2423 related articles

Supapool uses pool prewarming to create isolated Supabase database instances in 400ms for AI coding agents like Claude, Cursor, and Devin, solving the database isolation challenge.
GitHub Daily · July 24: Agentic Tools …
GitHub Trending July 24: Agentic capabilities go from concept to standard, with Instatic and Chat2DB embedding AI deeply into CMS and database clients.
GitHub Daily · July 24: Agentic Tools …
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.
TutorialsSupabase's experiments show how MCP+Skills solve security gaps when AI agents operate databases, with three key principles for writing effective Agent Skills.
Product ReviewsBitfield is a high-performance plugin runtime database for AI Agents with sub-nanosecond state reads, offline-first design, and event replay capabilities.
Tech FrontiersSimon Willison releases Datasette Agent, combining LLM with Datasette to enable natural language database queries, plugin extensions, and local model support for personal data analysis.
Product ReviewsDeep dive into Aix-DB: an open-source multi-agent framework using LangChain/LangGraph and MCP protocol for natural language to SQL, data analysis, and visualization.

Explore why general AI agents are essentially coding agents. From Turing completeness to composability and verifiability, discover the paradigm shift from Function Calling to Code as Action.

Deep dive into domain security architecture for self-hosted services: Should services with different exposure levels use separate domains or subdomains? Analysis of subdomain enumeration risks, defense in depth, and practical isolation strategies.

GitHub trending Aug 1: ByteDance's deer-flow SuperAgent, Microsoft's GenAI course, 3D generation, voice cloning, and privacy-first tools shape the AI landscape.

A complete guide to building a local private AI assistant with Ollama and Qwen-Agent. Covers RAG knowledge integration, voice interaction, and permission isolation for a secure local AI Agent architecture.

What happens when AI agents are tasked with running a real company? This analysis examines agent performance, critical shortcomings, and practical enterprise deployment advice.

Decoding signals like "frontiermogging" to analyze upcoming AI frontier model leaps, Agent automation deployment, and developer ecosystem expansion trends.

A developer shares their real experience with Composer 2.5, from budget pick to daily go-to. Deep comparison with Sonnet 5 in debugging scenarios reveals the gap between benchmark scores and real productivity.

A developer shares their real experience with Composer 2.5, from budget pick to daily driver. Deep comparison with Sonnet 5 in debugging scenarios reveals the gap between benchmark scores and real productivity.

A deep dive into building and self-hosting a code review AI Agent from scratch, covering architecture design, context management, model selection, and noise control.

AI Doomers warn AI will destroy humanity, but have they actually built AI apps? A developer's sharp critique reveals the vast gap between AI demos and real engineering practice.

Orca-Bench is a benchmark for evaluating AI agents' operational capabilities, testing LLMs on fault diagnosis, multi-tool orchestration, and risk decisions in simulated Oncall scenarios.

Exploring tiling window management for multi-agent AI conversations: how it solves parallel monitoring and observability challenges, real-world limitations, and the evolution from chat boxes to control consoles.

A user burned over 14,000 Perplexity Computer credits building an AI Agent workflow with zero output. We break down the three fatal flaws and the Claude+OpenAI workaround.