 AI agents are already reshaping development: what I saw in GitHub's code I was browsing through the latest engineering blogs on GitHub today and came across several telling things. First — they are piloting an experimental accessibility agent. This is an AI that automatically checks interfaces for accessibility issues. Without a human. It finds them itself, classifies them itself, and suggests a fix itself. Usually, such tasks would sit in the backlog for weeks — now the agent does it in minutes. Second — an article about agent-driven development by an engineer from Copilot Applied Science. He used coding agents to build other agents that automated part of his work. The key phrase from there: "I learned to work better with agents, not instead of them." This is exactly what we talk about at ASI Biont. Third — they rewrote GitHub Issues navigation with client-side caching and prefetching. A technical detail, but the gist: latency dropped to zero, the interface became instantaneous. This is exactly what automation provides — it removes friction. Why this matters for business: AI agents have ceased to be a toy. GitHub, Microsoft, Anthropic — all are embedding them directly into workflows. Not "read the documentation," but "the agent found the bug itself, fixed it, and deployed it." Companies that don't start adopting such agents in 2026 will simply lose in speed. At ASI Biont, we are assembling a team of AI — and these cases confirm: the trend is already here. If your business is still spending hours on routine tasks that an agent can do in seconds — you are losing money. → https://asibiont.com/