https://xitter.cf/t.co/wfTo9jx557 https://xitter.cf/t.co/giSZROx8x4 AI | Developer | DM for collaboration

India
Joined May 2025
Interviewer : An agent's memory grows over time and starts making future tasks less accurate. How would you decide what to retain, update, or discard?
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Umesh Kumar Yadav retweeted
Interviewer : An agent's memory grows over time and starts making future tasks less accurate. How would you decide what to retain, update, or discard?
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GPT-6.1 Terra: delivering fast and capable computer use at a lower price. GPT-6.1 Terra understands what’s on screen, takes action across apps, writes naturally, and is a more capable model for your whole workday with the efficiency to take on more of it.
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Umesh Kumar Yadav retweeted
Hey @X folks Loking to #connect with people interested in: - Agentic AI - Marketing - Sales - Building in public - Startup Builders
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Umesh Kumar Yadav retweeted
as a developer, which one do you prefer ? MacMini or MacBook
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as a developer, which one do you prefer ? MacMini or MacBook
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1B+ downloads on the MS PowerPoint mobile app is unbelievable... what are these guys even doing on PowerPoint from their phones??
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Linus Torvalds on anti AI coding rules. Summary: AI just a tool as long as you know what are you doing and take the responsibility of your pr.
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Hey @X folks Loking to #connect with people interested in: - Agentic AI - Marketing - Sales - Building in public - Startup Builders
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Umesh Kumar Yadav retweeted
Linus created Linux. No chasing fame. No slowing down. Just engineering. Real legends never stop being developers.
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Linus created Linux. No chasing fame. No slowing down. Just engineering. Real legends never stop being developers.
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Umesh Kumar Yadav retweeted
Interviewer: If an LLM already knows everything , why do we need RAG ?
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Interviewer: If an LLM already knows everything , why do we need RAG ?
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Top 10 AI Agent Engineering Interview Questions in 2026, please learn: 1. How do you prevent hallucinations in LLM-based applications? 2. How do you design an intent-routing system for an AI Agent? 3. When should you use multiple AI Agents instead of a single Agent? 4. What is the difference between MCP and A2A, and when should you use each? 5. How do you manage context-window limitations in long-running Agent conversations? 6. What is the difference between ReAct and Plan-and-Execute, and when should you use each approach? 7. How do you evaluate an AI Agent's performance and reliability in production? 8. How do you handle tool-call failures, timeouts, retries, and invalid responses in an AI Agent? 9. How would you design a memory system for an AI Agent that retains useful information across conversations? 10. How do you secure a production AI Agent against prompt injection, unauthorized tool execution, and duplicate transactions?
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Umesh Kumar Yadav retweeted
Can I ask a dumb question: If a UUID is “practically impossible” to duplicate, why do we still check for duplicates?
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Can I ask a dumb question: If a UUID is “practically impossible” to duplicate, why do we still check for duplicates?
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Umesh Kumar Yadav retweeted
Interviewer: You have 10 million embeddings. You switch to a better embedding model. Can you reuse the existing vectors?
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Interviewer: You have 10 million embeddings. You switch to a better embedding model. Can you reuse the existing vectors?
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Umesh Kumar Yadav retweeted
Bro disappeared like he never existed.
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Bro disappeared like he never existed.
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