Anthropic-powered autonomous coding agent. Strong tool use and planning and memory and self-correction capabilities.
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While 36% of AI users report using it for work, only 18% have employer-provided AI access. This gap indicates substantial bottom-up workplace adoption through personal subscriptions and free tiers.
Anthropic's Claude Code achieved a $1 billion run rate in just six months, demonstrating the massive demand for AI-powered coding tools among prosumer and technical users.
Code generation has become AI's first true 'killer use case' with $4 billion in spending (55% of departmental AI). 50% of developers now use AI coding tools daily, with Cursor capturing significant share from GitHub Copilot.
AgentBench evaluation reveals GPT-4 class models achieve ~44% overall success rate across 8 real-world agent environments, while open-source alternatives score 15-30% lower. Operating System and Database tasks show the largest capability gaps, highlighting the challenge of autonomous agent development.
Claude Code has emerged as the most adopted AI coding agent, with developers citing superior code understanding, autonomous task completion, and seamless IDE integration as key differentiators.