If someone says "CLIs are dead" or "MCPs are overhyped," that's a tell they only work in one context. My personal AI setup: mostly CLIs, 4 MCP servers. My work setup: 10+ MCP servers, almost no CLIs. Same person – me!, but completely different mix. I tried walking non-technical
SOFTWARE
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CLIs vs MCPs: Context-Dependent Tools for AI Workflows
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If someone says "CLIs are dead" or "MCPs are overhyped," that's a tell they only work in one context. My personal AI setup: mostly CLIs, 4 MCP servers. My work setup: 10+ MCP servers, almost no CLIs. Same person – me!, but completely different mix. I tried walking non-technical
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CLIs vs MCPs: Context-Dependent AI Tool Preferences
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If someone says "CLIs are dead" or "MCPs are overhyped," that's a tell they only work in one context. My personal AI setup: mostly CLIs, 4 MCP servers. My work setup: 10+ MCP servers, almost no CLIs. Same person – me!, but completely different mix. I tried walking non-technical
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Container Issues with Nvidia Docker and Spark Setup
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Maybe a container issue. I know Nvidia recommends their docker containers, but I am usually just running it on the Spark directly.
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Using AI Agents to Design Interfaces Like Linear
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yeh imma still tell my agents “design it to look like linear”
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Scalable MoE Training Efficiency with Megatron Core
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“Scalable Training of Mixture-of-Experts Models with Megatron Core” This NVIDIA MoE report walks through the hard part of MoE training. The key is not to add more parameters, but keeping sparse models efficient when only a small part of the model runs for each token. For
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AI Agent for Building Apps, Optimizing Workflows, and Data Analysis
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Ship anything with Agent 4
— Replit ⠕ (@Replit) 12 mars 2026
– Build web & mobile apps, slides, animations
– Chat with connected services (Notion, Google Apps etc) to optimize your workflow
– Build data apps or chat with your data to analyze pic.twitter.com/ytjXILvlrmShip anything with Agent 4 – Build web & mobile apps, slides, animations
– Chat with connected services (Notion, Google Apps etc) to optimize your workflow
– Build data apps or chat with your data to analyze -
Automating Document Processing Reduces Manual Review Bottlenecks
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#sponsored by Adlib Software. Human review does not scale, yet many teams still rely on manual intervention to fix document exceptions. This creates backlogs and reduces confidence in digital twin applications. Discover how to automate the transformation of raw documents into… pic.twitter.com/B9oSYtLtjX
— Lucian Fogoros (@fogoros) 12 mars 2026#sponsored by Adlib Software. Human review does not scale, yet many teams still rely on manual intervention to fix document exceptions. This creates backlogs and reduces confidence in digital twin applications. Discover how to automate the transformation of raw documents into
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Agents in Production: Monitoring Challenges Beyond Traditional Observability
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New York Meetup It Worked on My Laptop: Agents in Production Unlike traditional software, you don't know what your agent will do until it's in production. This means that production monitoring for agents requires different capabilities than traditional observability. Agents
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Live Demo of Agent 4 Building a Realtime Chat App on Replit
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We're going LIVE in less than an hour to show you what Agent 4 can do! Building a realtime chat app that works across web and mobile, all inside one Replit workspace. Starting on the new Agent Canvas, then building out a full web and mobile app from scratch. 9AM PT on YouTube,