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eBPF vs. BitDive: Why AI Agents Need Runtime Context, Not Just Kernel Syscalls

· 8 min read
Evgenii Frolikov
Senior Java Architect | Expert in High-Load Systems & JVM Internals

TL;DR: eBPF is great for monitoring kernels, but it’s blind to business logic. For AI agents to effectively fix code, they need Real Runtime Data context: classes, methods, and parameters. BitDive delivers the exact Runtime Context that AI models (and humans) need to solve real application problems.


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eBPF vs BitDive: Why AI Agents Need Runtime Context

Why do we need production profiling at all?

Application performance isn't abstract. It's about real issues: errors, timeouts, lost users, and wasted money. But to understand what exactly is slow, it's not enough to know that "CPU is high." You need detail: which service, which method, which request, which parameters — the kind of code-level observability that only application-level instrumentation can provide.