AI — Page 29
Artificial intelligence, machine learning, LLMs, and AI tools transforming development.
Using Hermes AI Agent as a Remote Lead Developer
ZazenCodes shows how to run Hermes AI agent on a VPS with Telegram and GitHub to automate coding tasks remotely—even from your phone on a subway.
Whering's AI Fashion App and Its Google Dependency
Whering's AI Fashion App and Its Google Dependency
Whering CEO Bianca Rangecroft explains the startup's multimodal AI stack at Google I/O — raising questions about vendor lock-in, transparency rules, and what "democratize" really means.
Claude Mythos 1: The AI Security Leak Worth Watching
Claude Mythos 1: The AI Security Leak Worth Watching
Claude Mythos 1 briefly appeared in Anthropic's UI, then vanished. The security numbers from Project Glasswing are real—and raise harder questions than the hype does.
DeepSeek V4: How It Made Million-Token AI Affordable
DeepSeek V4: How It Made Million-Token AI Affordable
DeepSeek V4 cuts API costs by 75% and hits a 1M token context window. Here's the engineering behind why that actually matters.
Google's Chrome AI Update and the Zero-Click Future
Google's Chrome AI Update and the Zero-Click Future
Google's new Chrome AI mode lets users search across open tabs, screenshots, and PDFs at once. Here's what that means for websites and web traffic.
35 GitHub Trending Tools Reshaping AI Dev Work
35 GitHub Trending Tools Reshaping AI Dev Work
From token-efficient agents to a programming language built for bots, GitHub's latest trending repos expose what developers actually need from AI tooling right now.
Building AI Agents Without the Plumbing Nightmare
Building AI Agents Without the Plumbing Nightmare
Anthropic's Isabella He walked developers through shipping a production incident-response agent in six functions. Here's what the architecture actually reveals.
Claude Code Workflow: Build Real Apps With AI Agents
Claude Code Workflow: Build Real Apps With AI Agents
Leon van Zyl's Claude Code workflow—parallel agents, automated security audits, reusable skills—raises real questions about how AI builds production apps safely.
Shopify's River AI Agent Works Only in Public Slack
Shopify's River AI Agent Works Only in Public Slack
Shopify's River AI agent can't run in DMs—only public Slack channels. That one design choice is fixing a knowledge gap most companies don't know they have.
Can AMD Finally Compete for Local AI Workloads?
Can AMD Finally Compete for Local AI Workloads?
AMD's ROCm platform has quietly matured. Sam Witteveen tests a Threadripper + Radeon AI Pro workstation on LLMs, image gen, and training. Here's what he found.
Claude Code Explained: What Anthropic's Free Course Covers
Claude Code Explained: What Anthropic's Free Course Covers
Anthropic's free Claude Code course on Anthropic Academy covers setup, CLAUDE.md files, and security. Here's what the curriculum actually teaches—and what it leaves open.
Your AI Agent Knows Nothing About Your Org
Your AI Agent Knows Nothing About Your Org
Context engines promise smarter AI agents—but they work by hoarding your Slack history, CTO messages, and code review patterns. Is the tradeoff worth it?
4 Patterns the Best AI Agents Actually Share
4 Patterns the Best AI Agents Actually Share
Flinn AI's Mardu Swanepoel studied Harvey, Cursor, Manus, and Claude to find what top agents share. The answer: focus, transparency, personalization, reversibility.
How Fullscript Built 1,500 n8n Workflows in One Year
How Fullscript Built 1,500 n8n Workflows in One Year
Fullscript's Director of Internal AI shares how a 1,000-person health tech company scaled to 1,500+ n8n workflows—and what actually made it stick.
NotebookLM Gets an Agent OS Upgrade—Here's What That Means
NotebookLM Gets an Agent OS Upgrade—Here's What That Means
Julian Goldie's new NotebookLM workflow pairs it with Hermes, Obsidian, and Hyperframes. Here's what the setup actually does—and what to think about before building it.
Graph Neural Networks: The AI Behind High-Stakes Decisions
Graph Neural Networks: The AI Behind High-Stakes Decisions
GNNs power fraud detection, drug discovery, and content moderation. Here's what their architectural limits mean when deployed systems get it wrong.
Agentic Engineering: The 5-Pillar Framework for 2026
Agentic Engineering: The 5-Pillar Framework for 2026
IndyDevDan's 5-pillar agentic engineering framework is technically sharp—but who actually gets to build these systems, and at what cost to the OSS tools underneath?
When AI Agents Attack Your Own Infrastructure
When AI Agents Attack Your Own Infrastructure
OpenAI's data platform lead Emma reveals why AI agent adoption creates a hidden infrastructure crisis—and what platform teams can do before it buries them.
Who's Watching the AI Agent at 3am?
Who's Watching the AI Agent at 3am?
AI agents now run unsupervised for days on remote servers. Samira Okonkwo-Barnes examines the governance gap this infrastructure creates—and who's liable when things go wrong.
AI Benchmark Scores Are Broken. Here's Who's Fixing Them.
AI Benchmark Scores Are Broken. Here's Who's Fixing Them.
AI benchmark scores are less trustworthy than they look. Google DeepMind's Kaggle team is building open infrastructure to fix that—here's what you need to know.