Czy da się zatrudnić Claude AI jako samodzielnego programistę  (1)

Can Claude AI Be Your Programmer?

This employee will perform all repetitive tasks for you and, at lightning speed, without any breaks, finalize the concept as well as the initial stages of a technological project. Sounds familiar?

Using AI has become a habit for entrepreneurs — from popular conversational assistants (ChatGPT, Gemini) to advanced agents built into their supported ERP, WMS, CRM, and other systems. According to the latest No Fluff Jobs report, "AI in the IT Job Market," as many as 68% of IT professionals use generative solutions every single day.

At the same time, the role of artificial intelligence has long surpassed passive advising in copywriting, content marketing, or basic IT. For several months now, AI has been becoming an active agent capable of performing tasks on a computer. Anthropic remains a pioneer in this area, developing its Claude model to achieve the greatest possible autonomy.

Claude Can Control Your Computer

Claude is an autonomous AI agent that can step outside the browser window, reach for the mouse and keyboard, and actually make changes in your separate applications. Using a feature called "computer use", Claude views a screenshot of the computer and interprets it. Then the magic happens: opening applications, clicking through various functions, and executing commands. Moreover, API integration is not even necessary, which provides a massive advantage when working with accounting systems or official government portals.

This functionality can be utilized in programming. Claude Code then becomes an advanced "pair programming" partner, helping, among other things, with unit code creation and refactoring. Thus, it can significantly accelerate programming right from the concept stage. It almost instantly translates the client's general business requirements into a database structure and the final technological stack.

Opportunity or Threat?

Let's return for a moment to the No Fluff Jobs report. Respondents admitted that despite the enormous potential and dynamic development of artificial intelligence, they genuinely fear for their job security. Furthermore, as many as 40 percent of Polish IT specialists declare a lack of trust in AI technology.

Among the main concerns hindering the complete handover of control to artificial intelligence is the risk of errors in generated code, which was pointed out by as many as 60 percent of respondents. Moreover, doubts regarding the security of company data still persist. Some experts continue to highlight the risk of leaks due to the unpredictable nature of LLM models.

On the other hand, for the SME sector, models like Claude are a true financial revolution. For the price of a monthly subscription (starting at $20, depending on the selected version), small organizations can secure automation capabilities at least on par with a junior-level position.

Will Claude Push The Programmer Out From Behind The Desk?

Claude's functionalities, especially in "computer use" mode, may cause some employees to feel replaced to some extent. However, the reality is slightly more optimistic. Claude might be able to create a simple recruitment application. Yet, it will not lead the implementation of a massive, deeply integrated WMS system. For that, human hands are still needed.

Claude has probably already settled onto the desks of many specialists, but it has become more of a desk-mate than a permanent replacement. Companies still need experts who are able to control the code and apply corrections. Therefore, knowing Python or JavaScript — even at a basic level — remains immensely valuable on a CV. Thanks to this, a specialist no longer blindly copies code but can additionally improve it.

One key thing is changing — employees cannot pretend that AI isn't around them. They, too, should learn to supervise LLM models and manage agents.

It is worth keeping in mind expert recommendations and the EU's AI Act. Implementing artificial intelligence should begin with automating the lowest-risk processes. This will allow for discovering the strengths and weaknesses of the solution while the model operates within a designated permission "sandbox."

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