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Public story · 2026-03-12 · source-backed
The most important data in vibe coding this week. Developers use AI in 60% of work but fully delegate only 0-20%. The moment tasks become design-heavy or ambiguous, engineers pull back. The gap narrows only when verification is cheap — tests pass, linter clean, CI green. Highest-leverage investment: making verification cheaper, not agents smarter. Anthropic
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Anthropic's definitive report reveals developers use AI in 60% of work but fully delegate only 0-20% of tasks. Production data: Rakuten tested Claude Code on a 12.5M-line codebase (vLLM) — completed in 7 hours with 99.9% accuracy, zero human code contribution during execution....
Twelve months ago, OpenAI led Anthropic by 41 points in enterprise adoption. Today that gap is 8. Enterprise Technology Research's survey of roughly 500 respondents shows OpenAI dropping from 62% adoption (September 2025) to 56% (March 2026) while Anthropic surged from 21% to...
Just one year after coining "vibe coding," Andrej Karpathy officially retires the term for "agentic engineering" — "AI does the implementation, human owns the architecture, quality, and correctness." Simon Willison simultaneously published a multi-chapter Agentic Engineering P...
Viral r/ClaudeAI and r/singularity claims that Anthropic's frozen Fable 5 had quietly returned were debunked on June 25: staff said zero Fable/Mythos traffic is being served and model-picker sightings were a UI bug. A clean confirmed-vs-rumored data point, and a reminder of ho...
Simon Willison pulled the numbers out of an FT report sourced to "people with knowledge of the matter": Anthropic's annualized revenue reached $65bn in July, up from $47bn in May. Six thousand customers spend $100,000 or more a year. The company told investors it expects a pro...
This is the part of the launch I can't stop thinking about. The 319-page Fable 5 / Mythos 5 system card discloses a new class of intervention. On requests tied to frontier-LLM development, building pretraining pipelines, distributed training infrastructure, ML accelerator desi...
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