For nearly fifty years, one unforgiving rule known as Brooks' Law governed software engineering. It states that if a project is running late, adding more people only makes the situation worse. The reason was not programmers' incompetence, but the unbearable amount of communication and coordination that arises between people. As soon as you add a new person to the team, the number of communication channels grows exponentially. AI, however, elegantly bypasses this problem.

Brooks' Law vs. AI: Why Smaller Teams Win

AI tools don't function like people — they don't need morning standups, they don't grasp nuances in emails, and they don't need vacation. They act as "invisible contributors" who eliminate the coordination tax. According to expert Jacob Lauritzen from Legora, we are witnessing a transformation where a small but experienced team equipped with top-tier models can deliver software that previously required dozens of junior developers.

This shift is particularly evident with tools like Cursor. It is an AI-native editor (IDE) that is becoming the standard for modern developers. While traditional editors were merely passive tools, Cursor actively collaborates with the developer at the level of the entire project. Estimates suggest that Cursor generates annual revenue of around $500 million, indicating massive adoption in the professional sphere.

Tool Comparison and Pricing

For a Czech developer or company, knowing what to invest in is crucial. Here is a quick comparison of the currently best players on the market:

• Cursor: Current leader in AI editors. Offers a Free tier (limited usage), a Pro version for about $20/month (approx. 460 CZK), and Business variants. It is extremely effective thanks to integration of models like Claude 3.5 Sonnet.
• GitHub Copilot: The classic from Microsoft. Priced around $10/month for individuals. It is stable, but often lags behind Cursor in comprehensive understanding of the full project context.
• Claude 3.5 Sonnet (Anthropic): Currently considered the best model for programming due to its logical coherence. Available through a Claude Pro subscription for $20/month. In coding benchmarks, it often outperforms even GPT-4o from OpenAI.

The New Bottleneck: From Writing Code to Reviewing It

Here comes the biggest paradigm shift. If AI can generate a functional code block in seconds, the programmer's role changes dramatically. You are no longer a "code monkey," but a systems architect and reviewer.

This is where a new risk arises. As noted in an analysis from Crypto Briefing, code writing efficiency is increasing, but the review process (code review) is becoming the main bottleneck. If the developer does not perform a thorough check, AI can introduce subtle security flaws or logical inconsistencies into the system that are very difficult to detect across thousands of lines of code.

This problem is critical especially for fintech and cryptographic projects, where even a small bug in a smart contract can mean millions of dollars in losses. While AI helps write code faster, it does not automatically increase its security. On the contrary — as Visa warns, the rise in cyberattacks leveraging generative AI is alarming: attackers now use the same tools to create sophisticated phishing and ransomware.

Impact on the Czech and European Market

What does this mean for Czech software companies and startups? Above all, the ability to scale with minimal costs. The Czech scene, which is strong in outsourcing and product development, can significantly increase its margins thanks to AI. A small Czech team can now compete with global players because their "output per head" is many times higher thanks to AI tools.

However, we must also take the European context into account. The EU AI Act brings stricter regulations for high-risk systems. Developers who use AI to build critical infrastructure (e.g., in healthcare or banking) must ensure full transparency and traceability of code. This means that tools like Cursor must be used with awareness of responsibility for the final result — AI is an assistant, not an author.

In terms of availability, all the mentioned tools are fully accessible to Czech users. Although the interfaces of most of these tools remain in English (which is standard in IT), their ability to understand technical documentation and context is universal. For a Czech developer, this means that their main barrier is no longer language, but the ability to think critically and design systems.