#AI Coding Tools for non-programmer

[sursereinisle]

No Coding Skills? AI Tools Help Non-Programmers Code Easily

The world of programming has always been a daunting space for non-programmers. Writing complex lines of code requires a steep learning curve and technical expertise. However, advancements in artificial intelligence have transformed this landscape, making it easier for non-programmers to dive into coding with the help of AI tools. AI-powered coding assistants have revolutionized how people interact with programming languages, enabling those with no prior coding experience to create applications, automate processes, and build software solutions. Whether you are an entrepreneur, a student, or a business professional, AI coding tools can simplify your development journey.

How AI Coding Tools Make Coding Accessible

Coding was once an exclusive skill reserved for software engineers, but AI coding tools have made it more accessible than ever. These tools utilize machine learning and natural language processing to understand and generate code based on user input. Non-programmers can now build applications using AI-assisted features, reducing the reliance on manual coding expertise.

AI-Powered Coding Assistant: A Game Changer for Non-Programmers

The best AI coding assistants provide a seamless experience by suggesting code snippets, auto-correcting syntax errors, and even generating full scripts based on simple text prompts. This means non-programmers can now experiment with coding without the frustration of debugging and syntax complexities. An AI coding tool for non-programmers works like a virtual mentor, guiding users through each step of the development process. Whether it's website development, app creation, or automation tasks, these tools simplify coding tasks and make programming accessible to everyone.

Benefits of Using AI Coding Tools

AI-powered coding tools bring numerous advantages to users without a technical background. From reducing coding errors to accelerating development time, these tools enhance productivity and open new opportunities for creativity.

Learn to Code with AI Tools

For beginners, AI coding tools serve as an educational resource. Instead of spending months learning syntax and programming logic, users can quickly grasp fundamental coding concepts by interacting with AI-driven code generators. This makes learning to code with AI tools a time-efficient and practical approach. AI also assists in providing explanations for complex programming structures. Users can receive real-time feedback, helping them understand how different functions work and how they can optimize their code.

AI Code Generator: Bridging the Skill Gap

AI code generators allow non-programmers to create fully functional programs without manually writing extensive code. These tools can translate user instructions into executable scripts, making coding as easy as typing natural language commands. The efficiency and accuracy of AI-generated code minimize the barriers to software development.

Popular AI Coding Tools for Beginners

For those new to coding, the right AI-powered coding assistant can make a significant difference. Many AI coding tools cater specifically to beginners by providing intuitive interfaces and automated coding support.

Best AI Coding Assistant for Non-Programmers

Choosing the best AI coding assistant depends on the user’s needs. Some AI coding tools offer drag-and-drop interfaces for easy application building, while others focus on generating clean, efficient code.

A few popular AI tools include:

AI-assisted website builders that require no manual coding.

AI-powered app development platforms that simplify complex programming.

AI-enhanced automation tools that allow users to automate workflows with minimal effort.

Each tool is designed to help non-programmers build functional software without extensive coding knowledge.

Overcoming Challenges with AI Coding for Beginners

While AI coding tools are incredibly beneficial, there are still challenges that beginners might face. Understanding how AI interprets user input and refining prompts for better results requires practice. Additionally, while AI-generated code is highly efficient, human oversight is essential to ensure accuracy and security.

The Future of AI-Powered Coding

The integration of AI into coding is still evolving, but the future looks promising. As AI continues to improve, these tools will become even more sophisticated, making programming more accessible to a broader audience. The future of AI coding for beginners will involve more intuitive platforms, smarter AI suggestions, and seamless integration with existing software development processes.

Conclusion

AI coding tools have broken down the barriers that once made programming exclusive to tech professionals. With the right AI-powered coding assistant, non-programmers can now create applications, automate workflows, and experiment with coding without deep technical knowledge.

By leveraging the best AI coding assistant, beginners can quickly learn programming concepts and build functional projects with ease. As AI technology advances, the accessibility and efficiency of AI coding tools will continue to grow, empowering more individuals to code effortlessly.

FAQs

What is an AI coding tool for non-programmers?

An AI coding tool for non-programmers is software that uses artificial intelligence to assist users in generating, debugging, and optimizing code without requiring deep programming knowledge.

How do AI-powered coding assistants help beginners?

AI-powered coding assistants help beginners by providing real-time code suggestions, explanations, and automatic corrections, making it easier for users to learn and apply coding concepts.

Can I build an app without coding skills using AI?

Yes, AI coding tools allow users to build applications without extensive coding knowledge. Many platforms offer drag-and-drop functionality and AI-assisted code generation to simplify the process.

Is AI-generated code reliable?

AI-generated code is generally accurate and efficient, but it should always be reviewed by a human to ensure security, correctness, and optimization.

Which is the best AI coding assistant for non-programmers?

The best AI coding assistant depends on your needs. Popular options include AI-powered website builders, automation platforms, and AI-driven code generators that cater to beginners and professionals alike.

[mariacallous]

On paper, the first candidate looked perfect. Thomas was from rural Tennessee and had studied computer science at the University of Missouri. His résumé said he’d been a professional programmer for eight years, and he’d breezed through a preliminary coding test. All of this was excellent news for Thomas’ prospective boss, Simon Wijckmans, founder of the web security startup C.Side. The 27-year-old Belgian was based in London but was looking for ambitious, fully remote coders.

Thomas had an Anglo-Saxon surname, so Wijckmans was surprised when he clicked into his Google Meet and found himself speaking with a heavily accented young man of Asian origin. Thomas had set a generic image of an office as his background. His internet connection was laggy—odd for a professional coder—and his end of the call was noisy. To Wijckmans, Thomas sounded like he was sitting in a large, crowded space, maybe a dorm or a call center.

Wijckmans fired off his interview questions, and Thomas’ responses were solid enough. But Wijckmans noticed that Thomas seemed most interested in asking about his salary. He didn’t come across as curious about the actual work or about how the company operated or even about benefits like startup stock or health coverage. Odd, thought Wijckmans. The conversation came to a close, and he got ready for the next interview in his queue.

Once again, the applicant said they were based in the US, had an Anglo name, and appeared to be a young Asian man with a thick, non-American accent. He used a basic virtual background, was on a terrible internet connection, and had a single-minded focus on salary. This candidate, though, was wearing glasses. In the lenses, Wijckmans spotted the reflection of multiple screens, and he could make out a white chatbox with messages scrolling by. “He was clearly either chatting with somebody or on some AI tool,” Wijckmans remembers.

On high alert, Wijckmans grabbed screenshots and took notes. After the call ended, he went back over the job applications. He found that his company’s listings were being flooded with applicants just like these: an opening for a full-stack developer got more than 500 applications in a day, far more than usual. And when he looked more deeply into the applicants’ coding tests, he saw that many candidates appeared to have used a virtual private network, or VPN, which allows you to mask your computer’s true location.

Wijckmans didn’t know it yet, but he’d stumbled onto the edges of an audacious, global cybercrime operation. He’d unwittingly made contact with an army of seemingly unassuming IT workers, deployed to work remotely for American and European companies under false identities, all to bankroll the government of North Korea.

With a little help from some friends on the ground, of course.

christina chapman was living in a trailer in Brook Park, Minnesota, a hamlet north of Minneapolis, when she got a note from a recruiter that changed her life. A bubbly 44-year-old with curly red hair and glasses, she loved her dogs and her mom and posting social justice content on TikTok. In her spare time she listened to K-pop, enjoyed Renaissance fairs, and got into cosplay. Chapman was also, according to her sparse online résumé, learning to code online.

It was March 2020 when she clicked on the message in her LinkedIn account. A foreign company was looking for somebody to “be the US face” of the business. The company needed help finding remote employment for overseas workers. Chapman signed on. It’s unclear how fast her workload grew, but by October 2022 she could afford a move from chilly Minnesota to a low-slung, four-bedroom house in Litchfield Park, Arizona. It wasn’t fancy—a suburban corner lot with a few thin trees—but it was a big upgrade over the trailer.

Chapman then started documenting more of her life on TikTok and YouTube, mostly talking about her diet, fitness, or mental health. In one chatty video, shared in June 2023, she described grabbing breakfast on the go—an açaí bowl and a smoothie— because work was so busy. “My clients are going crazy!” she complained. In the background, the camera caught a glimpse of metal racks holding at least a dozen open laptops covered in sticky notes. A few months later, federal investigators raided Chapman’s home, seized the laptops, and eventually filed charges alleging that she had spent three years aiding the “illicit revenue generation efforts” of the government of North Korea.

For maybe a decade, North Korean intelligence services have been training young IT workers and sending them abroad in teams, often to China or Russia. From these bases, they scour the web for job listings all over, usually in software engineering, and usually with Western companies. They favor roles that are fully remote, with solid wages, good access to data and systems, and few responsibilities. Over time they began applying for these jobs using stolen or fake identities and relying on members of their criminal teams to provide fictional references; some have even started using AI to pass coding tests, video interviews, and background checks.

But if an applicant lands a job offer, the syndicate needs somebody on the ground in the country the applicant claims to live in. A fake employee, after all, can’t use the addresses or bank accounts linked to their stolen IDs, and they can’t dial in to a company’s networks from overseas without instantly triggering suspicion. That’s where someone like Christina Chapman comes in.

As the “facilitator” for hundreds of North Korea–linked jobs, Chapman signed fraudulent documents and handled some of the fake workers’ salaries. She would often receive their paychecks in one of her bank accounts, take a cut, and wire the rest overseas: Federal prosecutors say Chapman was promised as much as 30 percent of the money that passed through her hands.

Her most important job, though, was tending the “laptop farm.” After being hired, a fake worker will typically ask for their company computer to be sent to a different address than the one on record—usually with some tale about a last-minute move or needing to stay with a sick relative. The new address, of course, belongs to the facilitator, in this case Chapman. Sometimes the facilitator forwards the laptop to an address overseas, but more commonly that person holds onto it and installs software that allows it to be controlled remotely. Then the fake employee can connect to their machine from anywhere in the world while appearing to be in the US. (“You know how to install Anydesk?” one North Korean operative asked Chapman in 2022. “I do it practically EVERYDAY!” she replied.)

In messages with her handlers, Chapman discussed sending government forms like the I-9, which attests that a person is legally able to work in the US. (“I did my best to copy your signature,” she wrote. “Haha. Thank you,” came the response.) She also did basic tech troubleshooting and dialed into meetings on a worker’s behalf, sometimes on short notice, as in this conversation from November 2023:

Worker: We are going to have laptop setup meeting in 20 mins. Can you join Teams meeting and follow what IT guy say? Because it will require to restart laptop multiple times and I can not handle that. You can mute and just follow what they say ...

Chapman: Who do I say I am?

Worker: You don’t have to say, I will be joining there too.

Chapman: I just typed in the name Daniel. If they ask WHY you are using two devices, just say the microphone on your laptop doesn’t work right ... Most IT people are fine with that explanation.

Sometimes, she got jumpy. “I hope you guys can find other people to do your physical I9s,” she wrote to her bosses in 2023, according to court documents. “I will SEND them for you, but have someone else do the paperwork. I can go to FEDERAL PRISON for falsifying federal documents.” Michael Barnhart, an investigator at cybersecurity company DTEX and a leading expert on the North Korean IT worker threat, says Chapman’s involvement followed a standard pattern—from an innocuous initial contact on LinkedIn to escalating requests. “Little by little, the asks get bigger and bigger,” he says. “Then by the end of the day, you’re asking the facilitator to go to a government facility to pick up an actual government ID.”

By the time investigators raided Chapman’s home, she was housing several dozen laptops, each with a sticky note indicating the fake worker’s identity and employer. Some of the North Korean operatives worked multiple jobs; some had been toiling quietly for years. Prosecutors said at least 300 employers had been pulled into this single scheme, including “a top-five national television network and media company, a premier Silicon Valley technology company, an aerospace and defense manufacturer, an iconic American car manufacturer, a high-end retail store, and one of the most recognizable media and entertainment companies in the world.” Chapman, they alleged, had helped pass along at least $17 million. She pleaded guilty in February 2025 to charges relating to wire fraud, identity theft, and money laundering and is awaiting sentencing.

Chapman’s case is just one of several North Korean fake-worker prosecutions making their way through US courts. A Ukrainian named Oleksandr Didenko has been accused of setting up a freelancing website to connect fake IT workers with stolen identities. Prosecutors say at least one worker was linked to Chapman’s laptop farm and that Didenko also has ties to operations in San Diego and Virginia. Didenko was arrested in Poland last year and was extradited to the United States. In Tennessee, 38-year-old Matthew Knoot is due to stand trial for his alleged role in a scheme that investigators say sent hundreds of thousands of dollars to accounts linked to North Korea via his laptop farm in Nashville. (Knoot has pleaded not guilty.) And in January 2025, Florida prosecutors filed charges against two American citizens, Erick Ntekereze Prince and Emanuel Ashtor, as well as a Mexican accomplice and two North Koreans. (None of the defendants’ lawyers in these cases responded to requests for comment.) The indictments claim that Prince and Ashtor had spent six years running a string of fake staffing companies that placed North Koreans in at least 64 businesses.

before the hermit kingdom had its laptop farms, it had a single confirmed internet connection, at least as far as the outside world could tell. As recently as 2010, that one link to the web was reserved for use by high-ranking officials. Then, in 2011, 27-year-old Kim Jong Un succeeded his father as the country’s dictator. Secretly educated in Switzerland and said to be an avid gamer, the younger Kim made IT a national priority. In 2012, he urged some schools to “pay special attention to intensifying their computer education” to create new possibilities for the government and military. Computer science is now on some high school curricula, while college students can take courses on information security, robotics, and engineering.

The most promising students are taught hacking techniques and foreign languages that can make them more effective operatives. Staff from government agencies including the Reconnaissance General Bureau— the nation’s clandestine intelligence service—recruit the highest-scoring graduates of top schools like Kim Chaek University of Technology (described by many as “the MIT of North Korea”) or the prestigious University of Sciences in Pyongsong. They are promised good wages and unfettered access to the internet—the real internet, not the intranet available to well-off North Koreans, which consists of a mere handful of heavily censored North Korean websites.

The earliest cyberattacks launched by Pyongyang were simple affairs: defacing websites with political messages or launching denial-of-service attacks to shut down US websites. They soon grew more audacious. In 2014, North Korean hackers famously stole and leaked confidential information from Sony’s film studio. Then they targeted financial institutions: Fraudulent trades pulled more than $81 million from the Bank of Bangladesh’s accounts at the New York Federal Reserve. After that, North Korean hackers moved into ransomware—the WannaCry attack in 2017 locked hundreds of thousands of Windows computers in 150 countries and demanded payments in bitcoin. While the amount of revenue the attack generated is up for debate—some say it earned just $140,000 in payouts—it wreaked much wider damage as companies worked to upgrade their systems and security, costing as much as $4 billion, according to one estimate.

Governments responded with more sanctions and stronger security measures, and the regime pivoted, dialing back on ransomware in favor of quieter schemes. It turns out these are also more lucrative: Today, the most valuable tool in North Korea’s cybercrime armory is cryptocurrency theft. In 2022, hackers stole more than $600 million worth of the cryptocurrency ether by attacking the blockchain game Axie Infinity; in February of this year, they robbed the Dubai-based crypto exchange Bybit of $1.5 billion worth of digital currency. The IT pretender scam, meanwhile, seems to have been growing slowly until the pandemic dramatically expanded the number of remote jobs, and Pyongyang saw the perfect opportunity.

In 2024, according to a recent report from South Korea’s National Intelligence Service, the number of people working in North Korea’s cyber divisions—which includes pretenders, crypto thieves, and military hackers—stood at 8,400, up from 6,800 two years earlier. Some of these workers are based in the country, but many are stationed overseas in China, Russia, Pakistan, or elsewhere. They are relatively well compensated, but their posting is hardly cushy.

Teams of 10 to 20 young men live and work out of a single apartment, sleeping four or five to a room and grinding up to 14 hours a day at weird hours to correspond with their remote job’s time zone. They have quotas of illicit earnings they are expected to meet. Their movements are tightly controlled, as are those of their relatives, who are effectively held hostage to prevent defections. “You don’t have any freedom,” says Hyun-Seung Lee, a North Korean defector who lives in Washington, DC, and says some of his old friends were part of such operations. “You’re not allowed to leave the apartment unless you need to purchase something, like grocery shopping, and that is arranged by the team leader. Two or three people must go together so there’s no opportunity for them to explore.”

The US government estimates that a typical team of pretenders can earn up to $3 million each year for Pyongyang. Experts say the money is pumped into everything from Kim Jong Un’s personal slush fund to the country’s nuclear weapons program. A few million dollars may seem small next to the flashy crypto heists— but with so many teams operating in obscurity, the fraud is effective precisely because it is so mundane.

in the summer of 2022, a major multinational company hired a remote engineer to work on website development. “He would dial in to meetings, he would participate in discussions,” an executive at the company told me on condition of anonymity. “His manager said he was considered the most productive member of the team.”

One day, his coworkers organized a surprise to celebrate his birthday. Colleagues gathered on a video call to congratulate him, only to be startled by his response—but it’s not my birthday. After nearly a year at the company, the worker had apparently forgotten the birth date listed in his records. It was enough to spark suspicion, and soon afterward the security team discovered that he was running remote access tools on his work computer, and he was let go. It was only later, when federal investigators discovered one of his pay stubs at Christina Chapman’s laptop farm in Arizona, that the company connected the dots and realized it had employed a foreign agent for nearly a year.

For many pretenders, the goal is simply to earn a good salary to send back to Pyongyang, not so much to steal money or data. “We’ve seen long-tail operations where they were going 10, 12, 18 months working in some of these organizations,” says Adam Meyers, a senior vice president for counter adversary operations at the security company CrowdStrike. Sometimes, though, North Korean operatives last just a few days— enough time to download huge amounts of company data or plant malicious software in a company’s systems before abruptly quitting. That code could alter financial data or manipulate security information. Or these seeds could lay dormant for months, even years.

“The potential risk from even one minute of access to systems is almost unlimited for an individual company,” says Declan Cummings, the head of engineering at software company Cinder. Experts say that attacks are ramping up not just in the US but also in Germany, France, Britain, Japan and other countries. They urge companies to do rigorous due diligence: speak directly to references, watch for candidates making sudden changes of address, use reputable online screening tools, and conduct a physical interview or in-person ID verification.

But none of these methods are foolproof, and AI tools are constantly weakening them. ChatGPT and the like give almost anyone the capacity to answer esoteric questions in real time with unearned confidence, and their fluency with coding threatens to make programming tests irrelevant. AI video filters and deepfakes can also add to the subterfuge.

At an onboarding call, for instance, many HR representatives now ask new employees to hold their ID up to the camera for closer inspection. “But the fraudsters have a neat trick there,” says Donal Greene, a biometrics expert at the online background check provider Certn. They take a green-colored card the exact shape and size of an identity card—a mini green screen—and, using deepfake technology, project the image of an ID onto it. “They can actually move it and show the reflection,” says Greene. “It’s very sophisticated.” North Korean agents have even been known to send look-alikes to pick up a physical ID card from an office or to take a drug test required by prospective employers.

Even security experts can be fooled. In July 2024, Knowbe4, a Florida-based company that offers security training, discovered that a new hire known as “Kyle” was actually a foreign agent. “He interviewed great,” says Brian Jack, KnowBe4’s chief information security officer. “He was on camera, his résumé was right, his background check cleared, his ID cleared verification. We didn’t have any reason to suspect this wasn’t a valid candidate.” But when his facilitator—the US-based individual giving him cover—tried to install malware on Kyle’s company computer, the security team caught on and shut him out.

Back in london, Simon Wijckmans couldn’t let go of the idea that somebody had tried to fool him. He’d just read about the Knowbe4 case, which deepened his suspicions. He conducted background checks and discovered that some of his candidates were definitely using stolen identities. And, he found, some of them were linked to known North Korean operations. So Wijckmans decided to wage a little counter exercise of his own, and he invited me to observe.

I dial in to Google Meet at 3 am Pacific time, tired and bleary. We deliberately picked this offensively early hour because it’s 6 am in Miami, where the candidate, “Harry,” claims to be.

Harry joins the call, looking pretty fresh-faced. He’s maybe in his late twenties, with short, straight, black hair. Everything about him seems deliberately nonspecific: He wears a plain black crewneck sweater and speaks into an off-brand headset. “I just woke up early today for this interview, no problem,” he says. “I know that working with UK hours is kind of a requirement, so I can get my working hours to yours, so no problem with it.”

So far, everything matches the hallmarks of a fake worker. Harry’s virtual background is one of the default options provided by Google Meet, and his connection is a touch slow. His English is good but heavily accented, even though he tells us he was born in New York and grew up in Brooklyn. Wijckmans starts with some typical interview questions, and Harry keeps glancing off to his right as he responds. He talks about various coding languages and name-drops the frameworks he’s familiar with. Wijckmans starts asking some deeper technical questions. Harry pauses. He looks confused. “Can I rejoin the meeting?” he asks. “I have a problem with my microphone.” Wijckman nods, and Harry disappears.

A couple of minutes pass, and I start to fret that we’ve scared him away, but then he pops back into the meeting. His connection isn’t much better, but his answers are clearer. Maybe he restarted his chatbot, or got a coworker to coach him. The call runs a few more minutes and we say goodbye.

Our next applicant calls himself “Nic.” On his résumé he’s got a link to a personal website, but this guy doesn’t look much like the profile photo on the site. This is his second interview with Wijckmans, and we are certain that he’s faking it: He’s one of the applicants who failed the background check after his first call, although he doesn’t know that.

Nic’s English is worse than Harry’s: When he’s asked what time it is, he tells us it’s “six and past” before correcting himself and saying “quarter to seven.” Where does he live? “I’m in Ohio for now,” he beams, like a kid who got something right in a pop quiz.

Several minutes in, though, his answers become nonsensical. Simon asks him a question about web security. “Political leaders ... government officials or the agencies responsible for border security,” Nic says. “They’re responsible for monitoring and also securing the borders, so we can employ the personnel to patrol the borders and also check the documents and enforce the immigration laws.”

I’m swapping messages with Wijckmans on the back channel we’ve set up when it dawns on us: Whatever AI bot Nic seems to be using must have misinterpreted a mention of “Border Gateway Protocol”—a system for sending traffic across the internet—with national borders, and started spewing verbiage about immigration enforcement. “What a waste of time,” Wijckmans messages me. We wrap up the conversation abruptly.

I try to put myself in the seat of a hiring manager or screener who’s under pressure. The fraudsters’ words may not have always made sense, but their test scores and résumés looked solid, and their technical-sounding guff might be enough to fool an uninformed recruiter. I suspect at least one of them could have made it to the next step in some unsuspecting company’s hiring process.

Wijckmans tells me he has a plan if he comes across another pretender. He has created a web page that looks like a standard coding assessment, which he’ll send to fake candidates. As soon as they hit the button to start the test, their browser will spawn dozens of pop-up pages that bounce around the screen, all of them featuring information on how to defect from North Korea. Then loud music plays—a rickroll, “The Star-Spangled Banner”—before the computer starts downloading random files and emits an ear-splitting beep. “Just a little payback,” he says.

Wijckman’s stunt is not going to stop the pretenders, of course. But maybe it will irritate them for a moment. Then they’ll get back to work, signing on from some hacking sweatshop in China or through a laptop farm in the US, and join the next team meeting—a quiet, camera-off chat with coworkers just like me or you.

[jackdaw-kraai]

The thing I think isn't talked about enough in all these conversations about "AI art" is how, even if you work out all the kinks, even if you get it to the point that it works perfectly according to the most lofty goals set, even if all that came true... AI will still disappoint when set next to even just a moderately skilled human artist. Not because of any technical flaws with the product, but because of its fundamental limitations as a tool.

AI, as we understand it right now, without all the grandstanding and doomsday predictions and near-mythological qualities we ascribe to it, works on binary. Down to its core, stripped to its studs, it works on binary code, and you see that reflected in the design. Every choice it makes, every result it produces, is a result of a million, billion "yes or no" questions asked of it that chain together into a coherent response. Endless amounts of "TRUE or FALSE" results spat out when data is fed into it, that string together to form a conversation, or an essay, or a painting, or a comic. At least, when trained on enough data to weigh the odds in favor of what the creators want it to do.

If you ask ChatGPT to tell you something about romance, it filters its endless data banks for what that training data it was given matches your request and what results in those tests were rewarded by its programmers and which were discouraged and based on all that, it begins making TRUE or FALSE choices with the odds weighed by that data. That's how all AI we currently have fundamentally work, and that, in and of itself, is not a bad thing. It's a tool, and tools are hard pressed to be evil. What it is, however, is vastly inferior to the process of a human writer for one simple fact: when asked a question, we have more options than to answer it TRUE or FALSE.

If you ask a human writer to tell you about romance, they too will draw upon all the memories they have stored away of what they know about romance and base an answer off of that. But they will also draw up all the knowledge they have on astronomy, to compare the feeling it creates inside to that of hydrogen fusing, and that of medicine, because it burns so bright inside that it feels like your rib cage feels like it should be alight from the inside until it looks like an inverted x-ray image. A human writer will visualize the way love feels and draw connections an AI couldn't fathom, because it was never trained to do so. And more than that, if a human writer tells you about romance, they won't tell you just about romance.

They will tell you about how romance happens.

They will tell you about what romance between a young Polish woman and a young Polish man living in what would one day be the powiat of Bieszczadzki on the border with Ukraine, but for now are just the Bieszczadzki mountains, in the spring of 1914 would have looked like. And they will tell you about how it looked like all the months afterwards as the young man is drafted into the army and their home is ravaged by WWI as the Bieszczadzki mountains become one of the most bitterly contested regions in the Eastern Front during the war. They will tell you about how romance, how the love blooming from it, cannot fix the damage wrought by senseless battles fought by powers so much greater than the two of them, but how it carries them through the war nonetheless.

And what's more, they will know enough about the history of Poland to parallel the growing love between these two young people with the growing, not-yet-formed modern state of Poland that will once again rise from the ashes of the war after having previously been partitioned by greater powers into non-existence.

A human writer will not only have the knowledge to do that, they will have the skills and manner of thinking necessary to form the thoughts that will lead to such a story and make it into something incredible. An AI, no matter how well you train it, no matter how good you make it at emulating a writer's style, will not be able to form the same thought process. Not because it is flawed, but because it simply isn't built for that.

An AI cannot experience nationalism or patriotism for a country, an AI cannot reason out how people might have lived in the absence of credible historic evidence when it runs up against a gap in its data, an AI will not understand the link between fragile, young love blooming in adversity and a country struggling to be reborn in spite of the greater nations around it that wish it would remain dead. It cannot do this, because it isn't based in "TRUE or FALSE" questions. It's based in the painfully human experience of complicated emotions, difficult thoughts, and yes, even deeply flawed ways of looking at the world that nonetheless are beautiful exactly for having those flaws.

An AI, at its core, with where the technology is right now, is a machine of averages. Even if we polish it to peak performance, that will not change. At peak performance, it will still give you an average of all the possible answers it could give, it will be technically flawless, and it will never be anything even close to a fraction of the lightning in a bottle that a writer with categorically shit technique can capture if their heart and mind are put into it.

And let's be honest here and step a foot outside of the bubble of speculation, just for a bit: AI will never, ever, give you an answer or story that pushes boundaries or makes you think like even the most technically incompetent but passionate authors are able to.

Because in order to push boundaries, in order to deliver a message, you have to be willing to make people uncomfortable. You have to be willing to be messy and raw to the point that your story bleeds. And even if we polished AI to perfection, even if, by some miracle of a completely new and fresh coding base, it could do all those things... the humans pulling the strings of the machine would never allow it to do so. Because if their machine produces stories that push boundaries, that have things to say, that make people uncomfortable, it's not going to be profitable. It's not going to be advertiser-friendly. It's not going to please the stock market. And let's be honest here, in the end, that's what matters to those people.

AI cannot write the stories that people want it to, that they truly want it to, because in the end, the stories we want to hear are not the stories it can tell. The stories we want to hear are, in the end, painfully human, in all the best and worst ways possible. And if you want a human story, if you want to have something like that lightning in a bottle, AI can never be more than a tool in making them instead of the maker itself. A potentially useful and innovative tool, but nothing more than that.

Because if you want human stories, no one but a human will be able to write them. And no one but a human will be able to read them and understand what's being said.

[circlejourney]

Playing the devil's advocate on AI and generative art

As someone who has long been making and enjoying generative art ("generative" as in all kinds of computer generation), and has written lessons about how to write programmes that do it, I'm always regretful that the current AI discourse leans so heavily on the argument that images made by a computer cannot be art because they lack the human touch, or whatever.

Because generative art is a mature field and this is a well-trodden discourse! People have been written and argued about it for decades, whether computer-generated imagery can be considered art, and whether beauty is in the form or in the perception, and so on.

Here's some generative art I've made - not a single pixel was placed directly by my hand, and it was all programmed with Processing / turtle libraries:

You might be tempted to point out that you can see my creative voice in the output. And you're right - I iteratively adjusted the code to make it produce an effect I liked. The results are, effectively, curated.

The only problem is...the above also describes the output of any generative AI. The AI user is choosing their prompts based on taste, refining their prompts if they don't like what they get, picking the best images for display. So now I have to ask, where does the difference lie? Is it in the time I spent programming the tools? What if I snagged the code from someone else and modified it to produce something I liked better? Is it that in your view, there's a clean divide between Tool and Input and because I made the Tool, that makes it art? Are fiber arts a kind of art, then, when the maker didn't invent the patterns but may have modified them for their purposes?

I think being an art critic or appreciator (two sides of the same coin) means revelling in non-answers. People aren't going to agree on whether this is art, whether it's beautiful, etc. and in my opinion that's fine, because beauty is a phenomenon. It emerges from the viewer's engagement with the piece. You can think something is not beautiful, and really it should not dictate what others think is beautiful.

So please...I know the genie's out of the bottle and there's no take backs on cultural moments...but I wish people would argue it on the basis of worker's rights, on the use of human work without consent...not on whether we can categorically call everything made by a computer ugly.

[chappydev]

I don't really think they're like, as useful as people say, but there are genuine usecases I feel -- just not for the massive, public facing, plagiarism machine garbage fire ones. I don't work in enterprise, I work in game dev, so this goes off of what I have been told, but -- take a company like Oracle, for instance. Massive databases, massive codebases. People I know who work there have told me that their internally trained LLM is really good at parsing plain language questions about, say, where a function is, where a bit oif data is, etc., and outputing a legible answer. Yes, search machines can do this too, but if you've worked on massive datasets -- well, conventional search methods tend to perform rather poorly.

From people I know at Microsoft, there's an internal-use version of co-pilot weighted to favor internal MS answers that still will hallucinate, but it is also really good at explaining and parsing out code that has even the slightest of documentation, and can be good at reimplementing functions, or knowing where to call them, etc. I don't necessarily think this use of LLMs is great, but it *allegedly* works and I'm inclined to trust programmers on this subject (who are largely AI critical, at least wrt chatGPT and Midjourney etc), over "tech bros" who haven't programmed in years and are just execs.

I will say one thing that is consistent, and that I have actually witnessed myself; most working on enterprise code seem to indicate that LLMs are really good at writing boilerplate code (which isn't hard per se, bu t extremely tedious), and also really good at writing SQL queries. Which, that last one is fair. No one wants to write SQL queries.

To be clear, this isn't a defense of the "genAI" fad by any means. chatGPT is unreliable at best, and straight up making shit up at worst. Midjourney is stealing art and producing nonsense. Voice labs are undermining the rights of voice actors. But, as a programmer at least, I find the idea of how LLMs work to be quite interesting. They really are very advanced versions of old text parsers like you'd see in old games like ZORK, but instead of being tied to a prewritten lexicon, they can actually "understand" concepts.

I use "understand" in heavy quotes, but rather than being hardcoded to relate words to commands, they can connect input written in plain english (or other languages, but I'm sure it might struggle with some sufficiently different from english given that CompSci, even tech produced out of the west, is very english-centric) to concepts within a dataset and then tell you about the concepts it found in a way that's easy to parse and understand. The reason LLMs got hijacked by like, chatbots and such, is because the answers are so human-readable that, if you squint and turn your head, it almost looks like a human is talking to you.

I think that is conceptually rather interesting tech! Ofc, non LLM Machine Learning algos are also super useful and interesting - which is why I fight back against the use of the term AI. genAI is a little bit more accurate, but I like calling things what they are. AI is such an umbrella that includes things like machine learning algos that have existed for decades, and while I don't think MOST people are against those, I see people who see like, a machine learning tool from before the LLM craze (or someone using a different machine learning tool) and getting pushback as if they are doing genAI. To be clear, thats the fault of the marketing around LLMs and the tech bros pushing them, not the general public -- they were poorly educated, but on purpose by said PR lies.

Now, LLMs I think are way more limited in scope than tech CEOs want you to believe. They aren't the future of public internet searches (just look at google), or art creation, or serious research by any means. But, they're pretty good at searching large datasets (as long as there's no contradictory info), writing boilerplate functions, and SQL queries.

Honestly, if all they did was SQL queries, that'd be enough for me to be interested fuck that shit. (a little hyperbolic/sarcastic on that last part to be clear).

ur future nurse is using chapgpt to glide thru school u better take care of urself

[digitablogbybisma]

Programming

Programming: The Language of the Digital Age

Programming is the backbone of the digital world. It’s the process of writing instructions that computers follow to perform specific tasks. From mobile apps and websites to artificial intelligence and space technology, programming drives innovation in nearly every field.

At its core, programming is about problem-solving. Programmers use languages like Python, JavaScript, Java, and C++ to create solutions that automate tasks, process data, and build interactive systems. Each language has its strengths — Python is popular for its simplicity and is widely used in AI and data science, while JavaScript powers the web.

Learning to program develops logical thinking, creativity, and attention to detail. It encourages a mindset of experimentation and continuous learning, as technologies constantly evolve. Today, with the rise of user-friendly tools and online platforms, programming is more accessible than ever — even beginners can build applications or automate tasks without a formal computer science background.

In the job market, programming is a highly sought-after skill. Software development, data analysis, cybersecurity, and game design all rely on coding expertise. Additionally, non-technical roles in marketing, business, and education increasingly benefit from basic programming knowledge.

Beyond careers, programming empowers individuals to create. Whether it’s building a personal blog, developing a game, or contributing to open-source projects, coding gives people the tools to bring ideas to life.

As the world becomes more digitized, programming is not just a technical skill — it’s a form of digital literacy. It enables people to understand and shape the technologies that influence our lives. Whether you’re writing your first “Hello, World!” or building complex systems, programming offers endless opportunities to learn, build, and innovate.

In short, programming is more than code — it’s the language of creation in the 21st century.

[mysoulglitter]

Python for Everyone: From Students to Professionals

Python has evolved into more than just a programming language—it's a bridge between ideas and innovation. In 2025, Python remains the go-to language for beginners, experienced developers, researchers, and even non-programmers. Its readability, simplicity, and vast ecosystem make it a perfect fit for anyone looking to solve problems through code. Whether you're a student exploring your first line of code or a professional seeking career growth, Python opens doors across industries.

Why Python Appeals to Everyone

Beginner-Friendly and Easy to Learn

Python’s syntax is simple and mirrors everyday English, making it beginner-friendly and easy to understand. Unlike many other programming languages that require steep learning curves, Python makes it possible to write meaningful code within hours of learning. For students, this lowers the barrier to entry. You can grasp concepts like loops, functions, and data structures without getting overwhelmed. Professionals from non-technical backgrounds also find it easier to automate tasks or perform data analysis using Python.

Highly Versatile

Python isn’t tied to one niche. It powers websites, analyzes massive data sets, drives artificial intelligence models, automates business processes, and much more.

Web developers use Django or Flask.

Data scientists rely on Pandas, NumPy, and Matplotlib.

AI engineers build models using TensorFlow or PyTorch.

Finance professionals automate reports with Python scripts.

Educators use Python to teach logic and problem-solving.

Whatever your field, Python has tools to support your goals.

A Language with Real-World Applications

Python’s applications are not just theoretical. It's used in mission-critical environments by top companies like Google, Netflix, NASA, and Microsoft. For students, this means that the skills you learn today are directly applicable in the workplace. For professionals, Python adds value by automating tasks, improving productivity, and enabling innovation.

Thriving Community and Abundant Resources

Python boasts one of the largest programming communities in the world. From open-source contributions and discussion forums to YouTube tutorials and university-level courses, learners at all stages have access to guidance, support, and updates. Need help fixing a bug?Curious about how to build a machine learning model? The answer is often just a search away.

How Students Benefit from Learning Python

Improves logical thinking and problem-solving skills

Encourages project-based learning through simple games or calculators

Prepares students for college and career opportunities

Python is commonly used in academic disciplines like mathematics, biology, and economics.

Python is even being introduced in schools as part of STEM education, making it an early gateway to technology and innovation.

How Professionals Use Python to Advance Their Careers

Professionals in finance, marketing, HR, and engineering are all leveraging Python to:

Automate routine tasks like report generation or data entry

Analyze and visualize business data for better decision-making

Create internal tools for managing workflows

Venture into high-demand areas like data science and AI to unlock new opportunities.

Adding Python to your skillset boosts your resume, helps in career transitions, and enables you to take on more complex roles.

Getting Started the Right Way

While there are many online tutorials and self-study options, structured learning offers a faster and more focused path. Enrolling in a python training course in Ahmedabad gives you access to a planned curriculum, guided mentorship, and real-time feedback—all critical for mastering the language. Choosing the right python training institute in Ahmedabad ensures you're learning not just syntax, but also best practices, project development, and real-world applications. Many institutes also offer placement support, helping you transition into a tech career smoothly.

Python is truly for everyone. It empowers students to learn the logic behind technology and equips professionals to solve real-world problems creatively. Its simplicity combined with robust capabilities makes it the most inclusive language of our time. Whether you're starting fresh or upskilling for the future, Python is a smart investment in your personal and professional growth. With the right mindset and the right training, your Python journey in 2025 can take you places you never imagined.

[jadeharleyinc]

first: i am a programmer. "having a machine execute my thoughts for me" is literally the point for me. i don't care about "laziness" when making art, whether via code, drawing software, or AI software. in fact, it's common in programmer culture to consider "laziness" a virtue because finishing the creative process in the least amount of steps possible is a rewarding experience in and of itself.

second: it is entirely possible to customize the output of an AI software by writing your own python code, by hooking up several AIs together, by fiddling with models and samplers and parameters, and so on. you can type a sentence into a box and click "generate" but this is the skill floor, not the ceiling.

third: can you explain how, by generating an image, i am "using an external tool and not exercising my self imagination and skills", but taking out my phone and pointing it out at a pretty sunset and pressing a single button to get a picture of a pretty sunset (you know, photography) is fine? what about tools like Visions of Chaos, which takes a (potentially dead simple) mathematical formula as input and produce fractals as output, without me making decisions about the result? (fractal art being an established form of art, mind you)

fourth: there are entire mediums and art movements about giving up your thoughts and letting an external process take over as a mean of self-expression. there is of course (non-AI) algorithmic art, which includes fractal art and procedural art. what about found objects and specifically marcel duchamp's readymades? can you tell me how marcel duchamp's fountain showed his "skill" and "expressed his thoughts and emotions" even though it is quite literally a piece of slop he didn't design at all, but took from a factory and signed?

fifth: your narrow definition of art was rejected by the entire dada movement over 100 years ago and keeps being rejected by conceptual artists, which is why if you go to a modern museum right now in 2025 you have a pretty good chance of seeing art that uses AI (example: the Centre Pompidou or the Museum of Modern Art), because the art world doesn't really care about "skill" and "laziness" and a lot of people, like them and me, just have a different definition of art than you do.

As gen-AI becomes more normalized (Chappell Roan encouraging it, grifters on the rise, young artists using it), I wanna express how I will never turn to it because it fundamentally bores me to my core. There is no reason for me to want to use gen-AI because I will never want to give up my autonomy in creating art. I never want to become reliant on an inhuman object for expression, least of all if that object is created and controlled by tech companies. I draw not because I want a drawing but because I love the process of drawing. So even in a future where everyone’s accepted it, I’m never gonna sway on this.

[raviniastar]

Using AI for non-creative stuff is starting to grow on me a little.

Like, I am shit at coding and coding tutorials suck ass but I can be like "walk me through the steps of how to code this" and figure out how to do simple stuff like HTML5 games, where I'm still using my own art and writing and the code is just the skeleton/glue making it run.

There are still people using AI for shitty things for sure, and creative stuff like art and writing has a lot of theft going on, and I know people look at anything with AI like "you couldn't afford to pay someone to do that?" and like. Yeah, I couldn't afford to pay a programmer. Not to mention the added stress of working with another human being, their schedule, their personality, and inevitable miscommunication means it is not something I have ever been able to do without mountains of issues. It also means I could not do my own troubleshooting, or change things on the fly.

I am not a company. I am not a billionaire. I am making things because I like making it, and this isn't much different than using a template. I can edit the code from the bare bones, and if it goes wrong I can paste the whole thing over and get an instant "syntax is wrong here" response. It's a tool, and just because people are using a tool poorly doesn't mean it isn't useful.

I just think it 's more morally grey than that, y'know? I don't think it should be used in schools, or in professional settings. But I'm not coding for a job or for a grade, and what I want to do for a job (art/writing) is the part I am doing 100% myself.

[shoshanews]

Position Summary Company: First National Bank (FNB)Industry: Information Technology / BankingJob Category: Coding Programme / LearnershipLocation: Online (South Africa & other African regions)Contract Type: Free Online Programme (Non-remunerative)Remuneration: Free Coding TrainingEE position: Open to All ApplicantsClosing Date: 22 April 2025 Introduction The demand for skilled tech professionals continues to grow, and First National Bank (FNB) is addressing this gap with the return of its FNB App Academy 2025 – a free online coding programme that offers aspiring developers the opportunity to gain relevant, job-ready digital skills. This initiative by one of South Africa’s leading financial institutions is designed to uplift youth through coding education, and applications are officially open. Since its launch, the App Academy has empowered over 17,000 learners across South Africa and other countries, equipping them with valuable programming knowledge and preparing them for the real-world demands of the technology and software development sectors. This 9-week programme is flexible, accessible, and interactive — perfect for individuals with a passion for web development, React applications, and digital innovation. With classes held twice weekly, it is structured to accommodate learners with varying schedules, enabling seamless participation. Job Description: The FNB App Academy 2025 is an immersive online learning journey aimed at helping individuals learn how to code, design, and build real applications using the latest in-demand tools and frameworks. Through a structured curriculum that covers beginner to advanced levels, students will gain hands-on experience with: - JavaScript programming fundamentals - Frontend development using React - Software tools like GitHub, Firebase, and Tailwind CSS - Core software design methodologies including UX Design and Design Thinking - Practical projects like building a task tracking application - Exposure to business development, marketing strategies, and AI in app development The programme not only teaches coding but introduces learners to the broader world of digital entrepreneurship, ensuring they understand how to bring a tech product to market. Ideal Candidate: This opportunity is ideal for: - Young people passionate about technology, coding, and software engineering - Beginners with no prior coding experience who want to explore the tech space - Aspiring web and mobile app developers looking to upskill - Students seeking a free learnership-style opportunity that delivers valuable career-readiness skills - Entrepreneurs interested in developing and launching their own digital apps or solutions - Anyone with a basic computer or smartphone and a stable internet connection There are no formal qualifications required to apply, making this one of the most inclusive digital upskilling programmes currently available. Role Responsibility: Participants will be expected to: - Attend two online classes per week - Complete weekly assignments and practical coding exercises - Build and test real applications in a collaborative virtual environment - Participate in peer reviews and code collaboration using GitHub - Engage in weekly feedback sessions to track progress and address challenges - Complete final projects to demonstrate acquired skills and readiness for further career development or employment Throughout the programme, learners will receive guidance and mentoring from industry experts and professional developers. Skills & Attributes: The App Academy has been carefully designed to cultivate a wide range of technical and soft skills, including: Technical Skills: - JavaScript Programming - React.js Development - GitHub Version Control - Tailwind CSS UI Styling - Firebase Integration - Backend Development - Data Input & Management - Using APIs & Processing JSON - Mobile App Strategies - Working with Hardware APIs Design & Business Skills: - UX/UI Design Principles - Design Thinking Methodologies - App Monetisation and Business Funding - Marketing and Branding for Digital Products - Entrepreneurial Mindset Soft Skills: - Collaboration in tech teams - Problem-solving using code - Adaptability and learning agility - Confidence in applying tech knowledge - Effective online communication Programme Breakdown: Beginner Level: - Introduction to JavaScript and Programming Logic - Basics of React and App Development - GitHub and Version Control - Fundamentals of UX Design - Overview of Design Thinking - Introduction to AI in App Development - Basics of Business Development Intermediate Level: - Advanced React Basics (Dynamic Data, Inputs, Styling) - Creation of TaskMate – A Task Tracking Application - Layouts and Screen Transitions - Accessing Hardware APIs - Data Input Processing and Analysis - App Strategy and Deployment Fundamentals Advanced Level: - Advanced React Features (React Router, Navigation) - Tailwind CSS for UI Creation - Firebase for Backend and Authentication - API Usage and JSON Data Processing - Backend Development Essentials - Marketing Your App and Finding Business Funding How to Apply Applying is simple and completely online. Interested individuals can follow these steps: - Visit the official FNB App Academy 2025 Application Portal - Complete the application form with accurate personal details - Submit a brief motivation on why you want to join the academy - Ensure you have access to a computer/smartphone and stable internet connection Once submitted, shortlisted applicants will be contacted via email for next steps. Important: Applications close on 22 April 2025. Early application is strongly encouraged as spaces are limited. Why Choose FNB App Academy? - 100% Free and Online - No previous experience required - Structured learning path with live instruction - Real-world projects to build your portfolio - Supportive online community of learners - Career readiness and entrepreneurship support - Opens doors to tech jobs and internships The FNB App Academy continues to transform lives by providing access to top-tier digital education for free. Whether you're starting your tech journey or looking to build something meaningful, this programme offers a golden opportunity to gain tech skills, build projects, and join South Africa’s digital future. Apply Learn to Code for Free with FNB App Academy Read the full article

[fourohfourlifenotfound]

Programmer here, in the pretty large tech division of a non-tech company. I'd say this is where the true believer holdouts remain

Management is still pushing hard for devs to adopt it-- not so they can lay us off, they claim, but so we can "automate easy tasks like unit tests" (if you don't know what a unit test is, it's like the safeguards that prevent life-ruining code from going out there. So that tells you how much management knows)

There's still quite a few people drinking the Kool-Aid. I think that they're seeing the benefit as "making things easier", because it shifts your brain from problem solving to information verification, and people are too willing to trust it.

My prediction for the next year is that we will start to see major data or security issues escape containment because of genAI code verified by genAI unit tests and overlooked in burnt-out code reviews (because surely having AI tools means we can do more work, right?!). The cracks will start to appear once the Kool-Aid drinkers realize they're spending more time fixing bugs than they'd be doing if they didn't use genAI in the first place.

I feel like the big push for AI is starting to flag. Even my relatively tech obsessed dad is kinda over it. What do you even use it for? Because you sure as hell dont want to use it for fact checking.

There's an advertisement featuring a woman surreptitiously asking her phone to provide her with discussion topics for her book club. And like... what. Is this the use case for commercial AI? This the best you could come up with? Lying to your friends about Moby Dick?

[precisiotech]

How AI Is Revolutionizing Web Application Development in 2025

Artificial Intelligence (AI) constructs new web applications that surpass previous standards for both speed and efficiency as well as superior performance. Web development has transformed to include AI components as a basic requirement for all systems by 2025. Every web application transformation stems from AI because it changes the way coding works and UX functions in web development. Business success now demands web application transformation through artificial intelligence innovations because AI has become a development essential to remain competitive.

1. Automated Code Generation & Development

GitHub Copilot and ChatGPT-powered code assistants, together with AI automation, help developers complete their tasks of writing, debugging, and optimizing code at enhanced speed. These tools:

Suggest code snippets and auto-complete functions.

Reduce errors by detecting bugs in real-time.

Speed up the development process, cutting costs and saving time.

Assist non-programmers in creating applications using no-code/low-code platforms.

This automation allows developers to focus on creativity and problem-solving rather than repetitive coding tasks.

2. AI-Powered Chatbots & Virtual Assistants

AI-based chatbots have changed the way customers receive support through improved user experiences. These bots:

Provide instant, 24/7 assistance to users.

The NLP (Natural Language Processing) system enables understanding and processing of human speech.

The system delivers customized answers that adjust according to previous user actions and interactions.

Reduce operational costs by handling multiple queries simultaneously.

Businesses have started implementing AI chatbots within web applications to boost customer relationships and satisfaction, thus creating improved accessibility for their services.

3. Enhanced User Experience (UX) & Personalization

The analysis of AI-powered systems determines individual preferences, which allow developers to create customized website or application user experiences. It:

The platform records user navigation activities to suggest appropriate content.

The system modifies screen displays according to what users prefer to see.

Programs calculate individual requirements through data collection followed by system-generated instant recommendations.

Improves accessibility for differently abled users

For example, AI recommendation systems installed on online stores enhance customer conversions because they show products tailored to individual user preferences.

4. AI-Driven Cybersecurity & Threat Detection

AI plays an essential defense role for web applications because of increasing cyber threats. AI-powered security systems:

Real-time systems use AI elements to stop and stop cyberattacks.

System operators should detect unexpected login patterns which will automatically lead to unauthorized access prohibitions.

Automate security patches and updates

The system requires less human interaction, which leads to better efficiency in security measures.

Modern businesses attain better web application security through AI-powered cybersecurity solutions.

5. Automated Testing & Bug Fixing

The testing procedure benefits from AI tools through their automation system, which drives the following advantages:

Automatically detecting and fixing bugs

The testing of performance and security executes faster than standard human-driven procedures.

Reducing human errors and improving application stability

The testing process now finishes more rapidly, which enhances deployment velocity.

Web applications achieve reliability combined with security through AI-powered testing that operates under any condition.

6. Voice Search & AI-Powered SEO Optimization

Voice assistants Siri and Google Assistant, alongside Alexa, have created a need for optimizing search results through voice commands. AI helps web applications by:

The ability to recognize voice commands results in natural system interactions.

Improving website rankings by optimizing for voice-based queries

Enhancing search engine visibility using AI-driven keyword analysis

Automation of SEO optimization keeps the content updated according to search engine algorithms.

Web developers are now integrating AI-powered SEO strategies to ensure better search rankings and user engagement.

READ MORE- https://www.precisio.tech/how-ai-is-revolutionizing-web-application-development-in-2025/

[webtualglobal]

Microsoft Copilot Studio is poised to revolutionize low-code development by providing a more user-friendly and effective means of creating unique applications. This new tool, integrated within Microsoft 365, allows organizations to create powerful applications with minimal coding effort, making it easier for teams to streamline workflows and enhance productivity. The blog explores how Microsoft Copilot Studio is shaping the future of low-code development and how businesses can leverage its capabilities.

The blog begins by explaining the role of low-code development in simplifying app creation. Traditionally, developing custom applications required specialized coding knowledge, but low-code platforms like Copilot Studio allow users to create apps through a visual interface, using pre-built templates and drag-and-drop features. This lowers the barrier to entry for non-developers and accelerates the development process for experienced programmers. Microsoft Copilot Studio enhances the power of Microsoft 365 apps, giving businesses the tools they need to design and deploy custom solutions without extensive programming.

Next, the blog delves into how Microsoft Copilot Studio integrates with Microsoft 365. The tool is designed to work seamlessly within the Microsoft ecosystem, making it a natural choice for businesses already using Microsoft Office 365. By leveraging Copilot Studio, organizations can easily create apps that interact with other Microsoft 365 apps, such as Teams, SharePoint, and Outlook, offering a unified solution for managing tasks, automating workflows, and improving collaboration across teams.

The blog also highlights the role of Microsoft 365 consulting and Microsoft 365 migration in maximizing the potential of Copilot Studio. Businesses looking to integrate Copilot Studio into their existing workflows can benefit from the expertise of Microsoft 365 consultants. These consultants can assist with the migration process, ensuring a smooth transition from legacy systems to the Microsoft ecosystem while setting up the right tools for effective app development.

By leveraging the power of Microsoft 365 apps and the capabilities of Copilot Studio, businesses can build customized applications that meet their unique needs. The blog concludes by emphasizing the value of working with Microsoft 365 consultants to ensure businesses make the most of the tools available, improving overall efficiency and performance.

In summary, Microsoft Copilot Studio is changing how businesses develop custom apps, making the process faster, easier, and more accessible. With the right Microsoft 365 consulting and support, organizations can Attachment the full potential of this tool to drive productivity and streamline operations

[ebelal56-blog]

Vibe Coding: The Future of Programming

Learn about Vibe Coding, the future of programming that incorporates data mining, edge computing, data engineering, AI tools, and data wrangling techniques. Stay ahead of the game with this innovative approach to coding! "Vibe coding" refers to a new paradigm in software development where AI-assisted tools enable users to write, modify, or generate code based on natural language descriptions, broad intentions, or iterative feedback-rather than traditional syntax-heavy programming. This shift is turning more people into "developers" in the sense that they can create and manipulate software without deep expertise in coding. AI-powered coding assistants like GitHub Copilot, ChatGPT, and Replit Ghostwriter allow users to describe what they want in plain language, and the AI translates those instructions into functional code. This lowers the barrier to entry for non-programmers while also streamlining workflows for experienced developers, who can focus more on problem-solving and architecture rather than syntax and debugging. In essence, "vibe coding" is the transformation of programming into a more intuitive, conversational, and collaborative process-where describing the vibe of a solution is often enough to make it real.

[technicallylovingcomputer]

How Smart Contracts Power Digital Ownership in the Metaverse

In the rapidly evolving digital landscape, the metaverse is emerging as a groundbreaking frontier where digital ownership is being redefined. At the heart of this transformation are smart contracts—the powerful technological backbone that's revolutionizing how we perceive, trade, and interact with digital assets.

Understanding Digital Ownership in the Metaverse

Metaverse development is no longer just a buzzword—it's a fundamental reimagining of digital interactions. Smart contracts serve as the critical infrastructure that enables true digital ownership, providing transparency, security, and trust in virtual environments.

What Are Smart Contracts?

Think of smart contracts as self-executing digital agreements with the terms directly written into code. In the metaverse, they act as:

Transparent transaction mechanisms

Automated ownership verification systems

Immutable record-keeping tools

Decentralized trust platforms

The Pillars of Digital Ownership Through Smart Contracts

1. Verifiable Digital Assets

Smart contracts ensure that every digital asset in the metaverse has:

Provable authenticity

Transparent ownership history

Immutable ownership records

Secure transfer mechanisms

Real-World Example

Imagine purchasing a virtual land parcel in a metaverse platform. Smart contracts guarantee that:

The land's entire ownership history is traceable

Transfer of ownership is instantaneous and secure

Ownership rights are universally recognized

No central authority can dispute your ownership

2. NFT Empowerment

Non-Fungible Tokens (NFTs) have become the cornerstone of digital ownership in metaverse development. Smart contracts enable:

Unique asset creation

Programmable royalties

Transparent trading mechanisms

Complex ownership rules

3. Economic Ecosystems

Smart contracts create sophisticated economic models within metaverse environments:

Automated revenue sharing

Dynamic pricing mechanisms

Transparent transaction histories

Complex financial interactions

Technical Mechanics of Smart Contract Ownership

Blockchain Integration

Smart contracts leverage blockchain technology to ensure:

Decentralized verification

Tamper-proof records

Transparent transaction logs

Global accessibility

Security Mechanisms

Advanced smart contract designs incorporate:

Multi-signature approvals

Time-locked transfers

Conditional ownership rules

Comprehensive access controls

Challenges in Metaverse Ownership

While promising, smart contract-powered ownership faces challenges:

Complex regulatory landscapes

Technical complexity

Scalability limitations

User experience barriers

Overcoming Implementation Hurdles

Successful metaverse development requires:

User-friendly interfaces

Simplified technical processes

Robust security frameworks

Continuous innovation

Real-World Metaverse Ownership Scenarios

Virtual Real Estate

Platforms like Decentraland demonstrate how smart contracts enable:

Permanent land ownership

Transferable property rights

Verifiable asset histories

Complex land use agreements

Digital Collectibles

Smart contracts power entire ecosystems of:

Unique digital art

Collectible game assets

Tradable virtual items

Programmatic scarcity models

Future of Digital Ownership

Emerging trends in metaverse development suggest:

More complex ownership structures

Cross-platform asset portability

Enhanced interoperability

Advanced economic models

Technological Innovations

Anticipated developments include:

AI-powered smart contract management

More intuitive ownership interfaces

Enhanced cross-platform interactions

Dynamic asset valuation mechanisms

Ethical Considerations

As metaverse development progresses, critical ethical questions emerge:

Ensuring fair access to digital assets

Protecting user privacy

Preventing digital asset monopolization

Creating inclusive ownership models

Getting Started with Smart Contract Ownership

For developers and enthusiasts interested in metaverse development:

Learn blockchain fundamentals

Study smart contract programming

Explore existing metaverse platforms

Experiment with NFT creation

Understand ownership mechanisms

Conclusion

Smart contracts are not just a technological innovation—they're reshaping our understanding of ownership in digital spaces. By providing transparent, secure, and programmable mechanisms for asset management, they're building the foundation of the metaverse.

The future of digital ownership is here, and it's powered by the revolutionary potential of smart contracts.