@juanhenaoparra: These are the accounts I read the most about AI. 1. @bcherny: leads Claude Code at Anthropic. Shares in first person ho…
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A curated X thread listing the 10 accounts the author reads most for AI news, covering leaders like Anthropic's Claude Code team, LangChain's CEO, and builders testing new models and agent setups.
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Cached at: 10/16/26, 06:46 PM
🧵 These are the accounts I read the most about AI.
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@bcherny: leads Claude Code at Anthropic. Shares in first person how he programs with Claude: real prompts, formal verification with Lean/TLA+ and how the team works from the inside.
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@hwchase17: CEO of LangChain. Thinks out loud about harnesses, memory, async subagents, evals and model routing, with numbers from his own agents in production.
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@LangChain: updates on LangSmith and Deep Agents, and cases of companies already running agents in production (evals, traces, long context).
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@rauchg: CEO of Vercel. Data on how agents are already deploying and buying infrastructure, and opinions on CLIs, Rust and how to design software for agents.
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@amasad: CEO of Replit. Product vision on agents that build apps and businesses, security in desktop apps with AI and the impact of AI on the economy.
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@santtiagom_: in Spanish, from MercadoLibre. Explains agent concepts (durability, prompt injection, permissions) and shares guides and papers worth saving.
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@MatthewBerman: tests new models the day they come out and shows how they perform on real tasks. Useful for getting a quick idea before trying them yourself.
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@0xMovez: threads and long articles on setups with Claude: skills, MCPs, reverse engineering, motion design. Very enthusiastic tone, but the resources he shares are concrete.
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@kirillk_web3: daily AI news and open source repos moving on GitHub. Good for not missing what’s happening.
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@ParamSiddh: AI engineer with short opinions on vibe coding and which model to use for each thing (planning, executing, reviewing).
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