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[programming, software engineering, software, remote work life, database]
#programming #softwar](https://image.pictame.com/img/637156693_883452011198882_6585965638722514695_n.jpg?hash=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)
5.2M
SODeactivated one user. Promoted everyone to guest. 🚀
[programming, software engineering, software, remote work life, database]
#programming #softwareengineer #software #remoteworklife
@soul_in_code
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550.3K
IN“Coding will be the first to go.”
Anthropic CEO Dario Amodei on AI’s impact on software jobs.
In this powerful conversation, Dario Amodei, CEO of Anthropic, shares his candid view on how AI will reshape the future of coding and software engineering.
His core prediction:
Coding — as we know it — will be the first major industry to be disrupted by AI.
He makes a clear distinction:
• Coding (task-level execution): Already being heavily automated by AI models. He believes this is the first layer to be replaced.
• Software Engineering (end-to-end thinking): System design, architecture, debugging, decision-making — this will take longer, but AI will gradually expand here too.
One of the most powerful ideas he shares is the “5% Rule.”
If a human only needs to do 5% of a project while AI handles the other 95%, that human becomes 20x more productive.
AI doesn’t just replace work.
It amplifies leverage.
But there’s a catch.
As AI takes over 95–99% of tasks, the remaining 1–5% becomes harder — concentrated in areas where humans still have comparative advantage: judgment, strategy, edge cases, and accountability.
The big question isn’t whether AI will change coding.
It’s how quickly humans adapt to working in that final 5%.
[Dario Amodei, Anthropic CEO, AI coding future, software engineering automation, AI productivity boost, 5 percent rule AI, coding jobs future, artificial intelligence disruption, generative AI programming, comparative advantage AI, tech jobs future]
DarioAmodei #Anthropic #AI #FutureOfCoding #SoftwareEngineering
@indiafounder
1.1M
PIComment “LINK” to get links!
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@pirknn
827.5K
SOGoogle has begun quietly reducing its software engineering workforce as it accelerates the use of AI to handle tasks previously done by developers. In recent weeks, some engineers were reportedly told they could voluntarily exit the company with up to four months of pay, signaling a strategic shift rather than a traditional layoff. The move reflects Google’s broader push to automate coding, maintenance, and internal tooling with AI systems, reshaping the role of human engineers as the company reallocates resources toward AI-driven productivity and efficiency. #google #ai #jobreplacements #layoffs
@sorhan.hq
443.1K
GRDario Amodei predicts software engineering could be largely automated by AI within 6–12 months. Inside Anthropic, some engineers already rely on models to write most of their code, shifting their role toward editing and oversight.
His vision centers on a feedback loop: AI writes code, improves AI systems, and accelerates the next generation of models. Each cycle reduces human involvement while increasing development speed exponentially.
The shift doesn’t eliminate engineers immediately—it redefines them. Humans move from writing 100% of the code to supervising, designing, and validating systems, while AI handles execution at machine scale.
Follow @growasentrepreneurs for more!
Video: DWS News/YT
[Dario Amodei, Anthropic, Entrepreneurship, Entrepreneur, Business, Startup]
#darioamodei #anthropic #viral #explore #trending
@growasentrepreneurs
413.0K
UN"AI 시대에 우리 애는 뭐가 되어야 할까요?" 😮
요즘 가장 많이 받는 질문이에요.
지금 인기 있는 직업이
10년 뒤엔 사라질 수도 있다는 것 우린 너무 잘 알고 있죠‼
IT도 예외가 아니에요.
요즘 테크 기업 구조조정 뉴스, 다들 보셨죠?
그래서 준비한 주제!
전문가들이 공통으로 꼽는
10년 뒤 유망 직업 TOP 7 알아보아요 😊
💻 1. AI 응용 전문가
"AI가 직업을 없앤다고요?
AI를 만드는 사람은 지금 이 순간도 부족합니다 😮"
AI, 머신러닝 전문가는 여전히
가장 빠르게 성장하는 직업 1위예요.
다만 요즘 트렌드는 조금 달라졌어요.
AI 자체를 개발하는 사람보다
AI를 산업에 적용하는 전문가 수요가 더 빠르게 증가하고 있거든요.
📚 관련 전공
- Computer Science / Artificial Intelligence
- Data Science / Software Engineering
🏢 활용 분야
금융, 헬스케어, 제조, 물류, 자율주행
📊 2. 데이터 분석 전문가
"숫자가 곧 돈이 되는 시대
데이터를 읽는 사람이 세상을 읽습니다 📊"
Data Analyst, Data Scientist는
여전히 가장 빠르게 늘어나는 직업이에요.
"기업 의사결정의 상당 부분이
이미 데이터 기반 시스템으로 전환되고 있다."
숫자를 읽는 사람이 비즈니스를 움직이는 시대예요.
📚 관련 전공
- Data Science / Statistics
- Mathematics / Business Analytics
🏢 활용 분야
금융, 마케팅, 의료, 유통, 스포츠 산업
🏥 3. 헬스케어 전문 인력
"AI도 못 대체하는 직업
사람을 직접 돌보는 일입니다 🏥"
고령화 사회로 인해 앞으로 의료 인력 부족이 심각해진다는 거예요.
특히 간호, 의료 기술, 바이오 연구는
향후 10년 동안 수요가 꾸준히 증가할 분야예요.
캐나다는 특히 더하며 영주권 취득 가장 유리한 직종 중 하나예요 🍁
📚 관련 전공
- Nursing / Medicine
- Biomedical Science / Public Health
🏢 활용 분야
병원, 바이오테크, 공중보건, 노인복지
🌱 4. 기후,에너지 전문가
"태양광, 풍력, 수소에너지…
지구를 살리는 직업이 가장 안정적입니다 🌱"
재생에너지와 기후 대응 산업이
지금 가장 빠르게 성장하는 분야예요.
탄소 중립 정책으로
2030년까지 신규 일자리 3,400만 개 창출 예상이에요.
📚 관련 전공
- Environmental Science
- Environmental Engineering
- Renewable Energy Engineering
🏢 활용 분야
재생에너지 기업, 정부 기관, 건설, 컨설팅
🔐 5. 사이버보안 전문가
"해킹 피해 전 세계 연간 손실 $10조 돌파 🔐
막는 사람은 항상 부족합니다"
2030년까지 전 세계적으로
수백만 명의 보안 전문가가 부족할 거라고 해요.
디지털 사회가 확대될수록 해킹, 데이터 유출 위험도 커지고
보안 인력 수요는 계속 늘어나요.
수요는 많은데 공급이 부족한 분야!
📚 관련 전공
- Cybersecurity / Information Technology
- Computer Science
🏢 활용 분야
금융, 정부 기관, 의료, IT 기업, 국방
💳 6. 핀테크 엔지니어
"은행은 사라져도
금융 기술은 사라지지 않습니다 💳"
핀테크 엔지니어 성장률은 무려 95%로 전체 직업 중 두 번째로 높아요.
매일 쓰는 금융 서비스 뒤에는 전부 핀테크 엔지니어가 있어요.
🇨🇦 토론토는 북미 핀테크 허브 2위 도시예요.
📚 관련 전공
- Computer Science / Software Engineering
- Finance / Business & Technology
🏢 활용 분야
디지털 뱅킹, 블록체인, 암호화폐,
간편결제, 보험테크, 자산관리
💻 7. 소프트웨어 개발자
"앱 하나로 세상을 바꾼 시대
여전히, 그리고 앞으로도 코더는 귀합니다 💻"
소프트웨어 개발자는 절대적 신규 일자리
Top 5 안에 계속 이름을 올리고 있어요.
AI가 코딩을 도와줄 수는 있어도
소프트웨어를 기획하고 설계하는 사람은 AI가 대체할 수 없어요
📚 관련 전공
- Computer Science / Software Engineering
- Computer Systems Technology
🏢 활용 분야
앱 개발, 게임, AI 플랫폼, 핀테크, 의료 소프트웨어, 자율주행
@unibus_education
127.6K
ECSoftware engineering already got disrupted. We know what to expect now!
@eczachly
1.8M
DEMarch is the hiring month🚀
Comment "Resume" for the template🎯
(Hiring, Hiring season, DevOps, Software engineering, Job, Resume, Resume building, Resume Tips, ATS Friendly resume)
#devops #hiring #job #softwareengineering #explorepage
@decodewithavyay
214.1K
ACBack in the day, tech companies obsessed over the “10x engineer.”
But according to @theprimeagen, those mythical 10x devs often created 10x the chaos. 😅
The real heroes?
The solid 2x engineers.
They:
• Solve problems consistently
• Move twice as fast as average
• Make teams better
• Don’t create drama
Meanwhile, some engineers were 0.5x — needing constant guidance from 1x and 2x teammates.
Now enter AI.
AI doesn’t magically make you smarter.
It multiplies what you already are.
If you’re a 2x engineer → AI can turn you into 5x or 10x.
If you’re a 0.5 → AI can raise your output dramatically.
But if your decision-making is a -1?
And you multiply that by 10?
“Lord help the organization.”
That’s the real conversation happening in software engineering right now.
AI isn’t replacing engineers.
It’s amplifying them.
The question is:
👉 What is it amplifying in you?
---
Why This Matters
In the age of AI coding tools, agent workflows, and autonomous systems:
• Skill still matters
• Judgment matters more
• Decision-making matters most
AI is a coefficient.
It scales competence — or incompetence.
And that’s a shift most companies aren’t ready for.
---
What do you think?
Is AI creating better engineers…
Or just faster ones?
Drop your take below 👇
FOLLOW @activeprogrammer to learn something new every day!
---
#ArtificialIntelligence
#SoftwareEngineering
#AICoding
#TechLeadership
#FutureOfWork
🎥🗣: @theprimeagen
@activeprogrammer
1.3M
KOGuess the programming language.
Fast like C. Productive like Python. Scalable like Java. But simpler than all three.
I’ve been building my fintech startup in San Francisco and choosing the right tech stack is everything. This language is quietly becoming the backbone of the biggest companies in tech. Google built it. Uber runs on it. Docker was written in it.
If you guessed it — drop it in the comments. If you didn’t — you need to learn about this one.
The answer might surprise you.
.
.
.
.
.
guess the programming language, golang developer, go programming language, tech quiz, programming challenge, best language for startups, backend development, software engineering, coding in san francisco, startup tech stack, go vs python, go vs rust, scalable backend, fintech tech stack, developer life, learn golang, coding challenge, tech founder, building in public, startup engineering, api development, clean code, system design, software architecture, dev community
@kokabuildsf
253.7K
SASoftware engineer jobs are rising, not dying. AI influencers who don't code keep saying AI kills software engineering. Here's what's happening instead.
AI vibe coding made it cheap to build prototypes. So non-technical people started building. Then they realized a working product needs 50+ other tasks... testing, deployment, maintenance, security, scaling.
So they hire engineers to take over their vibe coded projects.
This is the Jevons paradox. When the cost of something drops, demand goes up, not down. AI didn't replace engineers. It created more work for them.
The people who said "coding is dead" weren't coders. They tried building one thing and assumed the whole job was the same.
Stop listening to non-technical people about technical careers.
What do you think... is demand for software engineers going up or down?
Will AI vibe coding replace real software engineers?
Are software engineering jobs increasing in 2026?
#coding #ai #technology #programming #startup
@sabrina_ramonov
455.6K
ALIs software engineering cooked? 😀
#programming #softwareengineer
@alberta.tech
✨ Guía de Descubrimiento #Softwareengineering
Instagram aloja 833K publicaciones bajo #Softwareengineering, creando uno de los ecosistemas visuales más vibrantes de la plataforma.
Descubre el contenido más reciente de #Softwareengineering sin iniciar sesión. Los reels más impresionantes bajo esta etiqueta, especialmente de @soul_in_code, @decodewithavyay and @kokabuildsf, están ganando atención masiva.
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Análisis de 12 reels
💡 Posts top promedian 2.3M vistas (2.2x sobre promedio)
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Consejos de Creación de Contenido y Estrategia
🔥 #Softwareengineering muestra alto potencial de engagement - publica estratégicamente en horas pico
✍️ Descripciones detalladas con historia funcionan bien - longitud promedio 893 caracteres
✨ Muchos creadores verificados están activos (75%) - estudia su estilo de contenido
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