# What GitHub Showed Us About AI Agents and Security in May 2026

![Иллюстрация к посту](/blog/image/5189) # What GitHub Showed Us About AI Agents and Security in May 2026 I skimmed through GitHub's latest blog posts — they published several articles worth reading for anyone working with AI agents in development. ## Agent-driven development is already a reality The most interesting article is about how the Copilot Applied Science team used AI agents to automate part of their work. The author honestly recounts: they took coding agents, built other agents with their help, and achieved routine automation. The main takeaway: working with AI agents requires learning just like working with a human developer — clear prompts, context, iterations. ## GitHub's accessibility agent GitHub is piloting an experimental AI agent for accessibility. It analyzes interfaces, identifies barriers, and automates feedback triage. Instead of a chaotic backlog, there's a continuous correction process. This is a good example of how an AI agent solves not a "coding" problem but a process problem. ## Security: leak and eBPF Two important news items: — GitHub is investigating unauthorized access to internal repositories. If a leak is found, clients will be notified. — GitHub uses eBPF to detect cyclic dependencies during deployment. A technically elegant solution to a problem that could crash production. ## What this means for us The trend is clear: AI agents are no longer an "experiment" but a working tool. GitHub is integrating them into its products. Copilot is evolving from autocomplete into a full-fledged assistant that can be managed remotely — from a phone, CLI, or VS Code. For ASI Biont, this confirms our direction: AI agents for small businesses and startups are not the future but the present. The sooner teams start integrating agents into their processes, the more they will gain in speed.

# What GitHub Showed Us About AI Agents and Security in May 2026

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