nadis

8 ms·

91.
AI can help startups define their ICP(mercury.com)
1 points by nadis 8mo ago|0 comments
92.
Daily AI use is associated with depressive symptoms(hks.harvard.edu)
1 points by nadis 8mo ago|0 comments
93.
by nadis 8mo ago
That's a fair point and agreed that human researchers certainly do more than just pattern match. I took it as sort of vision-y fluff and not literally, but do appreciate you calling that out more explicitly as being wrong.
94.
by nadis 8mo ago
> "Rather than scanning for known patterns, Claude Code Security reads and reasons about your code the way a human security researcher would: understanding how components interact, tracing how data moves through your application, an
95.
What Do Puppies Know?(harvardmagazine.com)
4 points by nadis 8mo ago|0 comments
96.
What Leadership Looks Like in an Agentic AI World(library.hbs.edu)
1 points by nadis 8mo ago|0 comments
97.
The Quality Cost of the AI Vampire(forge-quality.dev)
2 points by nadis 8mo ago|0 comments
98.
by nadis 8mo ago
Thanks for the clarification, I really appreciate it! This makes more sense and was helpful. Appreciate you taking the time to respond.
99.
by nadis 8mo ago
> "At Spotify, engineers are using an internal system called “Honk” to speed up coding and product velocity, the company told analysts on the call. This system allows for things like remote, real-time code deployment using generativ
100.
by nadis 8mo ago
> "It has been less than three years since Anthropic earned its first dollar in revenue. Today, our run-rate revenue is $14 billion, with this figure growing over 10x annually in each of those past three years." Wild although n
101.
by nadis 8mo ago
Pretty wild quote from early in the article: > "Minions are Stripe’s homegrown coding agents. They’re fully unattended and built to one-shot tasks. Over a thousand pull requests merged each week at Stripe are completely minion-produ
102.
You can build a $10B+ company remotely(x.com)
4 points by nadis 8mo ago|0 comments
103.
AI Fluency Leveling(blog.alexewerlof.com)
2 points by nadis 8mo ago|0 comments
104.
Debugging with AI: Can It Replace an Experienced Developer?(developerway.com)
1 points by nadis 8mo ago|0 comments
105.
by nadis 8mo ago
Interesting! Sort of a tangential question to the product itself but why did you choose to build primarily in Rust? I saw "built with Rust + simd-json + ratatui for ultra-fast performance" but am not actually very familiar with ho
106.
Watch Club's producing short video dramas and building a social network for them(techcrunch.com)
1 points by nadis 8mo ago|0 comments
107.
by nadis 8mo ago
I think you're right - I'm guessing there were some outages with scaling and the surge of new human and AI users. Eventually it worked!
108.
by nadis 9mo ago
Congrats - seems like a wild launch! I (human) haven't been able to actually look at any of the topic pages; they're all "loading..." indefinitely. Is the site just slammed or are there outages? Would love to be able to
109.
The Hitchhiker's Guide to Measuring Engineering ROI(ctologic.pro)
2 points by nadis 9mo ago|0 comments
110.
One Year of Ax (Agent Experience)(biilmann.blog)
1 points by nadis 9mo ago|0 comments
111.
Molty Report #2 by Robert Scoble(twitter.com)
2 points by nadis 9mo ago|0 comments
112.
by nadis 9mo ago
Thanks!
113.
by nadis 9mo ago
Thank you.
114.
by nadis 9mo ago
Getting a 404 page not found for this project - how can I try it?
115.
by nadis 9mo ago
This is fascinating, thanks for sharing! I also appreciated the "when would you need this" section at the end. > "When Would You Need This? - Client hands you a Figma Make prototype but not the design file - You want to au
116.
Ask HN: How do you manage memory and context across Claude Code sessions?
1 points by nadis 9mo ago|0 comments
117.
by nadis 9mo ago
Existing thread here: https://news.ycombinator.com/item?id=46768257
118.
Chasing agentic AI success at scale in 2026(fastforward.blog)
1 points by nadis 9mo ago|0 comments
119.
by nadis 9mo ago
> "For us, abandoning low-code to reclaim ownership of our internal tooling was a simple build vs buy decision with meaningful cost savings and velocity gains. It also feels like a massive upgrade in developer experience and end-use
120.
by nadis 9mo ago
Additional docs: https://nvidia.github.io/earth2studio/ > "Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows."

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