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Ninaad Rao

DZone Core CORE

Software Engineer 3 (AI) at Cisco

US

Joined Apr 2026

Stats

Reputation: 483
Pageviews: 16.2K
Articles: 7
Comments: 0
  • Articles

Articles

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The Warning That Never Stops the Agent
Deepagents tracks real session cost but only shows a toast. Nothing stops the loop from spending past a limit. A before_model hook that can jump to "end" closes that gap.
September 29, 2026
· 809 Views · 1 Like
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Prompt Caching Doesn't Save Money on Turn One
Cache writes cost 1.25x the input price, and reads cost 0.1x. So a fresh conversation's first turn is more expensive with caching on.
September 25, 2026
· 1,299 Views · 2 Likes
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Dynamic Tool Selection: A Portable Pattern for Agents Drowning in Tool Schemas
Past ~20-30 tools, sending every schema every turn hurts cost and accuracy. A lexical scorer plus a registry-search hatch fixes most of it — no embeddings needed.
September 7, 2026
· 2,028 Views · 4 Likes
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The Inter-Agent Protocol Problem
Every major agent framework is incompatible with the others. Your protocol choice today determines whether you can swap workers tomorrow.
July 1, 2026
· 2,893 Views · 4 Likes
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How Agent Frameworks Solve Human-in-the-Loop
Six frameworks, three HITL patterns — the right choice depends on tool-call granularity, editable args, and whether the run survives a process.
June 30, 2026
· 2,313 Views · 5 Likes
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The Middleware Gap in AI Agent Frameworks
Most agent frameworks observe model calls and allow rewriting them only after they reach the model, making an understanding of callbacks and middleware essential.
June 8, 2026
· 2,369 Views · 5 Likes
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Persistent Memory for AI Agents Using LangChain's Deep Agents
Most AI agents forget you when the session ends. deepagents fixes that — persistent per-user memory across sessions, no vector database.
June 4, 2026
· 4,456 Views · 5 Likes

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