#database scaling
405 related articles
·3 min
How to Prepare for Technical Interviews: Practical Strategies for Tackling Open-Ended System Design Questions
Anxious about open-ended system design questions in tech interviews? Learn what interviewers really evaluate, plus practical strategies including structured frameworks, the Feynman Technique, and mock practice.
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·3 min
MCP-Builder.ai: A Managed Platform for Building AI Data Connectors in Minutes Using Natural Language
MCP-Builder.ai lets developers build, host, and secure MCP Servers using natural language, connecting databases, APIs, and apps to Claude, ChatGPT, and Cursor in minutes.
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·2 min
Qencode MCP: Using Natural Language to Drive AI-Powered Video Transcoding and Processing
Qencode MCP integrates cloud video processing into the AI Agent ecosystem via Model Context Protocol, enabling natural language-driven video transcoding, analysis, editing, optimization, and delivery.
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·3 min
How to Become an AI Developer? A Systematic Beginner's Roadmap
A complete learning roadmap to become an AI developer from scratch: covering Python basics, math foundations, ML/DL core concepts, LLM application development, and hands-on project experience.
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·2 min
Semantica: The Open-Source Reasoning Engine That Creates Complete Evidence Chains for AI Decisions
Semantica is an open-source deterministic reasoning engine that builds complete evidence chains for AI decisions using knowledge graphs and W3C PROV standards, with 6000x query acceleration and self-hosted deployment for regulated industries.
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·3 min
MCP Memory: A Lightweight AI Agent Memory Solution Built with SQLite
Deep dive into the MCP Memory open-source project: how SQLite FTS5 and Google OKF enable persistent AI agent memory without vector databases—zero dependencies, minimal cost.
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·3 min
Bookshelf: A Guide to Building a Self-Hosted E-Book Library on Object Storage
Bookshelf is a self-hosted e-book management tool built on object storage, supporting S3/MinIO protocols with unlimited scalability and high data reliability.
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·2 min
Navigara: Precisely Aligning AI Coding Spend with Your Product Roadmap
Navigara is an AI R&D cost governance tool that attributes AI coding spend to product roadmap items, isolates wasteful consumption, and reduces costs through intelligent model routing.
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·2 min
HG-ESR-NET: Modernizing the Real-ESRGAN Open-Source Super-Resolution Tool
HG-ESR-NET modernizes Real-ESRGAN by fixing dependency issues and adding OpenModelDB model support, making this classic image super-resolution tool work smoothly in modern environments.
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·2 min
OpenHuman: Building a Local-First Personal AI Super Brain with Rust
OpenHuman is an open-source personal AI project built with Rust, featuring local-first memory architecture, multi-agent orchestration, and deep research capabilities. With over 36,500 GitHub stars, it aims to return AI power to individuals while keeping data local.
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·5 min
The $60 Billion Cursor Acquisition: Birth and Deep Dive into the AI Programming Operating System
SpaceX acquires Cursor for $60B. How did this AI coding tool evolve from a VS Code fork into a software development operating system? Deep analysis of Agent orchestration, Origin hosting, and model strategy.
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·3 min
Does ML Deployment Always Require Dockerization? A Practical Guide to Containerization
A practical guide to containerization in ML deployment: which components need Docker and which don't? Progressive containerization advice from ingest scripts to model serving.
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·2 min
Google Releases Three Gemini Flash Models: AI Competition Enters the Cost Era
Google released Gemini 3.6 Flash, Flash Cyber, and Flash Lite—three new models cutting token costs by 17%. AI competition shifts from intelligence to affordability.
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·5 min
From AI to Large Models: Understanding the Conceptual Landscape and Technological Evolution of Artificial Intelligence
Understand how AI, machine learning, deep learning, large models, and generative AI relate to each other. From Deep Blue to ChatGPT, learn how Transformer architecture gave rise to LLMs.
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·4 min
Build or Buy LLM Infrastructure? A 7-Month Hands-On Retrospective Reveals the Hidden Costs
A 7-month retrospective on building LLM infrastructure from scratch: hidden costs of routing, fallback, evals, and a comparison of orq.ai, LangSmith, Helicone, Portkey, and LiteLLM.
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·3 min
MLOps Hands-On Project: A Complete End-to-End Breakdown of Building a Laundry Care Recognition System
A detailed walkthrough of building an end-to-end MLOps laundry care recognition system, covering automated data collection, model retraining, Docker containerization, AWS deployment, and Grafana+Prometheus monitoring.
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·2 min
Building a 500K Domain Search Engine for $10: Lessons from an Indie Developer's Weekend Project
An indie developer built a 500K domain vertical search engine in one weekend for $10. We analyze the tech stack, vertical search opportunities, and rapid validation methodology.
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·3 min
AI Cyber Offense and Defense Capabilities Approaching a Critical Threshold: Should We Slow Down Model Development?
AI models' cyber capabilities are nearing critical thresholds, able to autonomously find vulnerabilities and execute attack chains. We analyze the debate between slowing development and accelerating defense.
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·2 min
Building a Search Engine for 1.7 Million arXiv Papers with Python
A developer built a mini search engine for 1.7M arXiv papers using pure Python with FastAPI + Streamlit. This article analyzes its architecture, inverted index design, and improvement directions.
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·3 min
Free Machine Learning Roadmap: A Systematic Learning Path Based on Official Microsoft Content
A free machine learning roadmap based on Microsoft Learn's official content, covering ML core concepts, Python hands-on practice, Azure ML deployment, and MLOps for systematic learning from zero to production.
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