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The creator of Claude Code just revealed his workflow, and developers are losing their minds

View original at venturebeat.com
The creator of Claude Code just revealed his workflow, and developers are losing their minds <p>When the creator of the world's most advanced coding agent speaks, Silicon Valley doesn't just listen — it takes notes.</p><p>For the past week, the engineering community has been dissecting a <a href="https://x.com/bcherny/…
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  • If you're not reading the Claude Code best practices straight from its creator, you're behind as a programmer

    80% confidence

  • Running 5 Claudes in parallel in terminal using numbered tabs and system notifications

    80% confidence

  • Claude tests every single change to claude.ai/code using Chrome extension, opens browser, tests UI, and iterates until code works and UX feels good

    80% confidence

  • Read this if you're already an engineer and want more power

    80% confidence

  • Team maintains CLAUDE.md file where any incorrect behavior is documented so Claude won't repeat mistakes

    80% confidence

  • Uses Opus 4.5 with thinking for everything because it's the best coding model, and despite being slower, it's faster overall due to less steering needed

    80% confidence

  • Uses /commit-push-pr command dozens of times daily to automate git workflow

    80% confidence

  • Runs 5-10 Claudes on claude.ai in browser and uses teleport command to hand off sessions between web and local machine

    80% confidence

  • With Cherny's game-changing updates, Anthropic is on fire and potentially facing their ChatGPT moment

    80% confidence

  • Every mistake becomes a rule in the CLAUDE.md system

    80% confidence

  • Giving AI a way to verify its own work improves quality of final result by 2-3x

    80% confidence

  • Anthropic's strategy is to do more with less

    80% confidence
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Enterprise AI Agents Scale Up Through Partnerships and Funding, But Data Readiness Lags Ambition
A wave of vertical AI-agent startups (Swarm, Veridox, Avallon AI, DA2, F2, Earthian, Meanwhile, Covecta, Penguin AI, Maisa AI) is being funded and profiled just as major infrastructure players — Microsoft/Mistral, Siemens/NVIDIA, and Manulife/Microsoft — cement enterprise AI governance and compute partnerships. Yet a Google Cloud report shows AI agents still lack access to the majority of company data (only 45% on average), and insider selling at incumbent C3.ai signals investor caution even as adoption intent (100% planned agentic AI use within two years) races ahead of actual data infrastructure.
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EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
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Berkshire Hathaway
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