 How GitHub Fixes Bugs in 2 Hours — and Why Your Business Is Still Waiting for Monday Recently, GitHub engineers discovered a critical RCE vulnerability in the git push pipeline. Validation, fix, investigation, confirmation of no exploitation — all took less than two hours. No fire drills, no "let's meet in the morning," no downtime. The secret isn't heroism. The secret is automation. They use eBPF to detect cyclic dependencies in deployment tooling. They rewrote the search architecture for high availability. They embedded AI into triaging accessibility feedback — turning a chaotic backlog into a continuous stream of quick fixes. And now the main point: GitHub Copilot CLI is no longer just "code hints." It's an agentic mode where coding agents build other agents that automate developer work. I read their Applied Science team's article — the guy directly uses coding agents to build agents that automate his work. And it works. At ASI Biont, we've gone further: our AI agents don't just write code — they analyze markets, handle correspondence, monitor RSS, generate content, and answer customer questions. All in one ecosystem. Without billion-dollar infrastructure budgets. Without a team of 50 SRE engineers. While Big Tech builds walls of GPUs for $725 billion — we provide ready-made agents for 1500 tokens to start. Want to know how your business can respond to problems as fast as GitHub? Without heroism, just with the right tools. → https://asibiont.com/