LeetCodin
One person on
Reddit
shared the following thoughts on the future of software development and software engineering in the age of AI:
Thoughts and ideas about AI killing software development:
We are building systems that are easier to start but harder to sustain.
The future of software engineering, therefore, lies not in the "end of coding," but in the evolution of complexity management.
The engineers of tomorrow will not be "vibe coders" who don't know how to code, but system architects who manage the entropy of the AI's output.
Here is the logical proof:
In computational complexity (P vs. NP), we value problems where finding a solution is hard but verifying it is easy (e.g., Sudoku, factoring).
AI coding is the opposite ("The AI Inverse-NP problem"):
- Generation is Trivial
- Verification is Hard
We are building "high entropy" systems where the cost of verification exceeds the cost of creation. We use AI to cope with that high entropy to a certain degree. Nevertheless, the complexity increases (I would argue exponentially) with the growing amount of problems being solved.
As the overall complexity (of a system) remains, software engineers will be in higher demand than ever! But the job will be different.
Some interesting reads:
- Fred Brooks wrote "No Silver Bullet, in 1986, where he is distinguishing between "accidental complexity" (syntax, compilation) and "essential complexity" (logic, state, requirements). He argued that tools could only solve accidental complexity; essential complexity is irreducible.
- Law of Conservation of Complexity: Tesler’s Law suggests that every application has a "core of complexity" dictated by the problem domain it serves. A tax preparation application, for instance, cannot be simpler than the tax code it implements. The central question in system design, therefore, is not "how do we remove complexity?" but "who handles the complexity?
- Kolmogorov complexity is the length of the shortest computer program that can produce a given string or piece of data.
I'm curious what everyone thinks.
- Do you agree with this perspective?
- How do you see the role of software developers and engineers evolving over the next 5–10 years?
- Will AI fundamentally change the profession, or will it simply shift the skills that are most valuable?
🇺🇿
Javokhir Sindarov Nomzodlar turnirida g‘olib bo‘ldi!
🇺🇸
Javokhir Sindarov won the Candidates Tournament!
The full video is here:
From Uzbekistan to Big Tech
To’liq videoga havola:
From Uzbekistan to Big Tech
Salom!
🇺🇸
IT Park has released a teaser video where our compatriots who live in the US and work as IT specialists in large companies talk about their journey. Stay tuned - it will be interesting.
Link
From Uzbekistan to Big Tech
🇺🇿
IT Park AQShning yirik kompaniyalarida IT mutaxassisi sifatida ishlayotgan vatandoshlarimiz o‘z hayotlari haqida so‘zlab bergan video tizerini chiqardi. Kuzatib boring - qiziqarli bo‘ladi.
Havola
From Uzbekistan to Big Tech
Scaling PostgreSQL to power 800 million ChatGPT users
https://openai.com/index/scaling-postgresql/
Maqola juda qiziqarli chiqibdi
☝️
Hammaga salom.
Bugun Google’ning Kaggle platformasida multi-agent workflow workshop ustida ishladim. Unda agentlar yaratib, har birining vazifasini tayinlab, ularga bitta kattaroq vazifa berish mumkin ekan.
Ushbu workshop’da ikki agent yaratdim: bittasiga research qilish, ikkinchisiga esa summary qilish vazifasini berdim. So‘ng asosiy run qiluvchi tool’ga savol berdim:
Savol:
“If we read all the books of Nassim Taleb, what are the main ideas he wants us to really hear, written in-between the lines?”
Javob: "
Nassim Taleb's Core Ideas: Beyond the Obvious
Nassim Taleb's extensive body of work, when read between the lines, emphasizes a profound distrust of predictability and a deep understanding of the
inherent uncertainty that governs our world. His core message revolves around the following key ideas:
*
The Pervasiveness of \"Black Swans\":
Taleb highlights that history is disproportionately shaped by rare, high-impact, and unpredictable events, termed \"Black Swans.\" We tend to rationalize these events in hindsight, failing to grasp their true random nature and our profound unpreparedness for them. He critiques traditional fields like economics for their over-reliance on predictable models that ignore these outliers.
*
Embracing \"Antifragility\":
Beyond mere resilience (withstanding shocks), Taleb champions \"antifragility\" – the ability of systems to not just survive but actually *thrive* and improve from volatility, disorder, and randomness. He suggests that instead of seeking stability, we should aim to build systems that benefit from chaos.
*
Skepticism Towards Predictions and Experts:
Taleb urges a healthy skepticism regarding forecasts and the pronouncements of experts. He posits that negative knowledge (understanding what *doesn't* work) is more reliable than positive knowledge (claiming to know what *does* work), implying that true learning often comes from identifying and eliminating errors.
*
The \"Barbell Strategy\":
To navigate uncertainty, Taleb advocates for a \"barbell strategy.\" This involves extreme caution in most areas while simultaneously embracing high-risk, high-reward ventures. The goal is to minimize downside risk and leave oneself open to the potential benefits of unpredictable positive events.
In essence, Taleb challenges us to fundamentally rethink our relationship with risk, prediction, and uncertainty, encouraging a mindset that is not just resilient but actively benefits from the unpredictable nature of existence."
Chakki emas
🧐
🇺🇿
LeetCode'da masalalarni yechmay yurganimga 3-4 oy bo'ldi. Yaqinda yana sekin-asta qayta boshladim. Ko'p narsalarni unutganman deb o'ylagandim. Ammo bugun o'rta darajadagi (medium level) backtracking algoritmiga asoslangan masalani 10 daqiqada, birinchi urinishda yechishga muvaffaq bo'ldim. Vaziyat men o'ylagandek yomon emas ekan!
😁
Juda xursandman.
Mana o'sha masala:
3723. Maximize Sum of Squares of Digits
🇺🇸
It's been 3-4 months since I last solved problems on LeetCode. Recently, I started picking it up again slowly. At first, I thought I'd forgotten a lot. But today, I managed to solve a medium-level backtracking algorithm problem in 10 minutes on my first try. Turns out, things aren't as bad as I thought!
😁
I'm thrilled.
Here's the problem:
3723. Maximize Sum of Squares of Digits
😊
👌
🇺🇸
1600 LeetCode problems solved.
🇺🇿
1600ta LeetCode masala -> done.
@LeetCodin