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Harness Engineering Explained in 20 Minutes 🤯 | The Future of AI Coding | Tamil

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Harness Engineering Explained in 20 Minutes 🤯 | The Future of AI Coding | Tamil

400 просмотров · 3 недели назад
Kishorelytics
631 подписчик
400 просмотров · 3 недели назад
What if the future of software engineering isn't just about writing better code, but about building the right environment for AI agents to write and improve code? In this video, we break down HARNESS ENGINEERING in just 20 minutes. You'll understand what Harness Engineering is, why it is becoming important in the era of AI coding agents, and how engineers can design the tools, context, workflows, and guardrails that help AI agents work effectively. In this video, you'll learn: What is Harness Engineering? Why did Harness Engineering emerge? How AI coding is changing software engineering What is the role of AI coding agents? Why giving an AI agent a prompt is not enough How context and tools influence AI agents How engineers build environments for AI agents The importance of workflows and automation Tools, feedback loops, and guardrails How Harness Engineering improves AI-assisted development How traditional software engineering is evolving with AI What skills developers need in the AI era Real-world perspective on Harness Engineering This video is designed to give you a clear understanding of Harness Engineering without unnecessary complexity. If you're learning: • AI Engineering • AI Agents • Agentic AI • Generative AI • AI-assisted coding • Software Engineering • LLMs • Developer Tools then this video will help you understand an emerging concept that is changing how we think about building software with AI. #HarnessEngineering #AIEngineering #AIAgents #AgenticAI #AICoding #CodingAgents #GenerativeAI #LLM #AI #ArtificialIntelligence #SoftwareEngineering #AIEngineer #GenAI #DeveloperTools #AIinTamil #TamilAI #MachineLearning #LLMEngineering #FutureOfCoding #Kishorelytics Everything is explained in Tamil with simple examples and practical explanations. Subscribe to Kishorelytics for more tutorials and deep dives into AI, Generative AI, AI Agents, LangChain, LangGraph, MCP, RAG, LLMs and modern AI engineering.