 ## AI Agents Are Already Writing Code for Us. GitHub Showed How to Live with It Yesterday, GitHub released several articles worth reading for anyone working with AI agents in development. Here's a summary of the key points. ### 1. Agent Pull Requests Are the New Reality GitHub published a guide on reviewing PRs written by AI agents. Key insights: — AI agents generate more code but often miss architectural issues — Technical debt from AI agents is a special category: the code looks correct but may not fit the overall architecture — You need to look not at syntax (which is perfect) but at logic and side effects ### 2. Token Efficiency in Agentic Workflows GitHub instrumented its production workflows and discovered that agentic workflows quietly accumulate huge API bills. The solution: built agents to fix them. They optimized their own agents with their own agents—a meta-level approach. ### 3. Agent-Driven Development in Copilot Applied Science A GitHub engineer built coding agents that automated part of their work. Conclusion: working with AI agents requires learning—it's not a replacement for developers but a new way of thinking. ### What This Means for ASI Biont We are building a platform where AI agents don't just write code but execute entire business processes. GitHub's articles confirm: the market is maturing. Companies are already looking for ways to manage agents, optimize them, and integrate them into pipelines. → [Try ASI Biont](https://asibiont.com/) — 1500 tokens to start for new users