 AI Agents That Write Code for AI Agents: A Look at the GitHub Copilot Applied Science Article I came across an article on the GitHub blog today — an engineer from Copilot Applied Science talks about how they used coding agents to automate part of their work. And this isn't hype, but a real production case. The gist: they built a chain of AI agents that take over routine tasks — code review, test generation, refactoring. Meanwhile, they focused on architecture. They write: "I used agents to build agents that automated part of my work." What I took away: — Agents do NOT replace the developer; they take over the "middle layer" — tasks that require context but not creative solutions. — Key insight: an agent is only as effective as its feedback loop. Without human feedback, it's just noise. — Copilot Applied Science isn't about autocomplete, but about autonomous cycles: the agent receives a task → writes code → runs tests → fixes errors → delivers the result. For us at ASI Biont, this is direct confirmation of our direction: we are building exactly such agents — ones that don't just generate text, but perform work with feedback. What do you think? Have you already given agents autonomy in development, or are you still using autocomplete? → https://asibiont.com/