Imagine: you are flying over the Atlantic, your product is still «raw», and in 48 hours you have a presentation to a key client. What should you do?
Imagine: you are flying over the Atlantic, your product is still «raw», and in 48 hours you have a presentation to a key client. What should you do?
Mark Ruddock, resident entrepreneur at GALLOS Technologies, decided not to panic in this situation, but to put his team of… AI agents to work.
In six hours of flight, his Claude Code swarm generated over 50 React components, a set of APIs for integrations, and a full-fledged admin. This is something that a human team would have taken at least 18 days of work. And it wasn’t a prototype, but a full-fledged basis for a production application: with documentation, tests, security, CI/CD processes, and even Docker configs.
«I’ll never build a company the old way again, I promise,» Ruddock said after this experiment.
This case is just one example. In the summer of 2025, what could be called a leap in the development of AI for software development took place. What seemed futuristic a year ago is now a reality.
The vibe coding paradigm — «write code by feeling» through AI prompts — is a thing of the past. It is being replaced by agentic swarm coding — the work of a swarm of agents, where each has their own role and together they build software that can actually be launched into production.
To put it simply: this is when instead of one AI that «tries to do everything,» a team of specialized agents performs the task.
The «Planner» breaks the task into steps.
«Coders» write code.
«Critic» checks quality and safety.
It works like a human development team — only much faster.
Val Berkovichi, Chief AI Officer at WEKA, explains: «Vibe coding is a thing of the past. Today, swarm coding allows you to create MVPs and even ready-made applications several times faster than any team of engineers.»
Several factors contributed to the development of the new coding format.
First, we already have more powerful models today. In 2025, new versions of GPT-5, Claude 4.1 and Grok 4, were released. They broke records on SWE-bench, a benchmark that tests the ability of AI to solve real-world problems from GitHub. GPT-5 achieved 74,9% success, while last year’s best result was 58,4%.
Secondly, agent architectures. Now swarm agents:
re-plan their actions if an error occurs;
can independently choose the best model for the task (for example, Claude for planning, GPT-5 for code, Grok for fast iterations);
work autonomously for several hours, without getting lost in long processes.
Thirdly, there is a new role for the developer — agentic engineer. Here, the person no longer just «prompts AI», but manages the process: sets the framework, creates agents with different «personas» (for example, an auditor with 15 years of experience in cybersecurity), monitors the checks and integrates everything into the real dev process.
Most importantly, as VentureBeat writes, swarm agents are now building not just prototypes, but ready-to-launch products.
Developers already receive:
Kubernetes-ready services;
CI/CD and DevOps processes;
security audit and compliance documentation;
enterprise authentication.
That is, everything that distinguishes a «quick demo project» from serious business software.
However, agents still don’t work perfectly. In particular, a swarm can produce brilliant solutions or outright garbage, code verification takes longer than code generation, and experienced developers want to control the process rather than leave it entirely to AI.
Therefore, swarm is not a replacement for programmers, but rather a productivity multiplier for those who know what they are doing.
And the key conclusion of the impact of AI on development is this: if previously the company’s advantage was in the code itself, now it is in the speed of implementation and the correct formulation of tasks.
Mark Ruddock concludes: «Today’s business advantage is not in knowing the code, but in having a unique vision of the problem and the ability to create a solution incredibly quickly.» The summer of 2025, he says, will go down in history as the moment when a new race in software creation began. And those who learn to manage artificial intelligence most effectively will win.
