Hey I am on Medialย โขย 1y
Building AI agents is 5% AI, 100% engineering: 1. Integrate seamlessly with existing systems. 2. Enable human-AI collaboration. 3. Ensure reliability in production. 4. Design for real-world scale. 5. Monitor continuously. Your AI is only as strong as the engineering behind it.

Startups | AI | info...ย โขย 9m
So much free value by OpenAI, Anthropic, and Google. These might be the best guides on: - Prompt Engineering - Building Agents - AI integration strategies - Working with AI 1. Prompting Guide by Google https://services.google.com/fh/files/misc
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Code Crafted with Cu...ย โขย 1y
Exploring the frontiers of innovation: AI isn't just transforming industries; it's reshaping our understanding of human potential. As we integrate more advanced AI technologies, the boundaries between digital and physical blur, promising a future whe
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Automated code quality assurance should be integrated at the architectural level to reduce defects, boost productivity and collaborationโover 50% of software project failures are linked to poor code quality. Design choices like microservices and even
See MoreBuilding an AI eco-s...ย โขย 1y
๐ AI in 2025: The Next Big Shift As we enter 2025, the AI landscape is undergoing a profound transformation. Here are four key trends shaping the future: 1๏ธโฃ Memory Management Becomes Critical: AI systems that can retain and adapt based on past in
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Founder and CEO - AI...ย โขย 10m
Is AI reshaping the world of software engineering? The distinction between AI and traditional software engineering is becoming clearer. Software engineering now goes beyond writing codeโit encompasses designing robust software systems and architectu
See Moreextraordinary is jus...ย โขย 9m
Every day you skip reading this book = a missed opportunity. AI Engineering by @chipro is gold: โข Build with LLMs โข RAG & agents โข Dataset engineering โข Evaluation metrics that matter This isnโt just theory. Itโs how to build. #AI #LLM #RAG #Tec
See MoreFounder | Agentic AI...ย โขย 1m
Most people miss these principles while building AI agents. Iโve explained everything that you should keep in mind. 1. Never run an agent without clear context. 2. Define who the agent is and what it is responsible for. 3. Always log inputs, action
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