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Ed

@ejsiii3

At the end of the day it’s all 1’s and 0’s

Katılım Mayıs 2009
189 Takip Edilen152 Takipçiler
Ed
Ed@ejsiii3·
@BernieSanders Its a business not a charity. Do you want to bring back ditch diggers? You are a clown 🤡 show
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Bernie Sanders
Bernie Sanders@BernieSanders·
Jeff Bezos, worth $234 billion, plans to replace 600,000 Amazon workers with robots. Now, he wants to spend $100 billion to fully automate not just his warehouses, but factories in the U.S & other countries. Oligarchs are waging all out war against workers. FIGHT BACK.
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Ed
Ed@ejsiii3·
@aryanlabde It works extremely well if you know how to code. So you better be one of the top 5% of developers because that’s all that we are going to need
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Aryan
Aryan@aryanlabde·
Hot take: Vibe coding only works well if you already know how to code.
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Arun
Arun@hiarun02·
If you can’t explain your own code without opening ChatGPT. you didn’t write the code. You just generated it. That’s not programming. That’s prompting.
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Ed
Ed@ejsiii3·
@sama But unfortunately you created your replacement. Please gather your things and leave the building.
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Sam Altman
Sam Altman@sama·
I have so much gratitude to people who wrote extremely complex software character-by-character. It already feels difficult to remember how much effort it really took. Thank you for getting us to this point.
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Ed
Ed@ejsiii3·
@manthanguptaa You’ll understand when AI replaces you. Never too late to become a chiropractor
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Manthan Gupta
Manthan Gupta@manthanguptaa·
@ejsiii3 You will understand once you work on a big repository
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Manthan Gupta
Manthan Gupta@manthanguptaa·
LLMs have made code cheap. So now people are spinning up 10 agents working on 10 features in parallel. Sounds productive. But the tradeoff is obvious: the code quality is often spaghetti + over-engineered. LLMs behave like over-eager interns. They will do more than asked, add abstractions you didn’t need, and optimize for "completeness" over simplicity. Which means you end up babysitting anyway. For anything non-trivial, I have found you still need to spend 1–3 hours upfront: • defining scope • writing clear specs • thinking through system boundaries • setting constraints Otherwise, the system drifts. And even after that, you have to review the code. They still hallucinate patterns, introduce unnecessary layers, or miss edge cases, even with detailed instructions. A lot of people advocate "just let agents cook." In practice, you're often getting 60-70% unnecessary code that increases: • cognitive load • onboarding time • surface area for bugs • long-term maintenance cost For side projects, this is fine. But for real systems with shared codebases, multiple engineers, and production traffic, this compounds fast. We are already seeing: • unstable tools • memory leaks • constant crashes • frequent rewrites This isn't just "early days", it’s a direct result of speed > discipline. Spinning up 10 agents feels like productivity. But you are often just pulling forward the cost into refactoring hell. I would rather: build slower → keep systems simple → refactor less frequently Good engineering is still about what you choose not to build.
David Cramer@zeeg

im fully convinced that LLMs are not an actual net productivity boost (today) they remove the barrier to get started, but they create increasingly complex software which does not appear to be maintainable so far, in my situations, they appear to slow down long term velocity

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Ed
Ed@ejsiii3·
@Govindtwtt Because you can be playing video games while it’s doing it
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Govind
Govind@Govindtwtt·
why code for 6 hours when AI can generate the entire codebase in 1 hour and you fix the rubbish in 5 hours :)
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Mari
Mari@Tech_girlll·
If an AI tool writes most of your code, are you still the developer?
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Ed
Ed@ejsiii3·
@LukasHozda …and gets the job done!!
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Lukáš Hozda
Lukáš Hozda@LukasHozda·
I am depressed about AI vibe-slopping because we programmers used to own the code we wrote, we used to talk to another and we used to be more explorative. With AI, you are discouraged from using less known libraries or approaches, AI just gravitates towards the mean
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Sakshi
Sakshi@Sakshi50038·
AI will eat most of the jobs in next 2-5 years: Roles at high risk: - Frontend devs - Backend devs - Full-stack devs - Jr. software engineers - QA testers - Basic data analysts Roles that are safe: - UI/UX and graphic designers - Software/system architects - Entrepreneurs - AI specialists
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Pedro Correia
Pedro Correia@PedroCCorreia·
@Govindtwtt Developers do more than just coding, of they only memorize syntax, then they were never real developers. Developers solve business problems, think about structure and scalability/security/etc. Writing code is actually the least consuming time.
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Govind
Govind@Govindtwtt·
people keep saying AI replacing developers is just hype. meanwhile the creator of Node.js says: “This has been said a thousand times before, but allow me to add my own voice: the era of humans writing code is over. Disturbing for those of us who identify as SWEs, but no less true. That’s not to say SWEs don’t have work to do, but writing syntax directly is not it.” maybe we should listen.
Govind tweet media
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Ed
Ed@ejsiii3·
@Govindtwtt Anyone who has used AI properly and has half a brain will agree. RIP SWE
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Ed
Ed@ejsiii3·
It’s doesn’t need human review. It has to pass tests and scans. If you where asked to review hundreds of lines of code just by reading it you think your doing to find issues 🤣. Testing just became the most important part of SDLC. AI will iterate on bugs and test failures until they are fixed. Today’s AI is the worst AI you will encounter. The rate of improvement is mind boggling. RIP devs 😢
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Sameer Malik
Sameer Malik@MsameerAmalik·
@Prathkum Part of the discomfort comes from speed. When something produces 300 lines in seconds, our brain assumes quality must be low. But speed and quality aren’t always opposites. The real bottleneck now is human review, not generation.
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Pratham
Pratham@Prathkum·
AI generated code is so beyond our understanding level that we just call it slop.
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John Rice
John Rice@hello_code_·
@Prathkum Sometimes it is just slop. Now you just have people who dont know how to code becoming 10x slop engineers. You still need top level nuance and understanding to steer things IMO
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Ashutosh Tiwari
Ashutosh Tiwari@ashutosh_270497·
@Prathkum The 'slop' label often masks a failure to adapt to new code paradigms.
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Ed
Ed@ejsiii3·
@emiratidancer @Adidotdev When was the last time a developer was asked about strategic thinking during an interview 🤣
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Maryam Al-Farsi
Maryam Al-Farsi@emiratidancer·
@Adidotdev Strategic thinking and business judgment. AI handles the syntax, but knowing what to build and why remains a human advantage.
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Adit_Yah🍁
Adit_Yah🍁@Adidotdev·
Serious question for developers: If AI can now • write code • debug errors • generate tests • review pull requests what skill will actually separate great developers from average ones in the next 5 years?
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Ed
Ed@ejsiii3·
@umerwaseeem @Adidotdev customers not devs drive that process and it is the product managers responsibility.
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Umer Waseem
Umer Waseem@umerwaseeem·
@Adidotdev AI writes code, It can't decide what's worth building, catch its own blind spots or own the consequences. That's still on you.
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Ed
Ed@ejsiii3·
@Adidotdev Nothing devs won’t be needed in 5 yrs. Apply to dentistry school
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Csaba Kissi
Csaba Kissi@csaba_kissi·
Everybody is building with AI 10 times faster than before. And I see fewer side projects than 5 years ago. How come?!
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Aanya
Aanya@xoaanya·
AI won’t replace developers, but it will replace developers who don’t learn to use AI to build real products and systems. Agreed?
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