#SQLite test database
77 related articles
·4 min
Frontend Engineer Driven to Homelab by AI: From React Specialist to Full-Stack Self-Rescue
A 7-year frontend engineer, fearing AI-driven job loss, builds a homelab to learn Docker, databases, and networking. A pragmatic roadmap for developers building breadth in the AI era.
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·4 min
The Cursor Swarm Experiment: What AI Rebuilding SQLite from Scratch in Rust Reveals About Cost
Cursor's swarm experiment had AI teams implement a SQLite engine in Rust from scratch using only 835 pages of docs. All-frontier models cost $10K+, hybrid role division just $1.3K—a 7.9x gap.
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·3 min
Cursor + Claude in Action: Building a Python Student Management System from Scratch with AI
A step-by-step guide to building a Python student management system from scratch using the AI editor Cursor with Claude. Covers Agent, Ask, and Manual modes, model selection, and the full workflow.
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Notion Co-founder: From Note-Taking Tool to AI Agent Workspace
Notion co-founder Simon Last shares Notion's journey from note-taking tool to AI agent workspace: from first tasting GPT-4 to personal and custom agents.
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·4 min
Burning Through 80 Billion Tokens: Why Vibe Coding Is Doomed to Fail
A creator spent 40 days and 80 billion tokens testing the real limits of Vibe Coding. This article dissects why AI programming crashes in production: complexity, context limits, and compression loss.
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sqlite-utils 4.1 Released: The --code …
·7 min
sqlite-utils 4.1 Released: The --code Option, Type Overrides, and AI-Assisted Development in Practice
sqlite-utils 4.1 brings practical new features: the --code option for generating rows with Python, field type overrides fixing leading-zero ZIP codes, STRICT table mode switching, drop-index, and more. A deep dive into each design and the AI-assisted dev workflow.
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sqlite-utils 4.1 Released: The --code …
·7 min
sqlite-utils 4.1 Released: The --code Option, Type Overrides, and AI-Assisted Development in Practice
sqlite-utils 4.1 brings practical new features: the --code option for generating rows via Python, type overrides to solve ZIP-code leading-zero loss, STRICT table mode switching, drop-index, and more. A deep dive into the design and AI-assisted dev workflow.
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Build a Free Temporary Email Service: …
·2 min
Build a Free Temporary Email Service: An Open-Source Solution Based on Cloudflare
cloudflare_temp_email is a high-star open-source project that uses Cloudflare Workers, Pages, and Email Routing to build a zero-cost self-hosted temporary email system with IMAP/SMTP and Telegram support.
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·6 min
30-Minute Hands-On: Building a Working AI Agent from Scratch
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.
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·3 min
LangChain v1.3 Hands-On Tutorial: Deep Dive into Agents, RAG, and Local Model Deployment
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.
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·3 min
SQLite STRICT Tables Explained: The Type Enforcement Debate and Best Practices
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.
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·3 min
Building 'Beat the Couch' with Claude: Can You Outperform Doing Nothing?
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.
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Deep Dives
Deep Dive into AI Agent Skill Design: …
·3 min
Deep Dive into AI Agent Skill Design: Engineering Practices from Anthropic and Perplexity
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.
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·1 min
Prisma In-Depth: The Go-To ORM for Node.js and TypeScript
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.
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·6 min
Spec-Driven Development in Practice: The New AI Coding Paradigm from Andrew Ng × JetBrains
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.
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·4 min
Why Do AI Agents Crash the Moment They Go Live? A Practical Guide to Harness Engineering for Runtime
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.
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·3 min
Building a Local AI Coding Agent on Mac: A Complete Guide with Ollama, OpenCode, and MCP
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.
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·5 min
Building Your Own Reading Tracker: Craig Mod's Digital Garden and the Case for Data Sovereignty
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.
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Zero-Cost Multi-Agent AI System: A Complete Breakdown of the Free-Tier Build
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.
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·7 min
The Prompt is the Platform: How AI Agents Deeply Participate in System Design and Specification
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.
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