Reverse Engineer Anything.AI agents can now read a lot of what you ship. Here's what still counts as a moat, and what to build instead. Plus, this week's AI news.Amjad Masad is the CEO of Replit, and he called out a trend we have to talk about: People are reverse engineering Adobe products, decompiling GTA V to run it on different devices… AI is “coming for everything and everyone.” So the question you should be asking is: What moats are really left in software? That's today's deep dive. But first, a word from our sponsor + the week's top news. In Partnership withAmplitude Custom AgentsWhen I ran growth teams at thredUP, we were obsessed at checking our funnel when something broke. What if you had a custom agent monitor your funnels for you 24/7? That’s been the promise of AI, but implementing it has been hard. Amplitude’s Custom Agents change that. You point your custom agent at a job, like checkout drop-off, and connect your stack. Agent Connectors then pull in all the relevant context - PRDs, tickets, and conversations about the funnel. When it finds something, it creates a Linear ticket all on its own. You can run your Custom Agent on a schedule, or whenever you want. You can grab a template, or build your own. I’d start with the checkout drop-off investigator already in the agent library. Check them out. They’re free in open beta for all customers → This Week's AI NewsThe Week's Top News: Meta released its first frontier modelMeta has burst back into the AI race with a frontier model, Muse Wonder. Put together with its new Muse agent, Meta has burst back into the AI race in a real way. The Artificial Analysis Intelligence Index is striking. Anthropic owns all the top models, Meta’s Muse Wonder Full is next, then OpenAI’s GPT 6 Astra, then Gemini’s 4 Argon, then Meta’s Muse Wonder: Meta isn’t even selling Muse Wonder Full tokens. Those are only available inside Muse Code. Meta is only selling the smaller model, Muse Wonder, priced at $4 in and $20/M out. So it is priced like Opus-5.5. But it doesn’t deliver that performance, as you can see from the chart above: 54 vs 52. |