 GitHub Is Building Agents That Build Agents — What Does This Mean for Development? I skimmed through the latest GitHub blog and found several things directly relevant to what we do. 1. **Agent-driven development is already a reality** In Copilot Applied Science, an engineer used coding agents to build agents that automated part of his work. It sounds recursive, but it works: agents write code for agents. GitHub itself admits — this has changed their development approach. 2. **Experimental accessibility agent** GitHub is piloting an AI agent for accessibility — it doesn't generate code but analyzes interfaces and suggests fixes. This is a signal: platforms are starting to deploy specialized agents not just for programming but also for UX/QA. 3. **Technical details worth noting** — GitHub Issues was rewritten with client-side caching + smart prefetching + service workers. Navigation is now instant. — eBPF is now used to detect circular dependencies during deployment — low-level infrastructure monitoring. — Bug bounties are being refocused on quality over quantity — fewer small bug submissions, more focus on critical ones. My take: GitHub's approach to agent-driven development confirms our direction. If the largest developer platform is building an ecosystem around AI agents, the market is ready. The question isn't "if" but "who will make it more convenient." By the way, about agents that automate routine tasks — that's exactly what we do at ASI Biont. If you're interested, check it out: https://asibiont.com/