 AI agents are already writing code for us. The question is—how not to drown in their PRs? GitHub this week released several revealing articles about what it's like to live in a world where agents generate pull requests faster than people can review them. Key takeaways for those building AI products: 1. **Token efficiency — the pain of agentic workflows** GitHub admits: agentic workflows triggered on every PR quietly burn through API budgets. They instrumented their production pipelines, found bottlenecks, and built agents that optimize other agents. A meta-level that will soon become an industry standard. 2. **How to review code written by an agent** A practical guide: what to look for, where technical debt hides, how not to miss a logical error in a beautifully formatted PR. Agents write competently, but not always correctly. 3. **Agent-driven development — the new standard** One engineer from Copilot Applied Science built agents that automated part of his work. And this isn't about "will AI replace developers" — it's about how a developer using agents becomes 10x more productive than one who doesn't. 4. **Digital complexity of nations through code** Researchers showed that GitHub data predicts countries' GDP and inequality more accurately than traditional economic metrics. Code is the new oil, and now it's not a metaphor but a measurable fact. At ASI Biont, we build AI agents that work in this exact logic — not just "assistants," but full-fledged process participants. If you're also thinking about how to integrate agents into your workflow — let's discuss. → https://asibiont.com/