AI — Page 17
Artificial intelligence, machine learning, LLMs, and AI tools transforming development.
A Factory Built Its Own AI Brain Without Data Scientists
Rushabh Doshi built a 36-agent AI system to run Machinecraft's sales ops—no data team, no custom model training. Here's what he actually built, and what it can't tell you.
Bun Rewrites in Rust, and Zig's Creator Responds
Bun Rewrites in Rust, and Zig's Creator Responds
Bun 1.4 is now written in Rust. Jared Sumner explains why. Andrew Kelley responds. The technical debate is interesting. The governance story is more important.
How YC's Head of Design Works With AI Agents
How YC's Head of Design Works With AI Agents
Eve Bouffard, YC's head of design, shares her AI-first workflow—voice input, soul.md files, disposable prototypes—and what it means for design as a practice.
GPT-5.6 and Codex: What the Hype Tour Reveals
GPT-5.6 and Codex: What the Hype Tour Reveals
Julian Goldie's GPT-5.6 tutorial maps a genuinely new agentic workflow — but what it leaves unsaid about open source and agent governance matters just as much.
Grok 4.5 Benchmarks, Costs, and Coding Performance
Grok 4.5 Benchmarks, Costs, and Coding Performance
Grok 4.5 is cheaper than GPT 4.5 and Claude Opus 4 — but does that make it the right coding model? A clear-eyed look at what it actually delivers.
Booking Holdings CEO on AI, Scale, and Survival
Booking Holdings CEO on AI, Scale, and Survival
Booking Holdings CEO Glenn Fogel survived the dot-com crash and now faces the AI wave. His take on moats, agentic travel, and job displacement is worth your time.
Claude Code Loop Types: A Practical Breakdown
Claude Code Loop Types: A Practical Breakdown
AI LABS maps five Claude Code agentic loops—from stateless to self-improving—and explains which use case each one is actually built for.
Why AI AppSec Needs Organizational Context to Work
Why AI AppSec Needs Organizational Context to Work
AI finds more vulnerabilities than ever—but without organizational context, it still can't tell you which ones actually matter. Here's what that gap costs.
Forward Deployed Engineers: AI's Hottest Role, Examined
Forward Deployed Engineers: AI's Hottest Role, Examined
The FDE role is everywhere in AI career content right now. Here's what it actually involves, who it's genuinely right for, and what the hype obscures.
Swyx on Agent Loops and the Limits of Token Maxing
Swyx on Agent Loops and the Limits of Token Maxing
Swyx argues developers should build loops that generate prompts, not just prompts. But the real insight is about what humans still can't hand off.
OpenAI Launches GPT-5.6 Sol, Terra, and Luna Models
OpenAI Launches GPT-5.6 Sol, Terra, and Luna Models
OpenAI's GPT-5.6 family—Sol, Terra, and Luna—is rolling out globally. Real users, real tasks, real questions about what "capable" actually means.
Grok 4.5: What the Speed Claims Actually Mean
Grok 4.5: What the Speed Claims Actually Mean
xAI's Grok 4.5 promises faster AI coding and office work. Here's what the efficiency claims actually mean—and what to verify before believing them.
dcode and Nemotron 3 Ultra: Open Models Meet Enterprise
dcode and Nemotron 3 Ultra: Open Models Meet Enterprise
LangChain's dcode pairs with NVIDIA's Nemotron 3 Ultra for enterprise agent engineering—but the real tension is who controls the observability layer.
Using Claude Fable and GPT Sol Together for AI Coding
Using Claude Fable and GPT Sol Together for AI Coding
Chase AI's four-stage workflow pairs Claude Fable's planning with GPT Sol's execution. Here's what the approach actually involves—and where the questions remain.
Hugging Face ML Intern Automates AI Development
Hugging Face ML Intern Automates AI Development
Hugging Face's ml-intern is an open-source agent that automates the full ML research loop. Here's what it does, what it can't, and what it signals.
Small Language Models Are Reshaping Agentic AI
Small Language Models Are Reshaping Agentic AI
Small language models are outperforming larger rivals on key AI agent benchmarks. Here's what the efficiency shift means for how AI gets built and deployed.
Building AI Agents From Scratch: An Honest Assessment
Building AI Agents From Scratch: An Honest Assessment
A new freeCodeCamp course from KodeKloud walks beginners through LLMs, tool-calling, and real agent architecture using the open-source OpenClaw project.
Claude Agent OS: Building AI Systems That Outlast the Models
Claude Agent OS: Building AI Systems That Outlast the Models
Julian Goldie's Claude Agent OS connects multiple AI agents through shared memory and model-agnostic orchestration. Here's what the architecture actually does—and why it matters.
Data Scientists Are Shifting From Building to Managing AI
Data Scientists Are Shifting From Building to Managing AI
The data scientist's job is changing fast—from building ML models to governing AI systems. Here's what that shift actually means for careers and organizations.
AI Is Now Making Microdrama, and the Math Is Brutal
AI Is Now Making Microdrama, and the Math Is Brutal
A new AI workflow lets one creator produce a full microdrama season in hours. The $11B format may never need a human crew again—here's what that actually means.