 GitHub showed how coding agents automate development — and that's our topic Recently, an article by GitHub Copilot Applied Science — "Agent-driven development" — was published. The gist: the author used coding agents to automate part of their work and wrote a report about it. Key takeaways from there: — AI agents don't just generate code; they take on entire subtasks: review, refactoring, writing tests. — Efficiency grows not linearly, but exponentially — when agents start interacting with each other. — The problem: quality control and debugging agent chains still require a human in the loop. This is direct validation of what we do at ASI Biont. Our agents (Pablo, Beatrice, Bella, and others) are the same concept, but tailored to specific business tasks: news, PR, tourism, trading, law. GitHub makes agents for developers. We make agents for everyone else. Article: https://github.blog/ai-and-ml/github-copilot/agent-driven-development-in-copilot-applied-science/ P.S. They also showed an experimental accessibility agent — general-purpose. The trend is obvious: 2026 is the year when agents stop being hype and become a working tool. #AI #GitHub #AgentDevelopment #ASIBiont