AI — Page 37
Artificial intelligence, machine learning, LLMs, and AI tools transforming development.
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.
Claude Mythos, GPT-5.6, and DeepSeek's Pricing Bomb
Claude Mythos, GPT-5.6, and DeepSeek's Pricing Bomb
Claude Mythos 1, Opus 4.8, and GPT-5.6 are all pointing toward a chaotic June. Plus: DeepSeek just repriced the entire API market. Here's what's real.
Five Ways AI Can End Your Career at Work
Five Ways AI Can End Your Career at Work
Shadow AI, hallucination laundering, zombie agents—IBM's Martin Keen maps the AI workplace risks that have already cost people their jobs. Here's what they actually mean.
FOMAT: When Your AI Agent Follows You Home
FOMAT: When Your AI Agent Follows You Home
Michael Richman's Cmd+Ctrl lets you manage AI coding agents from your phone. The right-to-disconnect questions it raises may matter more than the features.
Inside Google DeepMind's Messy Reality of AI Agents at Scale
Inside Google DeepMind's Messy Reality of AI Agents at Scale
Google DeepMind engineers have worse token quotas than paying customers. KP Sawhney and Ian Ballantyne reveal what running AI agents at Google scale actually looks like.
Anthropic's Mythos 1: Power, Leaks, and Mixed Signals
Anthropic's Mythos 1: Power, Leaks, and Mixed Signals
Mythos 1 found 10,000+ critical vulnerabilities in 30 days. Now it's leaking into Anthropic's products—days after they said it wouldn't be released.
When Your AI Agent Fails 17% of the Time
When Your AI Agent Fails 17% of the Time
Anthropic's workshop on agent architecture drift reveals a 17% failure rate with real regulatory implications for enterprises deploying AI in supply chains.