Unpopular opinion: "Agentic AI" is just glorified scripts with fancy marketing, and most devs using it are wasting time.
I’ve been watching the hype around agentic AI build up over the last few months, and honestly, I feel like I'm taking crazy pills. Every second post on tech subreddits is someone claiming their "multi-agent framework" autonomously wrote an entire SaaS app or solved complex enterprise workflows.
When you actually look under the hood of 95% of these projects, it's literally just a standard LLM wrapped in a basic while loop, chained together with hardcoded if/else prompts, hammering an API until it brute-forces a passable answer.
Here are my main issues with the current state of "agents":
- Non-deterministic nightmare: Giving an AI loop permission to execute code or call tools autonomously without deterministic guardrails is a recipe for infinite loops, blown API budgets, and broken production environments.
- It's faster and cheaper to just write code: Why spend 3 hours engineering systemic prompt orchestration, fallback states, and context management for an agent to do a task when a 20-line Python script or a standard API integration does it in 5 milliseconds deterministically?
- Junior devs are using it as a crutch: People who don't understand architecture are throwing "agents" at problems they don't know how to solve manually, creating unmaintainable codebases they can't debug when the agent inevitably hallucinates mid-execution.
I’m not saying autonomous systems will never work, but right now, "Agentic AI" is mostly a buzzword used by startup founders to raise venture capital and devs trying to pad their resumes.
Are people actually using agentic workflows in mission-critical production systems with real ROI, or are we all just pretending standard software engineering principles don't apply anymore? Change my mind.