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Software Developer, Api Developer, Back End Developer, Apps Developer

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Ricardo Ribeiro - Junior Software Developer - Ifthen Software, Lda. | LinkedIn

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I have has 3 professional internships, 2 in Ifthen Software and another one in Creative Systems. I have 2 courses, one level 4 (Technical Management and Programming of Information Systems) and another one of level 5 ( Technical Expert in Technologies and Programming of Information Systems) | Learn m…

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Ricardo Ribeiro (@ricardoribeiro1998) • Instagram photos and videos

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461 Followers, 407 Following, 15 Posts - See Instagram photos and videos from Ricardo Ribeiro (@ricardoribeiro1998)

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Extroverted - I agree, I am a very sociable person who is not afraid of public speaking and making new contacts.
Obvservant - I think it should lean even more towards observant, because I only live in the present, as Vin Diesel said, "I live my life a quarter mile at a time".
Feeling - I think it would lean more towards thinking but not more than 60%.
Judging - I agree 100%, a practical example is in college work, I tend to mark daily goals to have a focus, so I avoid procrastination.
Assertive - I totally agree, I think I can handle pressure and stress.

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Documentos para contabilidade post feed para instagram

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Documentos para contabilidade post feed para instagram (1)

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Taxa de Inflação (Taxa de Variação do Índice de Preços no Consumidor): total e por consumo individual por objetivo

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Consulte os nossos dados e conheça a evolução da inflação em Portugal ao longo dos últimos anos. Conheça a taxa de inflação total e por bens e serviços.

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Why Developers Need To Always Be Learning

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Why Developers Need To Always Be Learning

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Because we need to be addicted to finding better ways to do things.

Photo credit to Cristian Buehner of Unsplash

"Everyone wants to be a legend until it comes to do the work that legends do."

There are a lot of reasons why you have to continuously grind, hustling even after all the success. Did you get your first job? Good. Second? Nice. You finally got that dream job? Cool. Did you get promoted? Good Job. You are now finally a Senior Developer? Salute. So, what now?

For most developers, learning new technologies is so powerful, our job is to continuously push the human race forward by making technology be the best it can, there is no finish line, there is no end because technology is the infinity itself, and you as a user, as a contributor will have a choice, to go along or get drag.

Almost every month a new technology is born, every week or even days, your tools and languages get updated, and keeping up is part of the job.

Change is the only constant thing in the world, and that is why our field in technology will continue to be profitable, will continue to push the world forward, on a remarkable speed that will constantly remind us for all the possibility the human can do, it is endless, everything is possible we just haven't figured out that level of consciousness yet.

So when opportunity knocks you are ready.

"We're here to put a dent in the universe, otherwise, why else even be here?" - Steve Jobs

In the world of technology, everything changes in just a blink of an eye, and we as a developer know this better than anyone, the languages that we are using today will eventually become obsolete in just a few years. Learning new technologies is not something you can do whenever you feel like it, it is part of the job, and the moment you chose to become a developer you should have been ready to fly.

The only way is always to move forward, and you can't go anywhere if you don't know anything, or else, you'll get left behind. Be ready to keep up with all the growth and changes, but the goal should be to always be one step ahead.

Every field requires evolution and learning, no matter what venture you choose, you have to constantly grow, improving, and I hope you aspire to be the best developer you can be because that is what you are meant to be.

Moving forward.
As the world is changing especially of all that has happened this year, crazy thing is that we are still halfway to go, everything is vague, everything is unpredictable, there will be a lot of things that will happen and are just yet to come, but one thing is certain, the demand for developers is increasing at the highest speed.

Based on the conducted study, majority of the developers who strive to learn and improve every day simply because they want to accelerate their career goals and to find better opportunities in the future, and career goal doesn't always indicate higher salaries and benefits, some define their goal as transitioning from working on an office-based into full time freelancing, and some simply wanted to work on a startup.

Some companies have their preferred languages, including big companies which simply means that some languages are worth more than the others, and some technologies are loved by many other companies compared to other languages which mean that some technologies hold better opportunities than others.

You need to be better at structuring your stack, position it in a way that you will be profitable in the future and ensures better job opportunities, so while you are working on your current job and daydreaming on your dream company, start learning the requirements they needed during your free time or even if it is just 2-3hrs a day every day could take you further than the rest, and taking you closer to your dreams, it is a matter of asking yourself of how badly do you want it, bleed now and enjoy later.

I don't know about you but I am craving for knowledge a little more each day. Your brain will continue to grow throughout your life, push it and it will expand, flex it and it'll extend.
Learning new technologies doesn't just help developers to learn new skills, to gain more knowledge that they can use as an edge for future opportunities, but it will also help developers to understand deeply some of the aspects of languages they have been using for years that they hadn't realized yet, another benefit of continuous learning is that it will also expand one's mind, open new ways of thinking, new ways of solving problems, learning new techniques in approaching situations, and gaining different perspectives and understanding on things.

Today, the world, especially in the world of technology, everything competes, everyone is under pressure, the businesses are making sure they are up top, and to do that they will make sure that everyone in the team is upbeat, sharp, smart, wise and better than everyone else and if you are working on the company of your dream, then stay active, stay sharp, and always make sure that you are one step ahead, because eventually your company will continue to progress, to adapt the latest trend, the latest technology, better be ready than sorry.

An infinite loop.
This could mean a lot of things, some experienced developers have become so addicted when it comes to learning new technologies, exploring new ways of handling things, exploring new technologies simply because they are curious or sometimes bored, that it becomes a habit until it becomes impossible for them not to.

Why did you become a developer? Is it money, job stability, time, or is it because you dream of a better future, a better world? If you have learned and use several technologies, tools, and languages, you should be very proud, and just in case you are not aware, technology is so much powerful than you thought, you can change the world with just an application, Facebook didn't exist 10 years ago, we can't even imagine Instagram, nor YouTube, and yet it came and change our lives forever.

Not everyone would probably agree, but, I do hope you aspire to become a developer who intends to make the world a better place even on the simplest of things, in your little way.

Using technology to create apps that could help our nature, that could help improve human health, human behaviors, applications that could help those who are in trouble, applications that help to make the world a safe place, or even applications that will teach the younger generations, your creativity is the limit, choose to become a good developer every day.

It is the nature's call, a cycle of life, to give back to the world everything you have learned.
It doesn't matter if you have been in the industry for quite some time or not if there is something you can teach then teach the new ones if they are having some trouble try and help them if you have to.

You don't have to be the best to teach, you don't have to be a senior developer to guide the new ones, you simply need to have a good heart, compassion, and the urge to help everyone who needed it, because our job is not an individual sport, it will need everyone's help in the team, it will take as many hands as it can, for us to successfully build the application, act like a Senior Developer you wished you had, or a Senior Developer you wish to become because eventually, you will.

You gotta love yourself before you can lift the world. 😊

Thank you for reading! Follow me for more Self-Taught Developer inspiration and learning.

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Why Developers Need To Always Be Learning

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"Everyone wants to be a legend until it comes to do the work that legends do." There are a lot of reasons why you have to continuously grind, hustling even after all the success. Did you get your first job? Good. Second? Nice. You finally got that dream job? Cool.

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By

Increasingly, companies turn to artificial intelligence to accelerate software delivery. But the growing popularity of AI-based development tools raises concerns about security, accuracy and implications for tech workers.

Large language models ( LLMs) such as GPT-4 can suggest code snippets, answer technical questions and even write portions of simple applications. Mike Gualtieri, vice president and principal analyst at Forrester Research, expects AI tools to have a "huge impact" on software development: "I think it's conservative to say that this will make a developer twice as productive, if not more," he said.

Those productivity gains could mean large-scale changes in the tech sector. As AI becomes more widespread, however, tech leaders question how to safely integrate it into software development -- and workers are concerned about the quality of AI-generated code, as well as what AI means for their jobs.

AI in software development is an evolution, not a revolution

Despite widespread hype around ChatGPT and other highly publicized models, AI in software development isn't as groundbreaking as it might initially seem. AI has existed in development and IT workflows for some time, albeit mostly in the form of simple code completion and automations.

Although AI can now generate full code snippets, even that capability isn't so different from familiar manual processes. Instead of wading through Stack Overflow answers for relevant code, developers can now get targeted suggestions directly in their integrated development environments (IDEs). "The key change is now it's universal and more accessible," Gualtieri said.

Recent AI advancements are best understood as enhancing an existing development paradigm. "It's suddenly becoming possible for some of these tools to start influencing the way programmers work," said B.C. Holmes, chief technologist at software development company Intelliware. "It's more a change in our awareness than it is about the actual underlying technology."

Holmes worked on AI systems in the finance industry more than 20 years ago, for example, although the term AI wasn't used at the time. Similarly, Frank Huerta, CEO of security software company Curtail, noted that some security tools hyped as AI use pattern matching techniques similar to methods long used in threat monitoring and attack detection.

But still, experts agree that recent advances in AI and rapidly rising adoption indicate a turning point. Even if the underlying technology itself isn't entirely new, AI's capabilities and scale of use are growing at a transformative rate. "Things are going to change in a very, very large way over the next decade," Holmes said.

The benefits and risks of AI-generated code

The most promising areas for AI in software development include planning and exploratory work, accelerating automation of routine tasks, and writing boilerplate code.

Although LLMs' ability to generate functional code is limited, they're powerful tools for answering high-level but specific technical questions. For example, ChatGPT could explain how to connect to an AWS service using Java or Python and provide sample code, Holmes said.

Much of day-to-day IT and development work involves tasks such as making API calls or moving data between objects. Automating those actions with AI frees up tech professionals to focus on more intricate, creative projects that require human insight. Combined with the emerging discipline of platform engineering, this could help relieve overloaded DevOps teams that are managing sprawling, complex IT environments.

Ravi Parikh, co-founder and CEO of developer platform startup Airplane, sees AI playing an important role in advancing developer tools. Integrating a tool such as GitHub Copilot into an existing developer platform's automation workflow, for example, could further increase productivity.

But although AI development tools are increasingly good, they're not perfect. When experimenting with AI-assisted software development, "one risk is that it generates bad code, just like a person generates bad code," Gualtieri said.

This includes security risks. Code generation and recommendation tools reflect the security vulnerabilities and misconfigurations of the code used as training data. Likewise, security and privacy concerns have arisen around the sources and sensitivity of the data used to train and refine AI systems.

To mitigate these risks, enterprises need to treat AI-generated code the same way they would -- or should -- treat its human-written counterpart. That means applying the same security and governance policies across the board, whether code comes from a human being or an AI model.

Code that doesn't contain security vulnerabilities can be flawed in other ways. Models don't always generate code that does what the user requested. And even if the code produced technically works, it might not be particularly concise or efficient.

Using AI-generated code is especially risky if users can't validate it, whether because they don't have sufficient technical knowledge or because a tool discourages users from checking its output. "Even if it gets it right nine times out of 10," Parikh said, "if one time out of 10 you're shipping bugs in your code, that's pretty bad."

Another risk is related to copyright and intellectual property. Although some tools, such as the AI coding assistant Tabnine, take steps to ensure code used in training data has a permissive license, the same isn't true for all AI, including popular LLMs trained on enormous data sets.

The models underlying ChatGPT, for example, were trained on a massive corpus of data scraped from the internet, including text from books and articles. If that data contains proprietary algorithms that are reproduced in ChatGPT's output, it could raise intellectual property issues, Huerta said: "What if you generate something you just think is your own, and all of a sudden now you're treading on somebody else's patent?"

Typically, patent disputes between people or enterprises are resolved through legal mechanisms, he said. But it's not clear what the resolution process would be for disputes arising from code generated by tools such as GitHub Copilot and ChatGPT.

Customizability is key to the success of future AI tools

AI intended specifically for software development looks more promising than LLMs when it comes to actually writing code.

GitHub Copilot has emerged as an early front-runner thanks to its access to GitHub's massive data set and integration with the popular IDE Visual Studio Code. Parikh attributed Copilot's popularity in part to its transparency and flexibility, which leave users in control of whether to actually implement suggestions.

Other popular AI development tools have a similar structure: They provide suggestions, but users still ultimately decide what to implement. Similar to GitHub Copilot, Tabnine provides optional inline code suggestions as developers type. Likewise, IBM's Project Wisdom automatically constructs Ansible playbooks based on natural language requests, but developers can review and modify the results.

This customizability is essential in future AI tools, experts said. In particular, AI development tools need to work with existing enterprise systems -- an area where current capabilities fall short.

"Most organizations have systems that are decades old, and they're all different, and they're weird, and they're unique to each organization," Holmes said. "And to build systems, you need to actually figure out what's there and how to connect to it and attach things together."

Gualtieri sees a category of AI system known as a derived model as particularly promising in this area. Foundation models such as OpenAI's GPT-3 and Google's Palm are large, flexible systems trained on broad data sets that users can adapt to specialized use cases. Future AI-assisted developer tools could let an enterprise feed its codebase to a foundation model to build a customized derived model.

"That model is going to be more focused on their enterprise and therefore generate code that's more akin to their existing architecture," Gualtieri said.

Parikh foresees a somewhat similar application in the developer tool space: reducing the learning curve for new platforms and tools by creating custom assistants. In internal prototypes at Airplane, he said, the company has experimented with training AI models on its documentation to create a "semi-intelligent agent" fine-tuned to Airplane's software. This type of specialized chatbot could help users quickly pick up new tools without having to trawl through documentation or reach out for support.

Will AI replace software developers?

AI won't replace software developers anytime soon, due in part to its risks and technical limitations. But humans also simply have different capabilities than AI -- and that's something to view as an asset.

Our brains still do things a little bit differently than how computers do it. That needs to be an advantage and not get displaced.

Frank HuertaCEO, Curtail

As an example, Huerta described his difficulty replicating the human process of object recognition while working on an autonomous vehicle for an early Defense Advanced Research Projects Agency Grand Challenge. "It's similar with the AI approach to writing things," he said. "Our brains still do things a little bit differently than how computers do it. That needs to be an advantage and not get displaced."

Human empathy and communication are also essential to IT and development. "There's a whole people element to the IT job, which probably isn't going to change dramatically," Holmes said. "There's a lot of listening to people, understanding what it is that they need, making sense of the complex environment that we have today."

Rather than replace developers and IT staff, AI will more likely assist them. "I don't yet think that AI is good enough where it's going to replace a software developer if you yourself don't know how to write code," Parikh said. "I think the tool is at its best when it's not substituting for your intelligence ... but substituting for your lack of knowledge."

AI could help mitigate the skills gap in tech

Demand for IT professionals has historically been high, and despite recent layoffs at high-profile companies, there's still a skills gap in the tech sector. Thus, it's unlikely that AI will completely displace human workers -- in fact, AI-assisted software development could be necessary just to address the existing talent shortage.

Demand for IT skills -- including software development expertise -- remains high, according to 2022 data from analyst firm Gartner.

"There aren't enough people out there to handle the jobs," Huerta said. "There aren't enough developers, there aren't enough IT people, there really aren't enough security people. ... So, AI can help as a useful tool to help bridge some of those gaps."

At many organizations, this could mean unlocking greater productivity with existing teams rather than downsizing. Enterprises with large IT budgets "often have an internal user base that feels like they're not getting what they want for that budget," Holmes said. At the other end of the spectrum, she said, AI could be a boon for small businesses for which advanced IT has been financially out of reach.

In such scenarios, AI could speed up internal IT delivery and assist with projects that haven't been feasible due to staffing shortages or budget limitations. "It doesn't have to be, 'I can do what I'm currently doing today with half the people,'" Holmes said. "I think you should say, 'I could keep this same number of people and get more accomplished.' I think that's the better -- and actually probably more business-savvy -- approach."

AI coding tools could also lower the barriers to entry for software development. Just as accountants no longer need to know how to do long division by hand, certain programming skills that have so far been fundamental to coding jobs might become less important as tooling advances.

But combined with the recent downturn in the tech sector, this could mean a drop in average wages. Tech companies have historically paid notoriously high salaries, even for entry-level developer jobs. Especially in a tougher economy, widespread AI adoption could change that.

"It's probably going to actually help raise people up who haven't had the same opportunity or experience, and it's going to deflate a lot of salaries," Gualtieri said.

Holmes also pointed out that, historically, automation in one industry has led to much deeper economic changes. Consequently, it's important to look at greater automation in software development in a broader context that goes beyond the tech sector.

"Trying to address that is a much broader social, society-wide conversation," she said. "What does it mean? What is our perception of the nature of work in a future of extensive automation? I don't think I could solve that problem. But ... you have to solve it at that level, I think."

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