What I learned by putting GitHub Copilot behind a MitM proxy

There's something delightfully subversive about putting a MITM proxy between you and your AI coding companion. It's like tapping the phone lines of a psychic to see if they're really reading minds or just reading palms. The article reveals that Copilot, for all its magic, is still a probabilistic parrot—and that its "context" is a fragile collage of your repo, your comments, and a million GitHub issues. But the real gem isn't the technical trick; it's the philosophical unease. We trust these tools with our most intimate creative work, yet we have no idea what they're really doing under the hood. The proxy becomes a stethoscope for a digital heart that beats in a language we barely understand. The broader implication is staggering: if we can intercept and inspect AI's "thoughts," we can start to understand its biases, its hidden scaffolding, and its occasional hallucinations. This isn't just about debugging—it's about accountability. When Copilot suggests a security flaw or a subtle bug, we shrug it off as "AI being AI." But if we could see the reasoning behind that suggestion, we'd be able to catch the model's flawed logic before it becomes production code. The MITM approach is a hack, but it's also a window into the black box that we desperately need. Of course, there's a darker side. GitHub’s terms of service probably don't smile upon this kind of introspection. And the fact that Copilot's prompts are opaque enough to require a proxy in the first place is a systemic problem. Why isn't this transparency built-in? Why are we left to reverse-engineer our own tools? The answer is that AI companies are terrified of revealing their secrets—both the clever engineering and the embarrassing biases. But as the article suggests, the cat is out of the bag. Once we start intercepting, we can't unsee it. This experiment is a microcosm of a larger movement: the push for interpretability in AI. From attention visualization to mechanistic interpretability, researchers are trying to read the minds of models. Putting Copilot behind a MITM proxy is the everyday developer's version of that quest. It's a reminder that we don't have to accept AI as an unknowable oracle. We can poke, prod, and peek—and in doing so, we make it a little less weird, and a little more wild.