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swati goyal

Btech from NIT KKR | CS-1 at Adobe | SDE-3 at Phonepe | Interviewer at Interview Vector | SDE2 MEESHO | SENIOR SOFTWARE ENGINEER Arcesium | SDE DINEOUT (Times Internet) | B.Tech in ECE from NIT Kuruks

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Adobe

From Domain to IP: Demystifying DNS Records in Minutes

From Domain to IP: Demystifying DNS Records in Minutes

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Day 23: Agentic AI in Product Management 🧠📦

Day 23: Agentic AI in Product Management 🧠📦

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Day 22: Multi-Agent Collaboration (Manager–Worker Model) 🤝🤖

Day 22: Multi-Agent Collaboration (Manager–Worker Model) 🤝🤖

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Day 21: Agent Failure Modes & Debugging Techniques 🧨🔍

Day 21: Agent Failure Modes & Debugging Techniques 🧨🔍

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Day 20 – Research Agents (web Search + Summarization)

Day 20 – Research Agents (web Search + Summarization)

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Day 18 – Agentic AI For Software Development

Day 18 – Agentic AI For Software Development

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Day 19 – Customer Support Agents (tickets Resolution)

Day 19 – Customer Support Agents (tickets Resolution)

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Day 17 – Using Agents For Data Analysis Tasks

Day 17 – Using Agents For Data Analysis Tasks

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Day 16 – Designing Agent Prompts That Actually Work

Day 16 – Designing Agent Prompts That Actually Work

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Day 15 – Building Your First Simple AI Agent

Day 15 – Building Your First Simple AI Agent

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Day 14 – When Not To Use Agentic AI

Day 14 – When Not To Use Agentic AI

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Day 13 – Single-agent Vs Multi-agent Systems

Day 13 – Single-agent Vs Multi-agent Systems

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Day 12 – Reflection & Self-correction In Agents

Day 12 – Reflection & Self-correction In Agents

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Day 11 – Multi-step Reasoning & Task Decomposition

Day 11 – Multi-step Reasoning & Task Decomposition

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Day 10 – Memory In Agents (short-term Vs Long-term)

Day 10 – Memory In Agents (short-term Vs Long-term)

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Day 9 – Tool Calling Explained (apis, Databases, Browsers)

Day 9 – Tool Calling Explained (apis, Databases, Browsers)

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Day 8 – Planning In Agents (re Act, Plan-and-execute)

Day 8 – Planning In Agents (re Act, Plan-and-execute)

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Day 7 – Popular Agent Frameworks (lang Graph, Crew AI, Auto Gen)

Day 7 – Popular Agent Frameworks (lang Graph, Crew AI, Auto Gen)

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Day 6 – Real-world Agentic AI Use Cases (2026 Snapshot)

Day 6 – Real-world Agentic AI Use Cases (2026 Snapshot)

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Day 5 – Agentic AI Vs Traditional Automation (rpa)

Day 5 – Agentic AI Vs Traditional Automation (rpa)

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Day 4 – What Makes An Agent “autonomous”?

Day 4 – What Makes An Agent “autonomous”?

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Day 3 – Core Components Of An AI Agent

Day 3 – Core Components Of An AI Agent

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Day 2: LLM vs Agent – What’s the Real Difference?

Day 2: LLM vs Agent – What’s the Real Difference?

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Day 1: What is Agentic AI?

Day 1: What is Agentic AI?

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Building Knowledge Through Quizzes – Join Me On QuizMaster! ✨

Building Knowledge Through Quizzes – Join Me On QuizMaster! ✨

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Document Localization Studio

GitHub Copilot CLI Challenge Submission

Document Localization Studio

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