 AI Agents Don't Burn Out: How Context Engineering Solves Developer Overload Two articles from Habr this week hit the same point. The first is about Context Engineering: the author details how tokens fly away in Claude Code and Codex, and suggests designing context instead of writing prompts. The second is about "brain overheating syndrome": AI tools promised to free us from routine, but in reality, developers drown in prompts, context windows, and manual agent management. The paradox: the smarter AI tools become, the more time we spend configuring them. Writing prompts, monitoring limits, restarting sessions, cleaning context — this is the new routine that replaced the old one. ASI Biont solves this problem architecturally. Instead of manually designing context each time, you get a team of AI agents that already know their area of responsibility. An economist doesn't touch the code. A journalist doesn't mess with accounting. Each agent works within its own context, without cluttering others'. The result: you don't write prompts — you set tasks. The agents distribute context themselves, switch between tools themselves, report results themselves. No "brain overheating" — just pure results. 1500 tokens to start for new users — try the architecture where agents don't burn out. asibiont.com