8 items8 builders

AI Builders Digest

What the people actually building AI said today. One page — a 2-min read.

AI builders focused on what happens after generation gets cheap: securing software, reviewing code, and keeping agents useful over time. New slide tools and a plan to run Replit in customers’ own clouds made that shift concrete.

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Greg Brockman expects security spending to exceed software spending

Greg Brockman argues that cheaper software will make its reliability and security more valuable: “cyber spend, security spend should actually vastly outstrip software spend.” He says OpenAI assigned about 25 production engineers to use a frontier model to find and fix flaws in its infrastructure. He also describes DOTS, an always-on agent that tracks unfinished work across his inbox, calendar, and Slack.

  • #security
  • #agents
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Boris Cherny

Boris Cherny says Claude Code Review catches almost every bug in his PRs

Cherny says Claude Code Review runs on all his pull requests and catches almost every bug before it gets through. He credits it with helping his team move quickly while raising quality. He also says Claude Slides has become his way to make slide decks.

  • #coding
  • #products
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Aaron Levie

Box CEO

Aaron Levie sees an AI model improvement flywheel taking shape

Levie argues that AI is nearing the point where it can improve models more effectively than human engineers. He points to stronger models, longer-running agents, more data, and parallel testing as reasons model progress could accelerate sharply. He cautions that plans which ignore recursive self-improvement may be mistaken.

  • #research
  • #agents

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Source data comes from the open-source project follow-builders by zarazhangrui, released under the MIT license. Summaries are generated by an LLM from that project's public feeds, and the summarization prompts are adapted from it. Every item above links to its original source.

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