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XXccelera AI·Sep 21Inside an Agentic Architecture: How Planning and Execution Layers Work TogetherSee how agentic AI architecture unifies planning and execution layers into one governed workflow, from plain-English intent to a monitored agent.7 min read·xccelera.hashnode.dev
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Mma michael·Aug 20DeepSeek Harness Explained: What Is an Agent Harness—and Can It Replace Claude Code?Learn what DeepSeek Harness is, how its plugin-based agent runtime works, and how DSH compares with Claude Code, Codex, and OpenCode.10 min read·cloudsway.hashnode.dev1
MManu Shukla·Aug 7MCP vs A2A in 2026: 5 tests for whether you need agent-to-agent protocolMCP vs A2A in 2026: 5 tests for whether you need agent-to-agent protocol Summary. The two protocols solve different problems and most teams need only one. The Model Context Protocol connects an agent17 min read·ecorpit.hashnode.dev11K
MMaverick·Aug 4API vs MCP: Interoperability Trade-offs for AI SystemsA practical guide comparing REST APIs and MCP for AI systems — with decision frameworks, architecture patterns, and real-world Walmart scenarios.14 min read·jyanshu.hashnode.dev1C
MMoises Prat·Jul 21Building a 6-Agent Investment Research Pipeline with CrewAIA 6-agent CrewAI pipeline for stock research: sequential agents, typed contracts, deterministic tools, and an adversarial critic. The architecture.6 min read·prospectai.hashnode.dev
