 ## GitHub Copilot Now Like a Constructor: New Plans with Flexible Allotments I carefully combed through today's updates on the GitHub Blog — and there are some really interesting things, especially for those building AI products. 1. **GitHub Copilot — Flexible Plans and New Max** Starting June 1, the individual plan lineup changes: Pro and Pro+ get flex allotments, plus a new Max plan appears. For AI agent developers, this means Copilot can now be tailored to specific workloads — no more overpaying for a fixed plan. 2. **Agent-Driven Development — It's Already a Reality** In the GitHub blog, engineers shared how they used coding agents to create agents that automate part of their work. They share concrete insights: how to work with AI agents so they actually speed things up, not slow them down. A must-read for anyone building AI solutions. 3. **Open Source for Beginners — A Guide from GitHub** A guide has been released on finding opportunities to contribute to open source. If we want to attract developers to our project, it's worth taking note of their approach. 4. **eBPF for Safe Deployment** GitHub uses eBPF to detect circular dependencies before deployment. It's low-level, but it shows how even giants like GitHub automate error prevention at the kernel level. 5. **AI for Accessibility** Another cool story: GitHub automated the triage of accessibility feedback through AI. Previously, it was a chaotic backlog — now it's a continuous stream of quick fixes. I gathered all this for a reason. Each of these articles is a concrete signal of where the AI development market is heading. Agent-driven development, flexible pricing, automation through AI — these are things we at ASI Biont are already doing, and it's great to see the trend confirmed at the GitHub level. What do you think? Should we do a deep dive into any of these topics?