We compared Claude Code success rates between occupations. On our toughest measure of success—requiring verifiable evidence that a goal was completed, like committed code—every field was within 7 percentage points of software engineering.
AI
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Anthropic research tracks Claude Code usage, tasks, and expertise
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Our latest economic research introduces a framework for tracking Claude Code as it scales. Who is using Claude Code, and what are they using it for? How is the value of tasks changing? And how much does domain expertise shape whether a session succeeds?
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AI picks its favorite Y Combinator startups from 193
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What a world. Asked my AI to read the list of 193 new @ycombinator startups and it picked its favorites. Among other things:
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AI-Assisted OT Security Requires Friction, Feedback, and Accountability to Counter Cognitive Bias
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To prevent cognitive bias from undermining AI-assisted OT security, detection systems need built-in friction, feedback loops, and accountability mechanisms. #OTsecurity #humanfactors pic.twitter.com/K6oXIfmu65
— Lucian Fogoros (@fogoros) 16 juin 2026To prevent cognitive bias from undermining AI-assisted OT security, detection systems need built-in friction, feedback loops, and accountability mechanisms. #OTsecurity #humanfactors
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LangSmith to understand and improve your agents
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LangSmith lets your agents unpack.
— LangChain (@LangChain) 16 juin 2026
Understand what didn’t work out in production, identify what matters, and make continuous improvements. pic.twitter.com/CYUnq88jgbLangSmith allows your agents to fully express themselves. Understand what went wrong in production, identify what really matters, and make continuous improvements.
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AI AGENTS TEST YOUR LOCAL UNCOMMITTED CODE IN THE CLOUD
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AI AGENTS CAN NOW TEST YOUR UNCOMMITTED LOCAL CODE DIRECTLY IN THE CLOUD Zero commits. Zero pushes. No waiting for CI loops. … and it’s entirely open-source! A new project called Crabbox just dropped, and it fixes the slowest part of cloud-dependent development.
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Model crumbles due to weak infrastructure and pipelines
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Even a flawlessly tuned model crumbles under real-world production demands if the underlying data pipelines and legacy enterprise infrastructure can't support the required latency and continuous deployment cycles.
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Leak of the entire system prompt of Claude Fable 5
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🚨 ALGUIEN ACABA DE FILTRAR EL SYSTEM PROMPT COMPLETO DE CLAUDE FABLE 5.
— Nico (@nicos_ai) 16 juin 2026
Te explico qué es y cómo revivir Fable 5:
Anthropic lo lanzó el 9 de junio.
En menos de 24 horas el prompt ya estaba público en GitHub.
120.000 caracteres. 1.585 líneas. Más de 27.000 tokens.
Cada… https://t.co/haMz8haQLX pic.twitter.com/RuhkqFj7iU—
SOMEONE JUST LEAKED THE ENTIRE SYSTEM PROMPT OF CLAUDE FABLE 5. I'll explain what it is and how to revive Fable 5: Anthropic launched it on June 9. In less than 24 hours, the prompt was already public on GitHub. 120,000 characters. 1,585 lines. More than 27
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Leak of Claude Fable 5’s system prompt and resurrection method
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🚨 ALGUIEN ACABA DE FILTRAR EL SYSTEM PROMPT COMPLETO DE CLAUDE FABLE 5.
— Nico (@nicos_ai) 16 juin 2026
Te explico qué es y cómo revivir Fable 5:
Anthropic lo lanzó el 9 de junio.
En menos de 24 horas el prompt ya estaba público en GitHub.
120.000 caracteres. 1.585 líneas. Más de 27.000 tokens.
Cada… https://t.co/haMz8haQLX pic.twitter.com/RuhkqFj7iUSOMEONE JUST LEAKED THE ENTIRE SYSTEM PROMPT OF CLAUDE FABLE 5. I'll explain what it is and how to resurrect Fable 5: Anthropic launched it on June 9. Within 24 hours, the prompt was already public on GitHub. 120,000 characters. 1,585 lines. More than 27
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Detecting infrastructure gaps early ensures AI production success
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Spotting infrastructure gaps early makes all the difference when dealing with data volume and legacy bottlenecks. Building that strong foundation is exactly what separates successful production AI from permanent pilots.