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Memory prices are up more than 6x in a year. AI is making software development more efficient while making the infrastructure underneath it more expensive. That's a major shift in the economics of computing. Source: axios.com/2026/08/11/chips-m…

AMD's earnings show how connected AI and gaming have become. The same chips and memory power both markets. As AI demand grows, it reshapes the economics of gaming hardware too. That's a trend worth watching. Link: theverge.com/tech/975381/amd…

I don't think AI automatically makes you a better engineer. It can make you a lot more productive, but it can also send you down some reallllyyyyy unproductive rabbit holes. I'll just say that the difference between the two outcomes usually isn't the tool...

The more context AI has, the more useful it becomes. Imagine an AI that understands every project you've worked on, every decision you've made, and every lesson you've learned. That's where things start to get really interesting.

If I'd had AI when I started coding at eight, I probably would've built a lot more. I also would've had to learn when to trust it and when to question it. That's a skill every developer is building right now.

AI is becoming another layer of the engineering stack. Every major abstraction has expanded what developers can accomplish. AI is doing the same. That's the mindset we've adopted at Atlas Reality and Tesoro, and it's changing how we build software every day.

AI agents are improving fast. The opportunity comes from matching autonomy to the level of trust you've earned through real-world use. That's how we've approached AI at Atlas and Tesoro, and the technology keeps getting more capable every month.

AI accelerates execution. The opportunity now is accelerating experience. Every industry still needs architects, technical leaders, and founders. Building that next generation may become one of the biggest challenges and opportunities of the AI era.

AI is becoming a force multiplier for expertise. The people who benefit most already have years of experience to guide the output. The challenge is figuring out how future architects, technical leaders, and founders develop that same expertise.

One of the best ways I've heard AI described is as the next abstraction layer in software development. We used to write closer to the machine. Today, we can describe outcomes in English and generate working code. The leverage comes from knowing how to evaluate what comes back.