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grep -l @mcp /news/*.json | wc -l → 1794

MCP

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16:53
2026-06-13
dev.to
artificial-intelligence

Why Testing MCP Servers With Real AI Models Matters (2026)

Testing MCP servers with real AI models is essential because servers that pass wire-level tests can fail when models attempt to use them. A developer explains that the semantic layer—whether a model c…

10:58
2026-06-13
dev.to
developer-tools

Why Infrawise Uses Deterministic Analysis Instead of an LLM

Infrawise, an MCP server providing infrastructure context to AI coding assistants, uses deterministic analysis instead of large language models to answer fact-based questions. The tool extracts data f…

10:49
2026-06-13
dev.to
ai-agents

The billing bet that killed my coding-agent harness

A developer built Filomena, a harness to run multiple Claude Code agents from one terminal, but abandoned it after six months as Claude Code's native features rendered it obsolete. The project's core …

04:32
2026-06-13
dev.to
ai-agents

What should an AI coding agent learn after a failed run?

A developer is building AccInt, a local Work Model for agent-run work that aims to determine what an AI coding agent should learn after a failed run. The project focuses on capturing settled commitmen…

22:10
2026-06-12
dev.to
ai-agents

The Agent Gets the API Key. You Get the Guinea Pig Seat.

Robinhood and Coinbase have launched infrastructure allowing AI agents to directly access brokerage accounts and make trades, raising concerns about the lack of evidence that such agents can reliably …

18:16
2026-06-12
dev.to
ai-tools

Measure Your MCP Server's Token Tax in 60 Seconds

A developer has created a 60-second audit script to measure the "MCP server token tax"—the context budget consumed by tool definitions before an agent performs any useful work. Running the script agai…

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