Harness Engineering Explained in Telugu | AI Engineers Ki New Skill in 2026
Withmesravani_
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Harness Engineering Explained in Telugu | AI Engineers Ki New Skill in 2026
32 164 просмотра · 4 нед. назад
Withmesravani_
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32 164 просмотра · 4 нед. назад
AI models are becoming extremely powerful. GPT, Claude, Gemini lanti models code rayagalavu, bugs identify cheyyagalavu, APIs call cheyyagalavu, tests run cheyyagalavu and even complete applications build cheyyagalavu.
But one important question:
Powerful AI model unte saripothunda? 🤯
Not really.
AI Agent real-world lo reliably work cheyyalante, model chuttu context, tools, permissions, execution, verification, feedback loops, memory, observability, security and human approval lanti systems design cheyyali.
Daanine Harness Engineering antaru.
Ee video lo simple Telugu + English lo explain chesina topics:
✅ Harness Engineering ante enti?
✅ AI Model vs AI Agent + Harness
✅ Prompt Engineering vs Context Engineering vs Harness Engineering
✅ AI Agents ki Tools & Permissions enduku important?
✅ Sandbox & Security
✅ Agent Execution Loop
✅ Verification & Testing
✅ Feedback Loops
✅ Memory & State
✅ Observability
✅ Cost & Performance
✅ Human-in-the-Loop
✅ Architecture Constraints
✅ AI Coding Agent real-world example
✅ Software Engineers role ela change avuthundi?
✅ Harness Engineer avvalante em nerchukovali?
Simple ga remember cheskondi:
Prompt = Instructions
Context = Information
Harness = Environment + Control + Execution + Verification
The future may not only be about who has the best AI model — it may also be about who builds the best environment around that model.
🚀 If you're learning AI Engineering, AI Agents, Automation, Coding or DevOps, this concept is definitely worth understanding.
📲 Follow @withmesravani_ for more advanced AI concepts explained in simple Telugu.
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⚠️ DISCLAIMER:
This video is created for educational and informational purposes only. AI models, agent frameworks, tools and engineering practices are continuously evolving. The examples and explanations are simplified to make complex concepts easier to understand. Always validate architecture, security, permissions and implementation decisions against your specific production requirements and the latest official documentation.
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