1/8 Mythos / Glasswing is clearly the main AI security story now: AI finding real vulnerabilities in existing production code. For most teams, though, this question is more immediate: Can an agent like Claude Code write a secure app in the first place?

The Claude Code leak shows a clear divide: select vendors gain small but compounding advantages. Everyone else gets generic UX install friction. Direct impact on roadmaps and GTM.

1/9 The most interesting thing about the Claude Code leak for devtool companies: Anthropic hardcoded 120 vendor names across 7 different systems in the source. Anthropic explicitly included your tool name in the code (or they didn’t 🤷🏻‍♂️) Thread 👇

1) Winners & losers from our OpenAI Codex vs Claude Code Picks benchmarks

Past category winners relied heavily on marketing and sales, and GTM still matters to get in front of coding agents. But agents won't keep using you unless you actually make them better (since the agents are trained with their harness). That shifts long-term value toward real product quality, not just distribution.

1/9 Winners & losers from our Claude Code Picks benchmarks that measure what Sonnet 4.5, Opus 4.5, and Opus 4.6 default to when building apps.

@vikati and I analyzed 2,430 Claude Code repo decisions. Claude Code never picked AWS or GCP for deployment. If agents are writing the first version of new projects, they’re influencing which tools get adopted at scale.

🔍 Google AI Mode vs ChatGPT → same question, different answers. We tested 792 shopping queries: 1️⃣ They agreed only 47 % of the time. 2️⃣ ChatGPT flipped its answer all the time (training data vs live retrieval). Expected or surprising? 🤔 Full charts & study 👇

1/ AI is changing how brands appear in search. Try searching "best acoustic guitar under $500" in Google, ChatGPT, and Perplexity. You'll get three completely different sets of recommendations citing different sources