussionMay 7 · 8 min read · You've probably heard the phrase "AI agents" thrown around a lot lately. But when you actually sit down to build one, it can feel like trying to assemble IKEA furniture without the instruction manual,
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May 6 · 6 min read · Originally published at kalyna.pro An AI agent is a program that can reason, make decisions, and call external tools to complete a task — not just answer a single question. In this tutorial you’ll build a working AI agent in Python using the Claude ...
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