Listen to this article:
The world of software engineering is at a point where traditional methods of writing code are beginning to evolve into something far more complex. According to recent announcements reported by StartupHub.ai, tech conglomerate Sea Group has decided to bet on agentic development (Agentic Software Development) built on OpenAI Codex technology.
What does this mean for us? While existing tools like the original GitHub Copilot functioned more as an "intelligent autocorrect" for programmers, the new generation of agents has the ability to independently solve entire tasks. It is no longer just about AI completing a line of code, but about understanding the assignment, proposing architecture, writing tests, and fixing errors on its own if they occur.
What Is "Agentic Development" and Why Does It Matter?
To understand this shift, it is necessary to define the term agentic AI. Unlike standard LLMs (large language models) that merely generate text based on a prompt, an agent has the ability of cyclic reasoning. This process includes three key phases:
- Planning: Breaking down a complex task (e.g., "create an authentication module") into smaller, manageable steps.
- Action: Actual code writing, terminal calls, library installation, or browsing the file system.
- Observation and reflection: Running code, analyzing error messages, and subsequently correcting its own approach.
This approach, which is positioning itself as the main direction within OpenAI Codex, enables software to be created at a much higher speed, but also presents new types of challenges in the areas of security and quality control.
Comparison: Codex vs. GitHub Copilot vs. Claude
To understand the position of OpenAI Codex in 2026, we need to look at the current market leaders. Each of them offers a different approach to programming:
| Tool | Main Focus | Agentic Behavior Capability |
|---|---|---|
| OpenAI Codex (Agentic) | Autonomous task solving and workflow integration | High (planning and self-healing) |
| GitHub Copilot | Fast code completion and chat in IDE | Medium (primarily assistance) |
| Claude (Anthropic) | Logical reasoning and visualization (Artifacts) | High (within isolated environments) |
While Claude excels in logical structure and the ability to "see" UI components through its Artifacts, Codex, thanks to deeper integration into development environments, focuses on deep autonomy within the entire operating system and CI/CD processes. For developers, this means that Claude is a great partner for brainstorming and prototyping, while Codex is becoming a "virtual junior developer" to whom you can delegate routine tasks.
Practical Impact: What Does It Mean for Czech Companies and Developers?
For the Czech tech scene, which is particularly strong in software development and outsourcing, this shift has two main aspects:
1. Changing Role of the Programmer
Czech developers will not be replaced, but their role will transform. Instead of writing syntactically correct code, their work will focus more on architectural decision-making, defining parameters for AI agents, and reviewing code generated by AI. More important than knowledge of a language's syntax is becoming the ability of prompt engineering and managing AI processes.
2. Availability and Regulation in the EU
Since OpenAI offers its models via API, the rise of Codex is very easy for Czech companies. However, it is necessary to take into account the EU AI Act. Autonomous agents that have the right to change code in production systems may be classified as higher-risk systems. Companies in the Czech Republic must ensure that "human-in-the-loop" processes are integrated into every development cycle to ensure safety and compliance with European legislation.
Pricing and Availability
The availability of tools varies depending on the method of use:
- OpenAI API (Codex): Pay-as-you-go. Prices are around $0.01 - $0.03 per 1000 tokens depending on the model. For small Czech startups, this is an ideal way to scale costs according to need.
- GitHub Copilot: Offers a subscription for approximately $10/month for individuals and $19/month for businesses.
- Claude Pro: The standard price is $20/month.
All of these tools are available to users in the Czech Republic, with API interfaces and documentation primarily in English, which is standard for professional developers.
Conclusion
Sea Group's investment in agentic development using OpenAI Codex confirms that the era of simple "text completion" is ending. The era of autonomous systems that can truly collaborate on software creation is beginning. For Czech developers and companies, it is a challenge to adapt to new tools and shift focus from writing code to managing and securing it.
Can AI agents completely replace junior developers?
Not entirely, but their role will fundamentally change. Agents will take over routine tasks (writing tests, fixing minor bugs), allowing juniors to progress more quickly to more complex tasks. A junior must now be able to effectively manage AI agents.
Is it safe to let AI agents access my source code?
It depends on the implementation. When using the OpenAI API, data is protected by standard security protocols, but for critical infrastructure, it is necessary to use isolated environments and strictly follow EU AI Act rules to ensure control over what the agent inserts into the code.
What are the main costs when transitioning to agentic development?
The main costs are API fees (tokens) and the cost of developer time spent debugging agentic workflows. Unlike a fixed subscription, API model costs are directly proportional to usage intensity.
