General Overview - The document is Postman's Playbook [1]

AI and API Development - The industry is entering an era where every website and API must be "Agent-ready" [1][2] - 89% of developers use AI daily, but only 24% design APIs with AI agents in mind [2] - APIs must be well-documented for Agents to easily learn about them, including endpoints, parameters, data, and error recovery [3] Postman's Solution - Postman's AI-ready APIs Playbook emphasizes the importance of machine-readable documentation that stays in sync with the schema [2] - Postman's Agent Mode automatically generates detailed, contextual documentation for APIs based on request/response examples and usage patterns [4] - Postman's platform allows for designing, documenting, publishing, and monitoring APIs that both humans and agents can use reliably [5] Future Implications - Agents will increasingly make purchases, find the best options, and fill out job applications, replacing human roles [6] - Predictable structures, machine-readable metadata, and standardized behavior are crucial for AI-ready APIs [7] - Agents using APIs should not be guessing; everything should be documented for both humans and machines [5]

LLM Engineering Skills - LLM Engineering 需要掌握 8 项关键技能 [1] - 行业提供免费/开源资源以掌握这些技能 [1]

That's a wrap!Over to you: What other LLM development skills would you add?If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):8 key skills to master LLM Engineering:(free/open-source resources below) https://t.co/kG8qQ6asAB ...

AI Engineering Skill - Context engineering is rapidly becoming a crucial skill for AI engineers [1] - It's about the systematic orchestration of context, not just clever prompting [1] Context Engineering Workflow - The demo provides more information about what context engineering actually means [1] - Let's build a context engineering workflow, step by step [1]

LLM Engineering Skills - Highlights 8 key skills to master LLM (Large Language Model) Engineering [1] - Provides free/open-source resources for learning these skills [1]

AI Engineering Projects - The industry highlights 9 real-world MCP (presumably Machine Comprehension and Planning) projects for AI engineers [1] - These projects are accessible via a GitHub repository [1] Project Types - The projects cover areas like RAG (Retrieval-Augmented Generation), Memory, MCP client, Voice Agent, and Agentic RAG [1] - The "and much more!" suggests the repository contains additional project types beyond those explicitly listed [1]

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs. ...

GitHub repo: https://t.co/rqVrQGaKAG(don't forget to star it ⭐ ) ...

9 real-world MCP projects for AI engineers covering:- RAG- Memory- MCP client- Voice Agent- Agentic RAG- and much more!Find them in the GitHub repo below. https://t.co/oXp4PmxvYB ...