If you're trying to figure out how marketing, sales, eng, finance can connect more data sources to AI, please use MCPs, or something with controls. If you're hacking away on your claw, CLIs are awesome.
AUTOMATION
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MCPs and CLIs: Connecting Data Sources to AI Systems
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If you're trying to figure out how marketing, sales, eng, finance can connect more data sources to AI, please use MCPs, or something with controls. If you're hacking away on your claw, CLIs are awesome.
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CLI vs MCP: Single-User Hackers vs Enterprise Teams
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CLI: Good for single-user mode, hackers.
MCP: Good for multi-user mode, teams/enterprises. -
CLI vs MCP: Single-user versus multi-user AI interfaces
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CLI: Good for single-user mode, hackers.
MCP: Good for multi-user mode, teams/enterprises. -
CLI vs MCP: Single-User and Multi-User AI Modes
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CLI: Good for single-user mode, hackers.
MCP: Good for multi-user mode, teams/enterprises. -
CLI vs MCP: Single-User and Enterprise AI Interfaces
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CLI: Good for single-user mode, hackers.
MCP: Good for multi-user mode, teams/enterprises. -
CLI vs MCP: Single-User Hackers vs Enterprise Teams
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Agree. There's a ton of enterprise value. I tend to think: * CLI good for single-user mode, hackers
* MCP good for multi-user mode, teams/enterprises -
Single Agent Gateway Multiple Backend Keys Authentication
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Agent — MCP Gateway — Many tools and auths Only one key Agent Gateway
Many keys and auth from Gateway Backends -
Scaling Governed Autonomous Agents: Avoiding Real-World Collapse
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Autonomous agents don’t degrade gracefully; they collapse when moving from controlled pilots to real-world complexity. Join Jarrod Vawdrey ( @DominoDataLab
) and Sam Higgins (
@Forrester
) on 3/17 for a guide to scaling governed agents. Register now: https://
domino.buzz/4bwNYck -
Production Telemetry: The Missing Artifact for AI-Driven Engineering
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Banger of a piece, from start to finish. 🔥 "We have handed agents the codebase, the tests, the docs, the specs, the commit history." "We haven't handed them the one artifact that actually survived — the record of what users have been asking the system to do, every day, for years." "Until agents can read that layer — not as log lines, but as behavioral contracts, as the accumulated promise a system has made to the people who depend on it —harness engineering in brownfield and blackfield will remain a human problem with an AI assistant bolted on." linkedin.com/pulse/productio…