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Vibe Coding2026-09-19 · source-backed
Anthropic released the redesigned Projects beta September 17: a project is a coordinator chat plus worker threads, where Claude scopes the request, delegates, coordinates parallel threads over shared memory and a common file library, reviews outputs and assembles the result, with work continuing in the cloud after you step away. The coordinator and each worker thread take independently selected models and thinking-effort levels. The Register Per-thread effort selection is the direct lever on spend, and the effort table above tells you exactly how much each notch costs.
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Anthropic published two documents on September 17 that between them say more about recursive self-improvement than the last six months of essays about it. The first is the R&D Automation Index, a prototype from the Anthropic Institute that catalogues every kind of AI research...
Boris Cherny, quoted September 11: "Production code written by Claude should have a higher bar than if it was written by a human." He describes Anthropic backing that with layered lint rules, tests, automated review and security checks instead of trusting output. This runs dir...
Anthropic's September 10 report documents a small cell in northern Yemen using Claude Code to write guidance, navigation and control software across three simultaneous programs: a guided rocket using a commodity phone-class flight computer with terminal homing, a multi-stage b...
Go run git log --format=%B -20 | grep Claude-Session in a repo you've been agenting on. If you get hits, you've been publishing a trailer you never agreed to. A 270-upvote PSA on r/ClaudeAI documented that Claude Code appends a Claude-Session: git trailer to commits and drops...
Moonshot AI released Kimi K3, a sparse mixture-of-experts activating 16 of 896 experts per token. That's about 1.8% of the pool live at any moment, with a 1M-token context window and native vision. Two new architectural pieces show up: Kimi Delta Attention and Attention Residu...
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...
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