Staff backend engineer @ Hinge ex-etsy, ex-@google ҈̒̓̕҈̒̓̕҈̒̓̕҈̒̓̕҈̒̓̕҈̒̓̕҈̒̓̕҈̒̓̕҈̒̓̕҈̒̓̕҈̒̓̕҈̒̓̕҈̒̓̕҈̒̓̕҈̒̓̕҈̒̓̕҈̒̓̕҈̒̓̕҈̒̓̕҈̒̓
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The big divide is that a lot of AI companies also have super demanding hours, by virtue of being startups and fighting for position in the market. Feels like the job market is segmented into (Money + AI company) vs (Time + traditional company with a hybrid execution model) now
Today's management tip is that if you aren't an "AI company," all of your employees are currently considering whether they should leave you for an "AI company."
"AI company" is defined as "posts on X / podcasts all the time about AI"; it is not a revenue or traction metric.
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Jacob Voytko retweeted
BREAKING: Anthropic has filed for an IPO, per Reuters
Community note
Anthropic has not filed a public IPO registration. Reuters obtained and exclusively reported details from a non-public prospectus; no Form S-1 for Anthropic PBC appears on SEC EDGAR.
reuters.com/business/finan…
anthropic.com/news/confident…
sec.gov/cgi-bin/browse…
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Interestingly, I just got my first winback email outreach from Anthropic almost immediately after Sonnet launched
ALT Email ad from Anthropic, "Get 50% off your first month back -- do more with Claude on Pro and Max, now with higher 5-hour limits on every model. There's more room to work in each session, and you'll also get access to Claude Opus 5.5"
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OpenAI dev days predictions
- $500 plan. 3x usage the $200 plan and Tibo has to respond to one of your tweets per month
- Felony mode: run a swarm w/o guardrails
- The world's buggiest desktop app. In 2 weeks you will learn that your company's analyst runs their whole life on it
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Trying my first "and rewrite it in Rust" port of my now-9000 line Python vibecoded workspace switcher I use for side project stuff
I love it but god it's getting slow
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Jacob Voytko retweeted
That DHH saying out loud that the age of writing code by hand is over for the industry, and causing such a huge uproar is a bit interesting, given this was clear enough since ~January for most of us using the models + paying attention.
Removed paywall: newsletter.pragmaticengineer…
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kinda surprised to see the sentiment on ChatGPT Sol 6 being so negative on Reddit... I had it tackle some feature work yesterday for my side project and do a performance investigation and it aced both. Is it bad at specific types of tasks or something?
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gpt-6-sol and gpt-6-luna just appeared in my personal Codex account
That didn't take long!
ALT a screenshot of the openai model switcher showing the gpt-5.6 and gpt-6 luna and sol living side by side
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The next Jev will be a time series classifier. People will use it as an edge detector to activate ops agents to investigate abnormalities.
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Also wouldn't be surprised if the current Jev could do this in some way, but I've seen enough people post weird numerical Jev results to be skeptical
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Way off topic but I recommend doing what that L7 manager did; if you can't do a project in a week or two it's very likely your intern is being set up to fail with a project that's way too large for them
this is like when my L7 manager at google did my internship project the week before i joined but let me spend the entire summer solving it anyway
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Bear case for OpenAI/Anthropic: Anytime I ask myself "Could Jev help us avoid or reduce $huge_amount in LLM spend?" the answer is usually "oh, most definitely"
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After using a lot of Opus, Fable, Sol, and Astra, it really feels like Sol is the only model you could just default to and never need to change it when on the $200 plan
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Scrum is a reasonable default for organizing a new team (it's way better than "no organization at all"), but the team's not functioning at a high level if it never grows out of / customizes Scrum to meet its own needs
Scrum made sense at companies/teams that shipped a new version of their product every 2-3 months (or less frequent)
As soon as a team got to shipping daily or had CD: they only held teams back
Most startups + Big Tech moved on a decade+ ago, legacy companies remained only
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A strict implementation of Scrum makes dozens of decisions about how work should be done. The odds that every single facet exactly meets your team's needs is approximately zero
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