pramodbiligiri

8 ms·

91.
Introducing DoorDash Tasks(about.doordash.com)
1 points by pramodbiligiri 7mo ago|0 comments
92.
The simple macroeconomics of AI: Daron Acemoglu (2024)(nber.org)
2 points by pramodbiligiri 7mo ago|0 comments
93.
Advancements and future directions in AI-assisted coding: Erik Meijer (2023) [video](youtube.com)
2 points by pramodbiligiri 7mo ago|0 comments
94.
TypeScript's rise in the AI era: Insights from Anders Hejlsberg (2025)(github.blog)
9 points by pramodbiligiri 7mo ago|0 comments
95.
An early look at the labor market impact potential of LLMs (2023)(arxiv.org)
2 points by pramodbiligiri 7mo ago|0 comments
96.
Ask HN: Resources for a conceptual model of LLMs as applicable to coding?
2 points by pramodbiligiri 7mo ago|0 comments
97.
Systemantics: How systems work and especially how they fail(en.wikipedia.org)
5 points by pramodbiligiri 7mo ago|0 comments
98.
by pramodbiligiri 7mo ago
Leslie Lamport hosted a chat with him a few years back: https://www.youtube.com/watch?v=wQbFkAkThGk . They spoke about general CS stuff and some aspects of concurrency.
99.
NSF National Deep Inference Fabric(ndif.us)
1 points by pramodbiligiri 7mo ago|0 comments
100.
The A.I. disruption we've been waiting for has arrived(nytimes.com)
4 points by pramodbiligiri 8mo ago|1 comments
101.
by pramodbiligiri 8mo ago
https://archive.is/8tMxs
102.
The Psychology of Computer Programming by Gerald Weinberg (1998)(archive.org)
6 points by pramodbiligiri 8mo ago|0 comments
103.
The best non-fiction essays of 2025, according to David Brooks(nytimes.com)
2 points by pramodbiligiri 9mo ago|0 comments
104.
Working with Q – Coding Agent Protocol(gist.github.com)
1 points by pramodbiligiri 11mo ago|0 comments
105.
Generative UI: A rich, custom, visual interactive user experience for any prompt(research.google)
1 points by pramodbiligiri 11mo ago|0 comments
106.
Technology Radar: An opinionated guide to today's technology landscape(thoughtworks.com)
2 points by pramodbiligiri 11mo ago|0 comments
107.
by pramodbiligiri 11mo ago
I believe this is the article by Unmesh that he was referring to (sparked a lot of discussion): https://news.ycombinator.com/item?id=45841056
108.
How AI will change software engineering – with Martin Fowler(youtube.com)
8 points by pramodbiligiri 11mo ago|3 comments
109.
by pramodbiligiri 11mo ago
I’ve heard this being discussed as focused and diffuse modes of thinking - https://fs.blog/focused-diffuse-thinking/ - although not in relation to verbal and non-verbal thinking.
110.
by pramodbiligiri 11mo ago
Great article. One thing I was wondering after looking at the list of items in the “Cursor agent produced a coding plan” image: do folks actually make such lists when developing a feature without AI assistants? That list has items like “Cre
111.
HN homepage with links to comments ordered by most recent first(observablehq.com)
1 points by pramodbiligiri 11mo ago|0 comments
112.
Galaxy brain resistance(vitalik.eth.limo)
8 points by pramodbiligiri 11mo ago|0 comments
113.
New RBI rule: Banks move to secure '.bank.in' domains to curb online fraud(cnbctv18.com)
1 points by pramodbiligiri 1y ago|0 comments
114.
How Elon Musk ruined Twitter(jacobin.com)
9 points by pramodbiligiri 1y ago|3 comments
115.
by pramodbiligiri 1y ago
Perhaps do activities like manipulating physical objects (carpentry?, Lego, Rubiks cube), games like Tetris, or complex body movements where verbalization won't be of much use. Or standard Quantitative Reasoning problems from entrance
116.
Is economics education fit for the 21st century?(rethinkeconomics.org)
20 points by pramodbiligiri 1y ago|53 comments
117.
by pramodbiligiri 1y ago
KDE Plasma provides custom time formats: https://postimg.cc/sGXD8wqq . The time format documentation from that screenshot links to QT's formatDateTime function: https://doc.qt.io/archives/qt-5.15&#x
118.
by pramodbiligiri 1y ago
That's a good one. Some people might like the "odds" based version of Bayes' theorem: https://betterexplained.com/articles/understanding-bayes-the...
119.
by pramodbiligiri 1y ago
I agree. In any large backend software running on a server, it's the LLM invocation which would be a call out to an external system, and with proper validation around the results. At which point, calling an "MCP Server" is al
120.
by pramodbiligiri 1y ago
Wouldn't the sweet spot for MCP be where the LLM is able to do most of the heavy lifting on its own (outputting some kind of structured or unstructured output), but needs a bit of external/dynamic data that it can't do withou

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