22 articles matching your search.
The MCP vs CLI debate is missing the point. Local MCP is indeed overkill, but server-side MCP for enterprise auth, telemetry, and standardization is just getting started.
Anthropic made 1M context generally available for Claude Opus 4.6 and Sonnet 4.6 at standard pricing — no premium, no beta header. MRCR v2 score of 78.3% leads frontier models.
CanIRun.ai is a free web tool that maps AI model hardware requirements against your machine specs. With 762 upvotes on Hacker News, it covers everything from 0.5 GB edge models to 512 GB monsters.
METR had real open-source maintainers review 296 AI-generated PRs that passed SWE-bench tests. Roughly half would never make it to main. Here is what that means for how we evaluate and use AI coding tools.
A viral blog post mapped 8 levels of AI-assisted coding maturity, from tab completion to autonomous agents. After talking to 30 engineering teams, here is where most actually sit — and what to work on next.
Yann LeCun just raised $1 billion in Europe's largest-ever seed round. What this tells us about the AI industry's direction, the open vs. closed model debate, and why the foundation model race is far from over.
Six AI tools that were once popular have quietly faded or disappeared in early 2026. Their failures reveal uncomfortable truths about the AI industry and which products will survive.
A detailed breakdown of how a 12-person company discovered they were spending $19,020/year on AI tools — and cut 32% without anyone noticing.
A 3-person marketing agency in Austin produces more content than teams five times their size using AI. I embedded with them for two weeks to learn exactly how their system works.
AI agents are autonomous systems that don't just answer questions — they do things. Here's why 2026 is the tipping point and what it means for your business.