Same - I had some "AI-assisted coding interviews" where I had to bring my own AI tools, and found the speed of codex-spark to be important for making progress quickly (and not sitting there waiting on Opus to think for 10 minutes).
I recommend reading a book about consulting, e.g. in McKinsey's style.
Your PM job will be a lot more about influence and communication.
Influence is often about getting people to trust you and get the last 10% done. Prepare to spend 3 months on a very technically-difficult project, then have the CEO rip apart your demo because the copy on the first screen isn't what he expects, without every getting deeper in to the product. That's the last 10% and your job is getting your tired team to care about it.
The way decisions are made will be significantly different compared to the egalitarianism of engineering. Understanding how your organization makes decisions and adapting to it is key to success as a PM. (Consensus? Founder mode? Disagree and commit?)
Good PMs make impact and at the end of the day. Your career is almost entirely dependent on your manager's subjective opinion of your work. You'll need to learn to "manage up" - ensuring that your manager agrees with your decisions and thinks that you have had impact.
The persona that fails in PM is the pseudo-academic who was told they were smart as a kid, and can't hustle, make a decision, or sell others on their ideas. You need to be prepared for conflict.
> We have experienced an increase in temperatures within a single data center, which in some cases has caused impairments for instances in the Availability Zone.
We talk about Sam Altman a lot. At this point he has a Hollywood movie in post-production, a book ("The Optimist"), and a seemingly endless stream of profiles. It feels intellectually lazy to keep researching the same guy when the industry is moving beyond him.
All evidence today suggests Anthropic is passing OpenAI in relative and absolute growth. So where's the critical reporting? The DOD coverage was framed around the Pentagon's decisions, not Anthropic's. And nobody seems interested in examining whether the company that branded itself as the ethical AI lab actually is one. That seems like a story worth writing.
I built Chroma's integration for Stripe Projects. Took two or three days to get it integrated and live.
As a developer tool, integrating Stripe Projects felt a lot like adding "Sign in with Google" - Stripe acts as a trusted identity and billing provider, but for agents instead of humans. The core insight is that agent commerce is a trust problem: an agent can't (shouldn't?) enter a credit card or verify an email, so you need a trusted third party to KYC both sides. Stripe already has that relationship with both developers and customers.