Perspektiven
Ideen und Standpunkte dazu, wohin sich KI entwickelt – von Entwicklern und Führungskräften, die durchdenken, was als Nächstes kommt.
Ausgewählte Ressource 1 von 5: Product development in the agentic era
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DRI-ing Your Career
Your career is yours. It always was - but when the market was hot, it didn't seem like you needed to think about it.
AI as an Engineering Leadership Multiplier
Most conversations about AI in engineering focus on how the IC role is changing, but the engineering leadership role is adapting…
Agents you can coach: how Asana builds human-agent teams with Claude
Arnab Bose, Chief Product Officer at Asana, on how Asana runs AI agents as teammates with scoped roles, shared memory, and work that everyone can see.
Automating eval design and hillclimbing with Claude
Principles for designing evals and hillclimbing against them without fooling yourself, and how the claude-api skill's build-eval and hillclimb commands put them to work.
Using Claude Code: Spending your effort
What effort really is and when to use which level in Claude Code, from my own tests of three builds and a deep dive into Terminal-Bench 3.0 on Opus 5.5 and Fable 5.1.
Coding sessions are longer and use more context. Claude Opus 5.5 is built with that in mind.
Our latest Opus model is priced and trained to optimize costs for how developers code now.
How to prepare for AI-driven code modernization projects
How to organize AI-driven modernization projects for critical systems and regulated enterprises.
How to Roadmap with Decisions Rather Than Dates
Many of the "best practices" of engineering leadership have been built around managing dates, timelines and priorities. However,…
Enterprise Readiness: A CISO's Guide to Deploying Claude
The best security teams don't block AI. They lead the rollout, with full visibility into who uses it, what data it touches, and…
Deploying AI from pilot to production
In this guide, written with Accenture, we share seven considerations for taking enterprise AI from pilot to production, and the decisions leadership needs to make to get there.
Agentic coding is straining CI. Here’s how we scaled test impact analysis at Anthropic
Our CI job volume increased 25x over 6 months. We patched our test selection service three times before finding a sustainable solution.