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Built a thing I've started living in recently, and open sourced it: github.com/umangjaipuria/red…
My interaction with agents has moved mostly into docs. They write them, we discuss, they edit and on and on. Sometimes they build what's in the doc, other times the doc is what ships.
And thanks to Thariq and the Claude Code team, these docs are now beautiful html.
But I didn't have an easy way to
- give feedback on specific parts
- ask questions about a paragraph
- ask it to simplify something
- or add more detail (collapsible sections in html are chef's kiss)
Redline lets you leave comments in html docs, and lets agents read those comments and reply as they edit the doc.
Runs locally, state stored in your html files, easily checked into your repo. No db, no 3rd party server, nothing.
It was fun building Redline - I was the user and the builder simultaneously. Literally was giving stream-of-conscious feedback to Codex (sometimes Claude Code) in one window while using the app with another CC instance as we worked on a fairly complex doc.
Much ink has been spilt on how the Product Manager role is changing in the age of AI, but very little on how engineering or design has changed.
Some of that is because PMs like to spill ink over everything.
You would expect in a world of “no one writes codes by hand” the role would have changed, but I suspect it hasn’t. They are doing the same things differently, but not doing different things.
To be clear, I’m not saying these roles shouldn’t change, just that they don’t seem to be changing.
Here’s a post from Anthropic on how roles are changing at their company, one of the most AI-pilled organizations. It’s a worthy blueprint for any company dishing out $20 Claude or ChatGPT subscriptions but lacking the gumption to do more: anthropic.com/research/emplo…
Some quotes:
- “even as the company grows, relative hiring in junior technical positions has slowed”
- “Hiring managers increasingly emphasize applicants’ autonomy and judgment relative to specific technical expertise”
- “Whole teams have also been reallocated as they handed off their work to agents.”
- “Across functions, human involvement increasingly abstracted from a particular piece of code or writing to the tooling necessary to get agents to do their tasks effectively.”
- “Individual contributors orchestrating teams of agents look more like managers in terms of the knowledge they need and the interdependencies in their work.”
I remember when Jeff Bezos once pulled a Kindle launch - after the devices had been shipped to retailers (!!) - because we were about to launch ads on the kindle and we didn’t have a way to tell if the ad was beautiful or not
Umang Jaipuria retweeted
Normalize 15 minutes or 1.5 hours for intro meetings. Anything in the middle is weak sauce.
This is insane.
We don’t need mcp, agentic web, all that nonsense. Just browsers in the cloud.
A few big upgrades for Chrome users today! We’re bringing the power of computer use to anyone who uses Chrome.
First up: ChatGPT can now use your tabs in Chrome to make answers more useful and get things done for you.
If you’re in Chat, it can look across your open tabs and gather info.
If you’re in Work, ChatGPT can control your Chrome tabs to get things, like sending messages, filling out forms, or downloading files. It can even help you organize and group that pile of tabs you have open.
we’re all over-exposed to tech.
even if you’ve balanced it out, you’re over-exposed to tech.
everyone’s only hope is for tech to succeed.
Finally got the 12 -> 14 upgrade
What a huge step up. Now if they would only let me fine-tune it on my driving style :)
can’t believe everyone thinks they’re trying to cut costs by doing this
Scooplet: a16z has laid off most of its exec recruiting team
axios.com/2026/10/14/andrees…
This isn’t good for India
Narrative Violation!
Indian VC Firms Are Following Founders to Set Up Shop in Silicon Valley @followthemani newcomer.co/p/indian-vc-firm…
Fascinating way to look at it
It turns out that F1 is mathematically the most dramatic sport.
I'm not an F1 fan myself, but the data is unequivocal.
The proof: take a time series of prediction market data and measure the volatility minute-by-minute in the odds for each sport. This measures the density of actual drama in the sport during a game.
Even if there's action and points going back and forth on screen, it's meaningless if the winner is basically decided. It's only real drama when the odds are moving in realtime while you're watching.
By this metric: F1 > E-sports (CS2) > Soccer > Basketball > Tennis > American football > Baseball >>> Golf
That's right, golf is mathematically the worst sport.
(I knew it.)
Umang Jaipuria retweeted
1) Trying again.
TLDR: Everyone can win. Open-source, frontier labs, infrastructure, applications and most importantly the American people.
I understand all of the jitters about Anthropic losing share, real rates, spreads and second derivatives. Still think the most likely future outcome is a hybrid, multi-model future where almost everyone wins, open-weight tokens are likely the overwhelming majority of tokens, the dominant frontier model companies still do well albeit perhaps not the outcome that seemed possible in May and AI infrastructure/applications benefit immensely from the increased fragmentation, competition and lower margins at the model layer.
Lower margins at the model layer mechanically drive higher compute demand as long as someone is willing to pay for the training. And Jensen is obviously willing to be the “trainer of last resort.” As below-market compute contracts signed in 24/25 roll-off and reprice higher, cloud and neocloud revenue should continue to accelerate which will help address financing fears; I think we may be near peak external financing for this buildout. Noteworthy that using data from 3Fourteen Research, B200 clusters will generate a 37% IRR *if* their rental price declines 40% per year. Prices are still going up, but that IRR math is too ridiculous to print. 37% IRRs available at scale should get funded.
Re: this weekends controversy about MOUs, Anthropic’s $413 billion of real contractual commitments sounds scary. Reality is that it works out to roughly $31 billion of annual cloud spend, which is easily internally financed given their reported ARR, and $161 billion of spend at Broadcom which will be financed by Broadcom and private credit.
Continue to believe fragmentation at the model layer is the best outcome for ordinary Americans and humans everywhere. As I have said before, do not trust any 5-20 individuals to make the best possible decisions about the direction of this technology. I want as many AIs as possible to maximize the odds that they encompass the diversity of human values across the world and richness of human variation. And I want an AI that shares my own personal values. Safety, freedom and the maximization of human agency through democratization, distribution and diffusion vs. centralization. History has spoken on the dangers of the latter path.
Finally, from my perspective anything that slows this buildout down is net positive over the long-term as the biggest risk and worst outcome is an *actual* overbuild. We are structurally short watts, wafers and increasingly capital. That is all good. God forbid we were still in ZIRP, TSM ramped capex to 3x their current plan and we weren’t short turbine blades: there would almost certainly be an overbuild and a bubble. That would be terrible. Slower and smoother for longer is better both for investors and for the world. A terrible cyber event is the most plausible near term bear case IMHO, but AI cyberdefense ramping quickly and I was happy to hear Sholto say that cyber probably becomes defense dominant in the near future.
Longer, threaded version follows:
it’s clear we need to retire the term vibe coding because the models now produce better architecture & way more coherent code than an average software engineer.
perhaps even better than top software engineers too because unlike a human, ai has a much much larger context window.
this ain’t vibe coding at all. it’s precision engineering.

























