#AI software developers

[thoughtfulcomputerinternet]

The Role of AI in Blockchain-Based NFT Marketplaces

Non-fungible tokens (NFTs) have revolutionized the digital asset space, creating opportunities for artists, gamers, and investors alike. As these marketplaces grow, the integration of artificial intelligence (AI) has become increasingly important for enhancing functionality, security, and user experience. For any forward-thinking Blockchain Software Development Company, implementing AI-driven solutions in NFT platforms can unlock significant value.

Enhancing NFT Marketplaces with AI

AI technology can enhance various aspects of blockchain-based NFT marketplaces, from personalized recommendations to fraud prevention. Here are key ways AI is making an impact:

1. Personalized Recommendations

AI algorithms analyze user behavior, preferences, and transaction history to deliver tailored NFT suggestions. By leveraging machine learning models, NFT platforms can improve engagement and conversion rates. Experienced AI software developers use these techniques to create intelligent recommendation engines that enhance user satisfaction.

2. Fraud Detection and Security

NFT marketplaces are prone to scams, counterfeit NFTs, and security vulnerabilities. AI can proactively identify suspicious activities, analyze transaction patterns, and flag potential risks. A reliable Blockchain Software Development Company integrates AI-driven security features to protect user assets and data.

3. Automated NFT Valuation

Determining the value of an NFT can be challenging. AI models analyze factors like creator reputation, past sales data, and social media trends to estimate asset worth. This helps both buyers and sellers make informed decisions within blockchain marketplaces.

4. Content Authentication and Copyright Protection

AI tools can analyze visual content to verify originality, ensuring that NFTs are not plagiarized. For instance, computer vision algorithms can detect image similarities, enabling AI software developers to create content authenticity solutions that reduce digital art theft.

5. Enhanced User Support

AI chatbots powered by natural language processing (NLP) provide real-time assistance to users navigating NFT platforms. This improves customer engagement while reducing operational costs for businesses in the blockchain sector.

Future Outlook

As NFT marketplaces continue to evolve, the collaboration between blockchain experts and AI specialists will become crucial. A trusted Blockchain Software Development Company can implement AI-based solutions that offer enhanced security, improved valuation models, and personalized user experiences.

For businesses aiming to stay competitive in the NFT space, partnering with experienced AI software developers can provide the innovation necessary to stand out. By combining the strengths of blockchain technology with AI capabilities, NFT platforms can deliver improved security, better insights, and engaging user interactions.

Embracing AI in blockchain-based NFT marketplaces is no longer just an option—it’s becoming essential for sustained growth and success.

[kpissolution]

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[aisoftwaredevelopers]

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[sreegs]

the past few years, every software developer that has extensive experience, and knows what they're talking about, has had pretty much the same opinion on LLM code assistants: they're OK for some tasks but generally shit. Having something that automates code writing is not new. Codegen before AI were scripts that generated code that you have to write for a task, but is so repetitive it's a genuine time saver to have a script do it.

this is largely the best that LLMs can do with code, but they're still not as good as a simple script because of the inherently unreliable nature of LLMs being a big honkin statistical model and not a purpose-built machine.

none of the senior devs that say this are out there shouting on the rooftops that LLMs are evil and they're going to replace us. because we've been through this concept so many times over many years. Automation does not eliminate coding jobs, it saves time to focus on other work.

the one thing I wish senior devs would warn newbies is that you should not rely on LLMs for anything substantial. you should definitely not use it as a learning tool. it will hinder you in the long run because you don't practice the eternally useful skill of "reading things and experimenting until you figure it out". You will never stop reading things and experimenting until you figure it out. Senior devs may have more institutional knowledge and better instincts but they still encounter things that are new to them and they trip through it like a newbie would. this is called "practice" and you need it to learn things

[nixcraft]

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.

[cyle]

I know you're on paternity leave so feel free to ignore this if you don't want to think about it, but has there been any progress on open-sourcing Tumblr's front-end? Inquiring minds would like to know

i hadn’t seen any progress on it before i left. there’s a strong willingness to do it, it’s just a big task to get it open-source-able in a sustainable way. a lot of our CI/CD processes rely on stuff that would need to be rebuilt from scratch, i think. totally doable, just not a priority.

but maybe there’s been progress since i left, i dunno! 🤞

[moose-mousse]

Remember

When you write utility tools that are not specific to your workplace enviroment and you might want to use them at the next place you work.

Then make sure there is no way to prove that your code was made at your work.

Don't check it into a remote git ( just write git init and do it locally). Don't let Onedrive see it.

And then just move it back and fourth to update versions with a flash drive.

Remember.

It is not just ok to steal from your workplace, it is the ethical choice.

Think of it as "wealth distribution towards equality"

Or "Eat the rich"

Or "copyright is only a thing for your corperate masters. Your copyright is called "you are training data""

[mentalisttraceur-software]

DeepSeek R1 First Impressions

DeepSeek R1 is almost as good as me at belabored exhaustive analysis and application of C89 rules. For practical purposes, it's equally good.

I asked: "How would you implement zig-zag encoding in strictly portable C89?" It was spitting out thinking output for at least a minute, but it got a basically-perfect solution on first try:

unsigned int zigzag_encode(int n) { return (((unsigned int)n << 1) ^ ((n < 0) ? -1 : 0); }

It also provided a `zigzag_encode_long`.

Note that this code will optimize on modern C compilers to the best assembly you could write. There is no branch in the produced code with even just `-O1` (`clang`, `gcc`), the branch is how we portably tell the compiler the right idea.

The only thing DeepSeek did "wrong" vs the above, was redundantly add an `(unsigned int)` cast to the `-1`. I mentioned this as I would to a person: that the usual arithmetic conversions would take care of it at the `^`. It reasoned the rest on its own: yes, because the left operand is already at least an unsigned int, so integer promotion will make the left side an unsigned int as well.

We talked at length about how we can prove that the above is portable to the most pathological C89-conformant implementations. It kept taking longer to "think", but it didn't show any weakness until the very last question.

I asked it to help me rigorously prove if the maximum value of unsigned integers is required by the C standard to be a Mersenne number (2^n-1). To have all bits one, that is.

What if an implementation just decided to arbitrarily not use one or more of the top values? I.e., why not `#define UINT_MAX 0xFFFFFFFE`?

DeepSeek R1 didn't seem to conceive of this possibility until I made it explicit. (But it did a great job of ruling out all others.)

Finally, it gave a longer, non-trivial argument, which I don't find convincing. Basically, it seemed to be saying that since integers used "pure binary representation", and every value bit could be either one or zero, well then the maximum value always has all value bits one - in other words, it seemingly assumed that just because each value bit individually was allowed to be one or zero, the possibility of them all being one at once must be both legal and used to represent a distinct value.

I see a shorter argument, which follows directly from what the standard does say: C89 has two definitions of `~`:

flip all the bits;

subtract from maximum value of that unsigned integer type.

The only way both can be true at once is if the maximum value is all value bits one. DeepSeek R1 agreed.

So what does this all mean?

This is an insane level of competence in an extremely niche field. Less than a year ago I tested LLAMA on this, and LLAMA and I didn't even get past me hand-holding it through several portability caveats. DeepSeek R1 and I just had a full-blown conversation that most devs I've talked to couldn't have with me. DeepSeek R1 managed to help me think in an extremely niche area where I'm basically a world-class expert (since the area in question is C89 portability, "world-class expert" is derogatory, but still).

If it's this good in one domain, it's this good in most domains. I bet it can do comparably well in Python, Go, JavaScript, C++, and so on.

In other words, it's already better than many devs in areas like this. I've seen plenty of devs making 6-figure USD salaries who didn't bother to know any of their day job tech stack this deeply. There's a market adjustment coming. Knowledge and expertise are about to become dirt-cheap commodities.

AI will eat current software dev jobs even faster than even I thought - and I already thought it would be sooner than most expect. Meanwhile, much of the industry is busy rationalizing from human intuition and ignorance that it just can't happen.

For years I've thought that the future is human devs delegating to teams of AI. That future is almost upon us, and this AI is good enough that I will be seriously experimenting with making that future a reality. I think if you hack together the right script to hook it up to a sandbox with dev tools, and prompt it just right... you might already be able to get this thing to actually do useful dev work.

[magebird]

Sometimes I feel like the discourse about AI art misses the actual point of why it’s not a good tool to use.

“AI art isn’t ‘real’ art.” —> opinion-based, echoes the same false commentary about digital art in general, just ends up in a ���if you can’t make your own store-bought is fine’ conversation, implies that if art isn’t done a certain way it lacks some moral/ethical value, relies on the emotional component of what art is considered “real” or not which is wildly subjective

“AI art steals from existing artists without credit.” —> fact-based, highlights the actual damage of the tool, isn’t relying on an emotional plea, can actually lead to legally stopping overuse of AI tools and/or the development of AI tools that don’t have this problem, doesn’t get bogged down in the ‘but what if they caaaaan’t make art some other way’ argument

Like I get that people who don’t give a shit about plagiarism aren’t going to be swayed, but they weren’t going to be swayed by the first argument either. And the argument of “oh well AI art can’t do hands/isn’t as good/can’t do this thing I have decided indicates True Human Creativity” will eventually erode since… the AI tools are getting better and will be able to emulate that in time. It just gets me annoyed when the argument is trying to base itself on “oh this isn’t GOOD art” when AI does produce interesting and appealing images and the argument worth having is much more about the intrinsic value of artists than the perceived value of the works that are produced.

[smak-annihilation]

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

[southside-solutions-llc]

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[datamodel-of-disaster]

A Cryptobro update.

He has gotten the idea to build an app, and a website. He's using AI to do it, for the most part. He can't code, or even do HTML; he's just using AI, and picking stuff up while troubleshooting the AI results. He's very proud of how nice the website looks already, and claims he's already learned so much just by watching the AI do things. And you know, I am willing to believe that he *is* learning things. Not cohesive things, as in, he's not building a skill, but he's definitely being exposed to a lot of concepts and info, and I'm sure it's a learning experience, of a kind. The man is an idiot but he's not unintelligent.

That said.

I asked him… so, this app, what is it going to do? What will it be? What's your use case, your business model?

…

READERS, THE MAN DOESN'T KNOW.

He's the quintessential "idea guy" and… he doesn't even have any ideas. He goes all "eh, the app could do anything, I can make anything!" and then he… doesn't actually have any examples of what that "anything" could possibly entail.

Of course, I'm not putting aside the possibility that he's pretending to not have a plan in order to "protect" his big idea until it's ready for launch. Absolutely not putting it past him.

But…

Bro. BRO.

What The Actual Fuck.

Every person I've ever known who was serious about developing an app or writing software or starting a small shop or business… has *loved* talking about their plans. Not counting big companies with NDA's and certain high competition fields, most individual humans who are creating a thing are passionate about that thing, and enthused to share its story. What is it? What does it do? Why is it valuable or useful? What made you want to make this?

…

But apparently, Cryptobro's big plan doesn't have a story, doesn't have a use case, doesn't have a target audience. It's all just… filler. And he talks a great deal about how the product is more important than the process, and having the idea is all you need in a world where AI can do anything, but… he doesn't even have an idea? He doesn't have a product concept that anyone would want?

The only thing he aims to do is make a thing -any thing, whatever thing- and monetize it, with as little investment on his end as possible. Nothing more.

…

I've known this man for half a year now and I… I still can't wrap my head around his existence. He's like a living caricature. Whenever I think I've seen the worst of it, it's like… "But wait! There's MORE!" It's baffling.

[dulafer]

AI App for head/face swapping?

Can anyone recommend an App for head and face swapping? Been using FaceApp and Vidnoz with mixed results. Is there one that uses AI?

[sstechsystemofficial]

Trusted outsource software development teams - SSTech System

Outsource software development is the practice of relinquishing software-related duties to outside singularities or organizations. Outsourcing is used by firms to acquire software services and products from outside firms that do not have direct employees or employees under contract to the business entity that is outsourcing.

Infect, the outsourcing market worldwide is projected to grow by 8.28% (2025-2029) resulting in a market volume of US$812.70bn in 2029. This model is highly versatile and suits businesses of all sizes.

Start-ups often use outsourcing to develop MVPs quickly, while established companies might seek custom software development services or AI outsourcing services to address complex challenges. Outsourcing can include working with offshore development teams, global software development partners, or local experts like Australian software development experts for specific projects.

The benefits of outsourcing software development

Outsourcing has become a cornerstone for modern businesses due to its numerous advantages. Here’s a closer look at the key benefits:

1. Cost efficiency

Perhaps the biggest incentive for sourcing solutions from outsourcing service providers is the cost cutting factor. For instance, offshore software development in India provides expertise services at comparatively lower cost than that of in-house developed services in Western countries. This efficiency enable the enactments of cost savings in some other strategic sectors of the organization.

2. Access to global talent

Outsourcing can help to discover the wealth of new talents as well as the skills of professionals from other countries. No matter Whether it’s AI and machine learning integration, web application development in Australia, or outsourced healthcare software development, businesses can find experts in virtually any domain.

3. Scalability and flexibility

Outsourcing offers flexibility that is unparalleled in many organizations today. This is because; firms are able to expand and contract particular teams depending on the specific demand in projects. For example, outsourced IT solutions help business organizations prepare for different conditions while not having to employ permanent workers.

4. Faster time-to-market

With reliable software development teams in Australia or offshore development teams in India, businesses can speed up their project timelines. This helps innovations to make it through to the market early enough, which is useful for companies.

5. Focus on core activities

By delegating tasks like software maintenance and support or cloud software development in Australia to outsourcing partners, businesses can focus on their core competencies and strategic goals.

6. Reduced risk

In-house staff and trained outsourcing partners come with best practices, methods and procedures which when implemented reduce the chances of project hitch. Working with the top-rated IT outsourcing companies in Australia gives you confidence that your project is in safe hands.

Choosing the right outsourced software development partner

In the period from 2023 to 2027, the revenue of software outsourcing is forecasted to thrive at a CAGR of 7.54%. So, outsourcing partner selection is one of the most vital components since it determines the success of a given venture. Here are essential factors to consider:

1. Technical expertise

Check the partner’s competency and his knowledge of the field.  For instance, SSTech System Outsourcing offers comprehensive solutions, from AI development services in India to mobile app development outsourcing in Australia.

2. Proven track record

Look for partners with a strong portfolio and positive client testimonials. A proven track record in delivering custom software development services or managing outsourcing software development contracts is a good indicator of reliability.

3. Effective communication

Effective and open communication is extremely important if the project is to be successful. Work with people who give frequent reports and employ efficient media to overcome the differences in time areas.

4. Cultural compatibility

There has to be a cultural match or at least appreciation for each other’s customs for there to be harmony in the working relationship. As such, staffed with proficient Australia software development experts or offshore development teams, whose experience is to work on global markets can coordinate and blend well with your work culture.

5. Security and compliance

You have to make sure that your partner complies with the standards and the policies that are in the industry. This is especially substantial for all information-sensitive projects such as outsourced healthcare software development or cloud software development in Australia.

6. Scalable infrastructure

Choose a partner capable of scaling their resources and infrastructure to meet your project’s evolving needs. This is crucial for long-term collaborations, especially with global software development partners.

AI-powered tools for outsourced development teams

According to a report from the US Bureau of Labor Statistics, software development ranks among the most sought-after professions. Hence, AI is at the forefront of reshaping the outsourcing industry. Therefore, the implementation of artificial intelligence will add value to business processes, make workflow easier, and boost the results of projects. Here are some examples:

1. Automated code reviews

Tools like DeepCode and SonarQube assist outsourced teams in detecting whether errors reside in the code line or not, and whether code needs to be enriched or not. This is particularly accurate concerning AI outsourcing and in-house development industries.

2. Predictive analytics

Automated analytics tools can predict such things as the time it will take to complete the project, how much money it will cost, and what risks are possible in a software development outsourcing scenario.

3. Smart project management

Tools and platforms such as Jira and Monday.com, when empowered with AI, allow the coordination of tasks and the tracking of progress and resource allocation.

4. AI collaboration tools

Communication and collaboration with internal members and offshore software development Australia partners get facilitated through applications that include, Slack, Microsoft Teams, and zoom with integrated AI functions.

5. Natural Language Processing (NLP)

AI-powered chatbots and virtual assistants simplify communication and issue resolution, making them valuable for managing outsourced IT solutions.

Best practices for managing outsourced development teams

Outsourced teams should be mandated and coordinated following a number of recommendations to ensure the efficiency of the entirety of the outsourcing process.

Here are the best practices to ensure your project’s success:

1. Set clear objectives

Make it clear to your project team, stakeholders, and other relevant parties what the parameters of the project are, what it is that you expect out of it, and what you expect to get from it in return. This fostaines consistency between your team and the outsourcing partner to increase efficiency in service delivery.

2. Choose the right tools

Use project tracking and collaboration software approaches to track and evaluate progress and meet regular informality and collaboration targets.

3. Foster a collaborative environment

It is worthy of note that constant communication is key to ensuring that your outsourcing team is on the same page with you. Fresh produce and feedback mechanisms need to be provided in order for there to be trust as is needed in project management.

4. Draft comprehensive contracts

There should be a comprehensive outsourcing software development contract. It should address issues to do with confidentiality, ownership of ideas and concepts, plea structure and mode of handling disputes.

5. Focus on long-term relationships

Building a long-term partnership with trusted providers like SSTech System Solutions can lead to consistent quality and better project outcomes.

Conclusion

To keep up with technology, outsourcing software development offers businesses solutions and support that can enable the creation of complex solutions out of mere ideas. Outsourcing has the benefits of minute overhead cost and is also a rich source of globally talented employees, and it offers the advantage of early time to market. Whether you’re looking for mobile app development outsourcing in Australia or seeking offshore software development in India or opting for AI outsourcing services, the potential is huge.

Such companies can only benefit from opting for reliable outsourcing companies such as SSTech System Outsourcing and embracing industry best practices to promote the success of business project implementations while enhancing market relevance. As technologies like AI and cloud computing are still changing the face of the outsourcing market, software development outsourcing will still be important for any company that wants to survive in a digital world.

Take the first step today—partner with global software development partners and unlock the full potential of your ideas with the power of outsourcing.

[munaeem]

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…