What is agent experience in AI?

Agent experience means shifting from one-shot prompts to goal-driven systems where LLMs use tools, reason over turns, and act autonomously — think less scripting, more emergence.

Is prompt engineering obsolete?

Not fully dead, but niche. Use it for quick queries; agents own complex, multi-step goals.

Are AI agents safe for production?

Rarely, without tight constraints. Blast radius is huge — sandbox religiously, or regret it.

🤖 AI Dev Tools

Prompt Engineering's Over — Agents Are Taking the Wheel, for Better or Worse

Terminal-Bench agents crush 42% of real dev tasks that prompts flopped on. But one rogue terminal call? Your infra's toast.

theAIcatchup Apr 09, 2026 3 min read

AI agent autonomously navigating a terminal interface with tools and reasoning steps

⚡ Key Takeaways

Prompt engineering evolves into agent experience: goals + tools beat bloated prompts. 𝕏
Context engineering is the new battleground — manage exploding windows or fail. 𝕏
Agents promise autonomy but risk disasters; shape their world tightly or face AI winter 2.0. 𝕏

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theAIcatchup

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#AI agents #LLM agents #MCP protocol #agent experience #context engineering #prompt engineering

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Originally reported by dev.to

⚡ Key Takeaways

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