101 related articles

Skip the dry theory and get hands-on! This article demonstrates step by step how to build a working AI Agent from scratch in 30 minutes using AI coding tools—covering the agent skeleton, tool system, memory mechanism, Flask web UI, and DeepSeek API integration.

Deep dive into LangChain v1.3: compare LangChain, LangGraph, and DeepAgent paradigms, explore RAG pipelines, multi-agent systems, and local LLM deployment for enterprise AI apps.

Deep dive into SQLite STRICT tables: is flexible typing a feature or flaw? Covers the author's stance, type vs. validation debate, Turso alternatives, and best practices for type-safe database design.

Beat the Couch is a minimalist web game built with Claude that challenges you to outperform a buy-and-hold strategy using real S&P 500 history. 25,000+ plays prove market timers almost always lose to the couch.
Deep Dive into AI Agent Skill Design: …
A deep dive into Skill design philosophy from Anthropic's Claude Code team and Perplexity's Agent team, covering the Tax Test, Gotchas Flywheel, progressive disclosure, and Eval-First practices for building high-quality AI Agent skill systems.

A comprehensive look at Prisma ORM's core components and unique strengths: the type-safe Prisma Client, declarative migrations, visual Studio, and support for PostgreSQL, MySQL, MongoDB and more.

Andrew Ng partners with JetBrains to launch a Spec-Driven Development course, teaching how to direct AI coding agents via spec files to boost intent fidelity and build maintainable production apps.

A deep dive into the Claude Code source code, systematically analyzing the five-layer Harness Engineering architecture: environment, tool, control, memory, and evaluation. Build a stable runtime system for production AI Agents.

A complete guide to building a local AI coding agent on a 32GB Mac: Ollama for local inference, OpenCode as the agent framework, and MCP memory servers for cross-session context. Code stays on-device, no subscription fees.

Why did Craig Mod abandon Goodreads to build his own reading tracker? A deep dive into the motivations, benefits, and trade-offs of self-hosting, data sovereignty, and the IndieWeb movement.

A CS student built a multi-agent AI system with memory, 8 sub-agents, and real-time web research using only free infrastructure like Cloudflare Workers and GitHub Actions. Full breakdown inside.

Resonate's founder proposes "The Prompt is the Platform": as AI agents generate production-grade implementations from abstract specs, engineers' value shifts to specification. A deep dive into deterministic simulation and forbidden-fruit debugging.

Master LangChain from scratch: the three limitations of LLMs, init_chat_model unified interface config, the Message type system, and the path from LLM calls to Agent development.

Andrew Ng partners with JetBrains on a new course systematically teaching Spec-Driven Development. By writing high-quality specs, developers can precisely control AI coding agents, eliminate context decay, and boost intent fidelity.

An in-depth look at LangChain 1.3's core modules and DeepAgent architecture—covering the Harness philosophy, LangGraph internals, HITL, memory management, and guardrails to master production-grade AI Agent development.

Deep dive into how OSINT automation tools discover exposed files on domains, covering dictionary probing principles, attack surface management, bug bounty techniques, and compliance boundaries.

Microsoft's optional update KB5095093 fixes a Windows 11 bug where the CapabilityAccessManager.db-wal SQLite WAL file bloats to several GBs due to a failed checkpoint mechanism.

A plain-language guide to how Python web scrapers work: from HTTP requests and responses, HTML tag parsing, to the complete three-step data scraping workflow, with a focus on the three legal red lines and compliance advice.

An in-depth analysis of LangGraph's core concepts: short-term and long-term storage mechanisms, its differences from LangChain, the MIT open-source license, and private deployment solutions for enterprise Agent development.

Developer Simon Willison used Claude to ship sqlite-utils 4.0: 37 prompts, 34 commits, $149 API cost — revealing coding agents' real capabilities, cross-model review, and agentic engineering best practices.