#database agent
1855 related articles
GitHub Daily · July 24: Agentic Tools …
·3 min
GitHub Daily · July 24: Agentic Tools Blossom Everywhere, from CMS to Databases Embracing AI
GitHub Trending July 24: Agentic capabilities go from concept to standard feature. Instatic and Chat2DB deeply integrate AI into CMS and database clients, while dive-into-llms remains the go-to Chinese LLM tutorial.
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GitHub Daily · July 24: Agentic Tools …
·3 min
GitHub Daily · July 24: Agentic Tools Blossom Everywhere, From CMS to Databases Embracing AI
GitHub Trending July 24: Agentic capabilities go from concept to standard, with Instatic and Chat2DB embedding AI deeply into CMS and database clients.
Read more →
Tutorials·3 min
Supabase Real-World Testing: How MCP+Skills Enable AI Agents to Safely Operate Databases
Supabase's experiments show how MCP+Skills solve security gaps when AI agents operate databases, with three key principles for writing effective Agent Skills.
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Tutorials·3 min
Andrew Ng's New Course: A Complete Guide to Building Database Agents
Deep dive into Andrew Ng's Building Your Own Database Agent course with Microsoft, covering LLM-SQL interaction, LangChain Agents, Function Calling, and RAG for tabular data.
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Product Reviews·1 min
Bitfield: A Sub-Nanosecond State Access Plugin Runtime Database for AI Agents
Bitfield is a high-performance plugin runtime database for AI Agents with sub-nanosecond state reads, offline-first design, and event replay capabilities.
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·2 min
Google's Beyond Zero: An Enterprise Security Framework That Goes Beyond Zero Trust for the AI Era
Deep dive into Google's Beyond Zero security concept, exploring how enterprises can move beyond traditional Zero Trust models in the AI era to address prompt injection, data poisoning, and other emerging threats.
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·2 min
Three Major Updates to Gemini API Managed Agents: Free Tier, Cost Controls, and Scheduled Triggers
Google Gemini API Managed Agents launches three key updates: Free Tier for universal access, Cost Controls for budget safety, and Scheduled Triggers for automated execution.
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·3 min
Kimi K3 Hands-On Tutorial: Claude Code Sub-Agent Configuration & GPT-5.6 Comparison Test
Complete guide to configuring Kimi K3 as a Claude Code sub-agent, including API setup, YFlow workflow building, and head-to-head comparison with GPT-5.6 and Claude Fable 5.
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·4 min
Harness Engineering: The Core Infrastructure for Taking AI Agents from Demo to Production
Deep dive into Harness Engineering: why AI Agents need memory management, durable execution, guardrails & approvals to go from demo to production.
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·4 min
Harness Engineering: The Core Infrastructure for Taking AI Agents from Demo to Production
Deep dive into Harness Engineering: why AI Agents need memory management, durable execution, guardrails & approvals to reach production. Based on Scott Moss's workshop.
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·5 min
Loop Engineering Explained: The New Programming Paradigm Where AI Prompts Itself
Loop Engineering is a paradigm shift in AI usage. Learn how to build automated loops where agents explore, execute, and verify tasks autonomously, with a hands-on e-commerce case study.
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·6 min
Harness Engineering: From Context Engineering to the Third Phase of AI Programming
Explore Harness Engineering: the next evolution beyond context engineering for AI programming. Learn how to build enterprise-grade Skill systems and deliver real projects with mid-tier models.
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·5 min
Opus 5 Builds a No Man's Sky-Style Exploration Game in One Day: MCP and Sub-Agent Architecture Explained
A developer used Anthropic's Opus 5 model to build a No Man's Sky-style space exploration game in one day using Blender MCP and sub-agents. Deep dive into the technical architecture and industry implications.
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·4 min
LangChain Guardrails Explained: Building Safe and Controllable AI Agents
A detailed guide to LangChain Guardrails covering layered ecosystem architecture, middleware implementation, deterministic and model-driven protection for building production-grade secure AI Agents.
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·3 min
Deep Dive into Microsoft's AI Security Tools: Does Performance Really Surpass the Competition?
Microsoft launches enterprise AI security tools claiming superior performance. This deep analysis examines core capabilities, ecosystem advantages, and risks to guide enterprise security decisions.
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·4 min
OpenAI Employee Shares How to Build an AI Work Operating System with Codex
OpenAI's Jason Liu shares how he uses ChatGPT Workbench and Codex to build an AI work OS: Chief of Staff automation, persistent threads, Skills/Plugins, browser control, and app-building methodology.
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·3 min
Learning AI Large Language Models: A Complete Roadmap from Beginner to Practitioner
A systematic breakdown of the AI LLM learning roadmap covering prompt engineering, AI Agent development, RAG knowledge bases, model fine-tuning, and hands-on projects for beginners.
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·3 min
Practical Guide to Agent Development: The Complete Path from Zero to Commercial Deployment
A systematic guide to AI Agent development from beginner to deployment, covering task planning, tool calling, memory management, learning paths, and realistic commercial monetization considerations.
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·5 min
Learn AI Agent Development from Scratch: A 3-Step Practical Path to Get Started Quickly
How to learn AI Agent development from scratch? This article outlines a clear 3-step path: Python crash course, LLM theory & practice, and LangChain framework project implementation.
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·3 min
Backend Developer Transition to AI/LLM: 4 Core Skills and a Practical Learning Roadmap
Complete guide for backend developers transitioning to AI/LLM engineering. Covers the 4 core skills—Python, RAG, Fine-tuning, and Agents—with a phased learning roadmap and practical project advice.
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