What shipped & dropped across AI labs, today.

Claude Blog2d ago

The AI-Native SDLC playbook

How to transform your software development lifecycle with AI—stage by stage.

Claude Blog3d ago

Anthropic’s approach to teaching and learning AI

Claude Academy gives users the educational tools they need to learn how to use AI effectively. In this post, we highlight why we’re launching it and how our own approach to teaching and learning influenced its development.

Claude Blog3d ago

How monday.com transformed its platform into an agent-first product where humans and agents collaborate

The monday team shares lessons from the transition to an agent-first product after they rebuilt the platform around Anthropic's Claude.

Claude Blog3d ago

The Claude Code guide for startups

The five rules startups use with Claude Code to ship like teams 10x their size—Anthropic's guide to AI-native building, from everyone-ships culture to AI-native SDLCs.

Claude Blog5d ago

The Claude Science product guide

We share how to use Claude Science, including setting up common workflows, new life sciences skills, and popular database connectors.

Claude Blog9d ago

Maximizing the value of your Claude Code sessions

Practical tips for how to run efficient sessions that get the most value from every token.

Google AI for Developers24d ago

How to use Google microbenchmarks for evaluating TPU performance

Google's open-source TPU microbenchmark suite provides developers with granular performance metrics across Network, Compute, HBM, Host Transfer, and Attention components to validate real-world hardware capabilities. By leveraging these benchmarks to establish a Roofline model, engineers can accurately diagnose whether their machine learning workloads are compute-, memory-, or network-bound. This empirical baseline directly guides targeted software optimizations—such as kernel tuning, mesh sharding, and rematerialization—to maximize hardware utilization for large-scale model deployments.

Claude Blog30d ago

Claude models explained: choosing the best model for your use case

Anthropic's guide to choosing the best Claude model for your use case — how Fable, Opus, Sonnet, and Haiku differ in intelligence, speed, and cost, and when to use each.

Claude Blog30d ago

The new rules of context engineering for Claude 5 generation models

We removed over 80% of Claude Code's system prompt for more advanced models. How to apply the lessons we learned to your own context engineering in Claude Code and with your own agents.

Claude Blog33d ago

How Anthropic secures its AI-native software development lifecycle

Anthropic Deputy CISO Jason Clinton details how the Security Engineering team secures an AI-native SDLC where AI authors 80% of merged code.

Claude Blog38d ago

Working with Claude Fable 5 in Claude Cowork

Anthropic's Claude Fable 5 can carry long, complex work on its own. Here's how to get the most out of it in Claude Cowork.

Claude Blog47d ago

Choosing a Claude model and effort level in Claude Code

Anthropic's guide to the Claude Code effort level and model selection: when to raise or lower effort—low, medium, high, and max—and how to choose between Claude Fable, Opus, and Sonnet.

Claude Blog48d ago

A field guide to Claude Fable 5: Finding your unknowns

Practical patterns for agentic coding with Claude Fable: how to find your unknowns before, during, and after implementation, from the team at Anthropic.

Google DeepMind53d ago

Our approach to bioresilience

Claude Blog54d ago

Loop engineering: Getting started with loops

Loop engineering with Anthropic's Claude Code: design turn-based, goal, time, and proactive agent loops that run to a stop condition.

OpenAI54d ago

Core dump epidemiology: fixing an 18-year-old bug

OpenAI engineers used large-scale core dump analysis to debug rare infrastructure crashes, uncovering both a hardware fault and a long-standing software bug.

Claude Blog60d ago

Building effective human-agent teams

The way we work with AI is evolving from a single-player to a multiplayer experience, where humans and agents work together as a team to achieve shared goals. The Anthropic team shares examples of this new way of working in action.

Claude Blog60d ago

Agent identity in Claude Tag: a new access model for autonomous, team-wide AI

How Claude Tag’s agent identity access model works, and best practices for configuring it in your team’s workspace.

OpenAI72d ago

How Preply combines AI and human tutors to personalize learning

Preply uses OpenAI to launch AI-generated lesson summaries, providing personalised feedback and language learning exercises.

Claude Blog79d ago

The Claude Cowork product guide

We share how to get started with Claude Cowork, from setting up the tool to kicking off your first task.