AI allows engineering teams to generate more code than they can reasonably review. This creates a real problem that goes beyond just code quality, our Chief Product and Technology Officer Jody Bailey shares with CTO Uncovered, especially when important technical judgement lives
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- While almost every industry uses some AI in their work, fintech (55%) and media and advertising (50%) come out on top when it comes to daily agentic AI usage, with energy (17%) being the industry with the lowest percentage of daily agentic AI users, according to our latest tech
- What even is AI context architecture? In this No Dumb Questions, Phoebe asks Stack’s Engineering Manager Doug Whitley and Product Manager Ash Zade everything she wants to know about AI context architecture. Why is it so important? What makes for good AI context architecture? Why
- 🎙️ We're joined by @coderhq’s Rob Whiteley to chat about why tokenmaxxing isn’t proving real value and just triggering Goodhart’s Law, how release speed and PR merges can help you measure agentic outcomes with or without a human-in-the-loop, and what the democratization of skills
- 🎙️ We welcome McLaren Stanley @StanTwinB, Senior Principal Engineer for @amazon Stores, to discuss what it actually takes to make teams AI native, why agentic engineering is shifting code bottlenecks downstream to testing and deployment, and why robust validation is essential to

