#AI and software engineering
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My AI Pair Programmer Works as Hard as I Do
How I Rediscovered My Love for Building With Help From an Invisible Teammate When I first started programming, it was exciting—creative, even intoxicating. I came from a background in electronics engineering, and code felt like this unlimited sandbox where I could invent anything. I dove in enthusiastically, thinking I’d found the perfect side hustle or creative outlet. But then something…
#AI and software engineering#AI co-pilot for coding#AI coding assistant#AI collaboration in tech#AI in daily development#AI pair programmer#AI software project support#AI tools for developers#AI workflow integration#AI-enhanced software workflow#AI-powered development#artificial intelligence in software development#automate software tasks with AI#benefits of AI in programming#best AI tools for programmers#build faster with AI#ChatGPT coding help#coding with ChatGPT#developer AI tools 2025#developer productivity#GPT developer assistant#GPT-4 for developers#how developers use AI#machine learning coding assistant#productivity with AI#programming efficiency#software development with AI#software engineer and AI#solo developer tools#using AI to write code
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I don't like that the dev community picks on people who are most fluent in Python, when the ChatGPT-using "vibe coders" are right there. At least Python babies are coding. Bully the non-coders instead.
#coding#programming#anyone that doesn't know 'vibe coding' means they asked ChatGPT to write code for them.#Same concept as 'I am a creative bc an LLM regurgitated an output for me'. 'I am an artist bc I told a machine to paint for me.'#programmer#I don't know if people even use that phrase anymore to be honest I feel like it's fallen out of use in favour of engineer or developer#ai bullshit#like. If they hire anyone that actually does know the first thing about coding in favour of a prompt engineer (so-called engineer)#they are going to realise—to costs to the tune of millions—that you can't 'vibe code' your way out of security vulnerabilities. Idiots.#I think we're a good few years out from that since anyone that still has a dev team (i.e. everyone; yes even Salesforce*) realises that#letting a text generator run your business would be MADNESS. That's not gonna happen until the AI snakeoil salesmen manage to gradually#lower everyone's standards of accuracy; security and objectivity. When that happens we're all fucked#(*https://www.salesforceben.com/salesforce-will-hire-no-more-software-engineers-in-2025-says-marc-benioff/#tl;dr salesforce snakeoi— CEO says no more software devs; our AI is sophisticated enough.#Balls it is.)#software engineering#programmer humor#etc etc
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Vibe coding in a nutshell
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The original history of the Mechanical Turk, which was a supposed mechanical man who could play chess with you from the Middle Ages which actually turned out to be a human chess player in a mechanical man suit, has officially repeated itself and we now have Mechanical Turk, 2025 edition (don't talk to me about Amazon Mechanical Turk, that's a whole other post for a whole other day):
This company claimed they had some AI tool that could build apps for you, but apparently what they actually had was 700 software engineers who would build apps for you. Microsoft invested almost a half a billion dollars into this company, and then when they found about this, they pulled out and now the company is declaring bankruptcy.
This is being portrayed as some kind of fraud, and it kind of is, in that they were basically profiteering off of AI hype, but like, being able to hire 700 software engineers to build an app for you is not nothing. It's not worthless. They probably make way better apps than any AI process could make.
The main thing I am taking away from this is that Microsoft is willing to spend half a billion dollars on an AI that builds apps, but is not willing to spend half a billion dollars on 700 human beings that build apps much better than the AI could. Doesn't that just tell you everything about the software industry right now?
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I found out today that my workplace is now asking interview candidates how they feel about AI. My work has become an absolute staunch supporter of generative AI lately and is pressuring everyone to incorporate it into their daily work. Chatting with a few workmates, I am baffled that I'm the only one who seems to have any reservations about this. (I talked with my manager today and he wasn't even aware of all the ethical issues with it! Shocker!)
I want to clarify that I'm not categorically against all AI. I majored in compsci and I did my masters on machine learning. But the things I wanted to build with this skill set are things like anomaly detection and pattern recognition. I get excited about tools like spam filters and accurate search engines. There's a place for generative AI, like with GANs, but I believe that the way it's being wielded now by the industry is just soul-sucking.
My company has heavily hinted that there's no future for anyone there who isn't willing to jump on the genAI bandwagon; rather shocking as it was up until that point, the most employee-friendly company I've worked at so far. I'd hate to lose the comprehensive health benefits it provides at a time I'm dealing with a chronic illness. And even if I did leave, the darlings of the Toronto tech scene had made it clear genAI is their future -- everyone else is going to be copying them. I don't think there's any job that's safe from the AI infiltration.
So I want to ask you guys. If you're at a company that's now forcing you to use genAI, how are you using it in a way that still lets you sleep at night?
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Vibe coding something. This shit is supposed to take my job? All y'all are fucked. We are all fucked.
#my text#vibe coding#it has made mistakes a junior engineer would be embarrassed about#this is openAI ChatGPT#generative ai#programming#software engineering
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Software engineer lost his $150K-a-year job to AI—he’s been rejected from 800 jobs and forced to DoorDash and live in a trailer to make ends meet
https://www.yahoo.com/news/software-engineer-lost-150k-job-090000839.html
#software engineering#software#engineering#artificial intelligence#anti artificial intelligence#anti ai#fuck ai#class war#doordash#ausgov#politas#auspol#tasgov#taspol#australia#fuck neoliberals#neoliberal capitalism#anthony albanese#albanese government
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yeah sorry guys but the machine escaped containment and is no longer in my control or control of any human. yeah if it does anything mortifying it's on me guys, sorry
#funny#haha#comedy#joyful cheer#joyus whimsy#meme#programing#programming#coding#programmer#developer#software engineering#codeblr#codetober#the machine#robot takeover#ai#artificial intelligence#ai sentience
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things i experienced with my delightfully nerdy older brother during the holidays
Older brother: So, what happens when they run out of dinosaur to make Dino nuggets? Dad: They’ll go extinct. Him: Hang on - do we have enough DNA for gene sequencing dinosaurs? Could we actually make Dino meat in a lab? Dad: Course we can! Haven’t you ever seen Jurassic Park? ___________________________ Him, a software engineer, getting off a three hour meeting about developing an AI program, and then spending five minutes trying to toast a bagel in a toaster oven bc the picture at the bottom explaining how to do it was too complicated ___________________________ Me: what do you know about the Higgs-Boson particle? Older Brother: Well, I know what a boson is but every time I’ve actually studied it I’ve felt like a boson myself. ____________________________ Dad: Get in, the car has butt warmers! Him: OOOH, will they make my butt look hot?
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reblog to make him happy
#incorrect quotes#quotes#funny#these are both adults#textposts#humor#memes#writing prompt#family#siblings#holidays#christmas#new years#happy new year#dino nuggets#higgs boson#jurassic park#dinosaurs#ai#software engineers#software engineering#bagel#nerd
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Engineering Innovation Through Intelligent Design - Atcuality
Atcuality empowers businesses with next-gen technology built for humans and enhanced by AI. From concept to code, our team delivers custom software products that are responsive, efficient, and beautiful. We understand that every brand has its own story and needs, so we design and develop with flexibility and purpose. For clients looking to elevate digital performance, we specialize in embedding intelligent features directly into their platforms. This is where an AI powered application becomes a game changer—capable of learning from user behavior, predicting actions, and automating decisions in real time. Our solutions don’t just work—they adapt. Whether you're launching a SaaS product, mobile app, or internal tool, Atcuality brings your vision to life with intelligence and precision.

#artificial intelligence#ai applications#augmented and virtual reality market#digital marketing#augmented reality#emailmarketing#website development#web design#web development#information technology#ai model#ai image#ai artwork#ai art#ai generated#chatgpt#technology#ai development#ai digital art#ai services#ai security#ai technology#ai tools#ai developers#ai chatbot#ai cutie#ai character#software development#software engineering#software company
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The developers i work with are asking chatgpt questions about my infrastructure that are in our docs. Unsurprisingly they are getting bad advice for our particular setup, and are bothering my team with a bunch of questions about if the advice is right and what would happen if they ran those commands.
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OpenAI Releases Codex: A Software Agent that Operates in the Cloud and Can Do Many Tasks in Parallel
OpenAI has released a research preview of Codex, a cloud-based software engineering agent that's not just another code completion tool. Codex is a cloud-based software-engineering agent that turns on isolated sandboxes, pulls your repo, and chips away at features, bug fixes, test suites, and even pull-request boilerplates—often in parallel.
What is OpenAI Codex? 📌
→ Cloud-based software engineering agent
→ Can write features, answer codebase questions, run tests, and propose Pull Requests for review
→ Each task runs in its own isolated cloud environment
→ Provides detailed terminal logs, test outputs, and citations
→ Users can create AGENTS.MD files in their repository to instruct Codex on project-specific commands, testing procedures, and coding standards
→ Powered by codex-1
How to use Codex: 📌
→ Users can access Codex through the ChatGPT sidebar
→ Assign coding tasks by typing a prompt
→ Each request is handled independently
→ Codex can read and edit files and run commands like test suites, linters, and type checkers
→ Task completion generally takes between one and thirty minutes
Once done, Codex runs its changes within its sandboxed environment, which users can then review, ask for more changes, open a GitHub PR, or pull the changes into their local setup.
↗️ Full Read: https://aiagent.marktechpost.com/post/openai-releases-codex-a-software-agent-that-operates-in-the-cloud-and-can-do-many-tasks-in-parallel
Codex: Availability 📌
Codex is currently rolling out to ChatGPT Pro, Enterprise, and Team users, with access for Plus and Edu users planned to come soon.
#agentic ai#ai#ai agency#ai agents#artifical intelligence#chatgpt#codex#ChatGPT Codex#OpenAI Codex#coding#programming#engineering#software#machine learning#software engineering agent#software engineering#coding agent
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Imagine being this stupid to drink Kool-Aid and giving a remote LLM tool full access to your codebase, and, in many cases, not maintaining backups or using proper Git with permissions. How these guys are getting hired to write code is beyond me.
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The Future of Software Engineering: What 2025 Holds
The landscape of software engineering is rapidly evolving. It is shaping up to be as exciting as it is transformative. Gone are the days when coding was solely the domain of dedicated programmers tucked away in dimly lit offices. Today, we’re entering a new era. Artificial intelligence is changing how we approach software development. Real-time computing is also a key factor. Additionally, the…
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I predict that an easy big across-the-board LLM reasoning improvement is to prompt the LLM to argue against every point it makes.
Ideally you have it then argue against those arguments, and so on. Have some stopping condition like "until you cannot think of counter arguments that are better than the previous arguments." But I think even just one iteration of arguing against itself will be an improvement on average.
With existing models, you probably need to do this as two messages, so that the model first gives you the best reasoning it can think of, instead of the easier path of predicting more easily refutable arguments to refute, since those are almost certainly going to be more common in the training data.
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Try not to sound like a sci-fi supervillain in your job listing challenge: impossible
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