
Decisions from running platforms at Yahoo and Amazon, and measured numbers on the AI agent tooling your team is about to approve. Written by the person who has to sign off on it.
| Platform | Pricing | Only free issues | Publishes | Daily | |
|---|---|---|---|---|---|
| Issues | 108 | Founded | 4 months ago | Last Issue | 5 days ago |
| Active | |||||

Most platforms have a calendar rule about releases. No deploys after 3pm. No deploys before a holiday. No deploys on Friday.
Each rule arrived after a bad release. Each one feels like caution. Each one hides the same gap: the team does not...
An HR leader sent me a question recently. Should a company of 10 to 50 people hold the same hiring standard as a large tech company? And is that fair to the candidates?
It is a good question, because the two halves pull in different direct...
Make one decision before you read on.
You interviewed two people for a platform role. Candidate A is very good. Every interviewer liked them. Candidate B is less polished. But B is better than most of your current team at one hard thing....
We picked Claude over Cursor. That is the decision, and it is the only thing about how it ran inside Yahoo that I am going to say, because the evaluation itself is not mine to publish. What I can publish is the shape of the question, becaus...
The number people repeat from the Yahoo platform consolidation is the capex line: 150 million to 80 million. It is the right number to repeat. It is also the least useful thing to know about the decision, because nobody approves a 70 millio...
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The writers behind this newsletter.
Head of Engineering at Yahoo, running a content platform at 100M daily active users. Before that, 1.3 exabytes at Amazon. I measure the AI agent supply chain and publish the method. Advisory: calendly.com/haseebafsar
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