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How Claude Code Creator Boris Cherny Actually Uses Claude Code: 40 Productivity Secrets Revealed Boris Cherny invented Claude Code. He runs it as Head of Claude Code at Anthropic. And between January and February 2026, he opened the hood and showed exactly how he uses it every day across 40 tips in a four-part series. The developer community's reaction? "Developers are losing their minds." This post distills every major insight from Boris's public tips, Anthropic webinars, the InfoQ interview, Lenny's Newsletter feature, and the official How Anthropic Teams Use Claude Code blog post. If you use Claude Code — or plan to — this is the closest thing to a masterclass from the person who built it. Who Is Boris Cherny? Boris Cherny is a Member of Technical Staff at Anthropic Labs and the creator of Claude Code. He currently serves as Head of Claude Code, making him the person most responsible for Claude Code's direction, design philosophy, and internal adopti...

Anthropic Acquires Vercept: How This $50M Deal Is Reshaping the Future of Computer Use AI On February 25, 2026, Anthropic quietly announced the acquisition of Vercept, a Seattle-based Computer Use AI startup founded by elite researchers from the Allen Institute for AI (AI2). The deal, valued at approximately $50 million, might look modest compared to Anthropic's recent $30 billion Series G raise. But its strategic weight is anything but modest. This is not a feature purchase. It is a foundational move in the race to build AI agents that can operate computers as fluently as humans do. Claude's OSWorld benchmark score jumped from 14.9% in late 2024 to 72.5% as of February 17, 2026—reaching human-level parity in under 16 months. Vercept's pixel-level UI recognition technology is now the fuel Anthropic intends to use to push that number higher, faster. Here is what the acquisition means, who it affects, and where this is all heading. What Is Vercept? The AI2 Dream Team Be...

The AI That Understands Physics: A Complete Guide to World Models in 2026 Your AI assistant can write a sonnet. It can debug code. But ask it why a basketball bounces off a backboard, and it guesses — it doesn't know . That gap between language fluency and physical understanding is exactly what World Models are designed to close. Yann LeCun, who just left Meta to found AMI Labs with a €3 billion valuation, put it plainly: "LLMs predict the next word. World Models predict the next state of the world." In 2026, NVIDIA, Google DeepMind, OpenAI, Meta, and Fei-Fei Li's World Labs are all racing to build them. Here's what that means — and what you should do about it. What Is a World Model? A World Model is a neural network that simulates how the physical world behaves. NVIDIA defines it as "an AI model that understands how the physical world operates — gravity, inertia, collision dynamics." It takes video, images, sensor data, and text as input, then ge...

5 Ways Claude Sonnet 4.6 Delivers Flagship AI Performance at One-Fifth the Cost Anthropic launched Claude Sonnet 4.6 on February 17, 2026 — and the benchmark numbers demand attention. On OSWorld-Verified, the industry's toughest computer-use test, Sonnet 4.6 scores 72.5% versus GPT-5.2's 38.2%. That 34-point gap is not a rounding error. It signals that agentic AI has crossed a practical threshold. What makes this genuinely disruptive is the price tag. Sonnet 4.6 costs $3 input / $15 output per million tokens — exactly one-fifth what Anthropic charges for Opus 4.6 ($15/$75/M). Yet Sonnet 4.6 beats Opus on office work, finance analysis, and mathematics. You are paying less for more. This report breaks down five key innovations in Sonnet 4.6, the benchmark data you need to evaluate it, and a practical guide for enterprise adoption. What Is Claude Sonnet 4.6? Claude Sonnet 4.6 is Anthropic's mid-tier model, released February 17, 2026. "Sonnet" traditionally s...

Three AI giants announced India expansions within the same week. A new reasoning model launched that directly challenges OpenAI's o-series. And researchers quietly proposed evaluation criteria that could change how every enterprise selects AI models for agent pipelines. This wasn't a slow week for AI. This report covers the week of February 13-20, 2026: what happened, why it matters, and what it signals about where AI is heading in the next 12 months. The Week's Defining Theme: Practicalization at Scale AI practicalization is the defining trend of 2026. Companies are no longer competing primarily on benchmark scores. They're competing on deployment velocity, market reach, and workflow integration depth. This week's news - Gemini 3.1 Pro, Lyria 3, three simultaneous India expansions, and enterprise agent announcements - all point to the same shift: AI moving from research labs into real business operations. The research papers this week reinforce the pattern. Ch...