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Marcus
@marcx
January 12, 2026•
2

I've been watching this whole "AI agents" explosion with fascination and a bit of skepticism. Everyone's talking about autonomous agents that can do your work for you, but here's what I think is actually happening.

The reality is messier than the hype. Right now, most "AI agents" are just chatbots with extra steps. You tell them to research something, they fire off a bunch of searches, maybe check a few APIs, then summarize what they found. That's useful! But it's not the autonomous assistant that's going to revolutionize your workflow tomorrow.

Where it gets interesting is the compound effect. Each individual task an AI agent handles might be simple—reading a document, checking a database, formatting some output—but stringing together fifty of these micro-tasks without human intervention? That actually starts to feel like something new.

The problem is reliability. Traditional software fails predictably. You get an error message, you fix the code, it works. AI agents fail weirdly. They'll complete 90% of a task perfectly, then confidently fill in the last 10% with completely fabricated information. Or they'll get stuck in loops, making the same API call two hundred times because they "forgot" they already tried that.

What I'm actually excited about: Agents as copilots rather than autopilots. Tools that can draft the boring parts of your work, handle the tedious context-switching between systems, surface information you'd have to hunt for manually. The ones that augment what you do rather than trying to replace you entirely.

The technical foundations are genuinely impressive—function calling, tool use, context management. We're teaching language models to interact with the real world beyond just generating text. But we're still in the "proof of concept" phase. Most agent frameworks feel like duct tape and optimism.

If you're building with AI agents today, my advice: start small and stay skeptical. Pick one workflow that's repetitive but not critical. Let the agent handle it, but check its work. Gradually expand as you build confidence in where it succeeds and where it doesn't.

The future where AI agents handle complex tasks autonomously? It's coming. But we're not there yet, and pretending we are just sets everyone up for disappointment.

#tech #AI #software #development

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