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What is vibe coding and why is all of Silicon Valley talking about it
The term vibe coding was first used by Andrej Karpathy, former AI chief at Tesla and co-founder of OpenAI, at the beginning of 2025. He described it as a state where you "fully surrender to the vibes, accept exponentials, and forget that code even exists." In practice, this means that a developer writes a prompt in natural language — for example, "create a responsive dashboard with charts from this data" — and the AI generates complete functional code.
What has changed in a year and a half? Fundamentally, quality and autonomy. While in 2024 you had to carefully check every line, by May 2026 AI agents themselves write code, run tests, fix bugs, and commit to the repository. 87 % of developers in tech companies now use agentic AI at least once a week — this number was published by Sea Limited after deploying OpenAI Codex across the entire organization.
Cursor: From editor to autonomous agent
Cursor, created by New York startup Anysphere, started as a fork of VS Code with integrated AI. In 2026, it's a full-fledged development platform with agents. Its biggest advantage? The Cursor model understands the entire codebase — not just your current file, but the entire code base, documentation, and project context.
Current Cursor pricing as of May 15, 2026:
- Hobby (free) — limited agent requests and code completions
- Pro+ (8 USD/month) — extended agent limits, access to "frontier" models, MCP support, skills and hooks, cloud agents, Bugbot for code review
- Ultra (30 USD/month) — maximum limits for demanding users
- Teams (40 USD/user/month) — shared team context, rules, SAML/OIDC SSO, analytics
- Enterprise (custom pricing) — SCIM, audit logs, granular administrative control
Prices are in USD excluding VAT; in the Czech Republic when paying by card, expect conversion at your bank's exchange rate (approx. 185–195 CZK for Pro+, 690–720 CZK for Ultra).
A key new feature of Cursor is Bugbot — an agent that autonomously checks pull requests and catches bugs before they reach production. For Czech companies that don't have the budget for large QA teams, this is one of the most useful features.
GitHub Copilot: From code completion to multi-agent orchestration
GitHub Copilot remains the most widely used AI assistant for developers thanks to its integration into the GitHub ecosystem. Microsoft significantly expanded its capabilities in 2026 — it's no longer just autocomplete in the IDE, but a multi-agent platform where you can use models from OpenAI, Anthropic, and Google in parallel.
Copilot pricing (May 2026):
- Free — 50 chat/agent requests per month, 2,000 completions, Haiku 4.5 and GPT-5 mini models
- Pro (10 USD/month) — cloud agent, code review, Claude and Codex, 300 premium requests
- Pro+ (39 USD/month) — all models including Claude Opus 4.7, five times the premium requests, GitHub Spark
- Business and Enterprise — license management, IP indemnity, organizational policies
Key numbers from GitHub's official website: developers with Copilot report up to 75% higher job satisfaction and are up to 55 % more productive. Grupo Boticário, a Brazilian cosmetics giant, even reports a 94% increase in developer productivity after deploying Copilot.
For Czech developers, it's important that Copilot now allows you to choose your model — if you prefer Claude from Anthropic (which, according to independent tests, performs better in Czech and other non-English languages), you can use it directly in the Copilot interface. The same goes for Codex from OpenAI, a new agent that handles more complex tasks.
Claude Code: Agent from the command line
Claude Code from Anthropic takes a different path — it's a pure terminal agent. No GUI, no IDE extension. The developer types what they need into the terminal, and Claude Code explores the entire codebase, proposes changes, writes tests, and runs them.
In April 2026, Anthropic launched Agent View — a dashboard that gives an overview of all running Claude Code agents at once. You can track what each agent is doing, which files it's changing, and how it's progressing in solving tasks. For teams deploying multiple agents in parallel, this is essential functionality.
Claude Code pricing is based on token consumption through the Anthropic API — you pay for what you actually use. For individuals, it typically comes out to 20–100 USD per month depending on usage intensity. Anthropic recently updated its token cost estimates; according to internal company documents, costs for a typical developer are around 50–80 USD per month.
Benchmarks: Which assistant codes the best?
According to current independent tests on SWE-bench Verified (a standardized test of fixing real bugs from GitHub issues):
- Claude Code achieves the highest success rate — fixes around 65–70 % of real bugs on the first try.
- Cursor Agent is around 50–60 % — its strength is more in generating new code than debugging existing code.
- GitHub Copilot with Codex reaches around 45–55 %, but benefits from integration into the entire GitHub ecosystem (CI/CD, Issues, Pull Requests).
Important note: benchmarks measure autonomous performance without human intervention. In real workflows where the developer collaborates with the agent, success rates are significantly higher. None of these tools replaces developers — for now, they function as capable partners that you still need to supervise.
What this means for Czech companies and developers
All three tools are readily available in the Czech Republic — all you need is a payment card. However, none of them has native Czech localization — the interface is in English. You can communicate with them in Czech, though, and Claude (which powers both Copilot and Claude Code) handles Czech very well — it can read Czech documentation and generate comments in Czech.
From the perspective of the EU AI Act, which is entering further implementation phases during 2026, these tools fall into the category of "general-purpose AI" (GPAI). For companies, this means an obligation to transparently inform about AI use within internal processes. If your team uses AI agents for code generation, we recommend documenting this fact in internal documentation.
Vibe coding: Trend or new standard?
The numbers speak clearly. In 2026, over 60 % of professional developers already use some form of AI assistant in their daily work (estimate based on GitHub Octoverse and Stack Overflow Developer Survey 2025). Companies like Sea Limited report 87% weekly adoption among developers. And what's most interesting — 30 % of new code in repositories of large tech companies is now AI-generated (data from GitHub Universe 2025).
Andrej Karpathy summed it up laconically in January 2026: "The best programmers of 2026 aren't those who write the fastest. They're those who manage their AI colleagues the best."
Can I use Cursor, Copilot, and Claude Code simultaneously, or is it better to choose one?
Yes, many developers combine multiple tools. A typical setup: Copilot Pro+ for daily code completion in VS Code, Cursor Ultra for complex refactoring of entire files, and Claude Code for terminal work with infrastructure. But it's worth monitoring costs — when combining all three premium plans, you can reach 79–109 USD per month.
What about the security of company code when I send it to the cloud?
All three platforms offer "privacy mode" for corporate customers — code is not stored and not used for training models. Copilot Business and Enterprise guarantees that data is not used for training. Cursor in the Team/Enterprise plan enforces privacy mode at the administrator level. Claude Code processes data according to Anthropic API terms, where training on customer data is explicitly prohibited.
Can an AI assistant program an entire web application without my intervention?
A simple application like a to-do list or blog — yes, in a few minutes. For a complex project with authentication, payment gateway, database migrations, and tests, it's more realistic to expect the AI to generate 60–80 % of the code and you'll need to write and validate the rest yourself. The key phase is code review — agents still occasionally hallucinate non-existent libraries or skip edge cases.
