The technological transformation sweeping the digital world is increasingly associated with the integration of artificial intelligence (AI) into everyday processes. This is especially evident in the field of software development. In the past, code was written manually, line by line, relying solely on personal knowledge and experience. Today, the situation is changing rapidly: ChatGPT by OpenAI and GitHub Copilot have become not just auxiliary tools — they have evolved into full-fledged development partners.
For developers in Portugal and other countries actively involved in the digital economy, AI opens up new horizons. And we’re talking not only about programming for banking systems, mobile apps, or IoT solutions. More and more startups and large companies are turning their attention to industries that were once considered niche — for example, the online entertainment market.
Intelligent algorithms powering modern gaming platforms, including Casinos e Apostas Online, are already being developed using code generated with the help of Copilot or ChatGPT. These platforms must take into account numerous factors — from UX and security to user behavior analytics — and AI handles all this with impressive precision.
ChatGPT and Copilot: How It Works in Practice
GitHub Copilot, built on OpenAI’s Codex model, has become a real breakthrough in code automation. It integrates into familiar development environments (such as Visual Studio Code) and suggests code snippets, entire functions, and even architectural solutions based on the lines being written. A developer starts writing a comment or part of a structure — Copilot picks it up and offers a logical continuation, often reflecting best practices.
ChatGPT works a bit differently. It doesn’t embed into the editor but is capable of interacting with the programmer in dialogue format. The user describes a task in natural language, and the model generates code, offers architectural solutions, and explains algorithms. ChatGPT is useful both at the design stage and during debugging or refactoring. It’s especially valuable for beginner developers or those dealing with unfamiliar technologies.
For instance, a web app developer working on an entertainment platform can ask ChatGPT to generate a Python backend with an authorization system. Or they may ask how to handle cryptocurrency transactions correctly — and receive not only a code example but also an explanation of the security risks involved. This approach reduces training time, lowers the chance of errors, and allows the developer to focus on the product logic rather than syntax.
The Impact of AI on the Developer’s Role
With the arrival of intelligent assistants, the profession of programmer has begun to shift. If previously the developer was associated solely with technical implementation — “writing code” — now their role increasingly involves setting tasks, testing hypotheses, and evaluating AI-suggested solutions.
Of course, machine intelligence cannot yet fully replace a human. It handles routine tasks well and can suggest elegant solutions, but still requires review, especially in non-standard situations. However, it is already clear that a developer proficient in AI tools becomes significantly more productive.
Moreover, the use of such tools is making development more accessible. For example, specialists in Portugal who lack formal training but want to enter the field — whether it’s for web apps or interactive systems for digital entertainment — now have the opportunity to create functional projects with minimal learning costs.
Business Potential: Accelerating Time to Market
For startups and companies, this means not only saving time and money but also gaining agility. The ability to quickly test an idea, build an MVP with minimal investment, and assess market response is a key factor in a competitive environment. This is especially relevant in high-stakes markets like mobile gaming, online betting, and real-money casino platforms, where time-to-market and implementation quality can make all the difference.
Using ChatGPT or Copilot not only speeds up the coding process but shifts the entire work model: from the traditional “order – develop – test” to a more flexible and interactive “task – co-creation – result” approach. This is especially important for remote teams, where communication is limited, and high autonomy is required from each team member.
Challenges and Limitations
Despite their enormous potential, AI technologies in software development are not without flaws. First, they are trained on massive datasets, including public GitHub repositories. This can lead to the generation of code that contains vulnerabilities or inefficient solutions — particularly if the developer blindly relies on the suggested fragments.
Second, there are still open questions about responsibility and authorship. Who is accountable for a bug in code generated by Copilot? Who is the true author of a unique solution if it was proposed by AI but adapted by the programmer? These questions still require regulatory clarity, especially in EU countries like Portugal, where increasing attention is paid to copyright protection and the ethics of using AI.
What’s Next?
AI has already become part of daily reality for thousands of developers. ChatGPT and Copilot don’t replace humans, but they significantly enhance their capabilities. Rather than fearing the “end of the profession,” developers are adapting — becoming curators and architects, where the key task is to ask the right questions and assess the solutions received.
In the coming years, AI tools are expected to integrate even more deeply into IDEs, DevOps systems, and QA processes. We may soon see platforms where entire codebases are generated through dialogue with AI — from architecture to final build. And for businesses operating in fast-moving digital niches — whether fintech, eCommerce, or entertainment portals with gamified elements — this will mean even greater speed, lower costs, and higher competitiveness.
Conclusion
Artificial intelligence in programming is no longer science fiction — it’s the new normal. ChatGPT and Copilot are changing the rules of the game, helping create code faster, more efficiently, and at lower cost. Their impact is felt not only in traditional IT but also in adjacent sectors of digital entertainment. It is important not just to use these tools but to understand how to build new approaches to digital product creation with their help.