#guide | BH

Free-Threaded Python Explained: Is the GIL Finally Going Away?

A clear, hype-free explanation of free-threaded (no-GIL) Python what the GIL is, what removing it does and does not change, the single-thread and C-extension trade-offs, and how to evaluate it.

Cover image for Python 3.14 for Real Projects: Free Threading, JIT, t-Strings, and Zstandard

1 week ago 227

Python Programming

Python 3.14 for Real Projects: Free Threading, JIT, t-Strings, and Zstandard

What actually matters in Python 3.14 for production officially supported free-threaded builds, the experimental JIT, t-strings for safe interpolation, stdlib Zstandard, and a low-risk adoption plan.

Cover image for The AI App Stack in 2026: Models, Tools, Queues, Vector Stores, and Observability

2 weeks ago 171

AI Architecture Programming

The AI App Stack in 2026: Models, Tools, Queues, Vector Stores, and Observability

An architecture map of a production AI application in 2026 model gateway, orchestration, queues and workers, the vector/cache/database data layer with the decisions that matter at scale.

Cover image for AI Coding Assistants: How to Use Them Without Destroying Code Quality

3 weeks ago 145

AI Programming

AI Coding Assistants: How to Use Them Without Destroying Code Quality

An opinionated guide to using AI coding assistants without wrecking your codebase where they shine, where they hurt, review discipline, quality, security pitfalls, and team norms that prevent AI debt.

Cover image for RAG Is Not Just Search: Chunking, Ranking, Reranking, and Hallucination Control

3 weeks ago 161

AI Programming

RAG Is Not Just Search: Chunking, Ranking, Reranking, and Hallucination Control

Go beyond naive vector search chunking strategies, hybrid keyword+semantic ranking with RRF, cross-encoder reranking, context assembly, and layered hallucination control, with each change helps.

Cover image for Building a Private RAG System: Architecture, Embeddings, Vector DBs, and Evaluation

4 weeks ago 176

AI Databases Programming

Building a Private RAG System: Architecture, Embeddings, Vector DBs, and Evaluation

A full architecture walkthrough for a private, self-hosted RAG system ingestion, chunking, embeddings, vector databases and the evaluation loop that makes it trustworthy.

Cover image for Local AI in 2026: Ollama, vLLM, Docker Model Runner, and When to Use Each

1 month ago 312

AI Linux Programming

Local AI in 2026: Ollama, vLLM, Docker Model Runner, and When to Use Each

An honest comparison of local AI tooling in 2026 — Ollama for laptops, vLLM for high-throughput GPU serving, and Docker Model Runner for container-native models, with a decision framework and VRAM sizing advice.

Cover image for How to Secure AI Agents Against Prompt Injection and Tool Abuse

1 month ago 250

AI Programming

How to Secure AI Agents Against Prompt Injection and Tool Abuse

A defensive engineering playbook for AI agents understand direct and indirect prompt injection, then lock agents down with least privilege, human-in-the-loop gates, sandboxing, validation

Cover image for MCP Explained Without Hype: How AI Tools Connect to Apps and Data

1 month ago 255

AI Programming

MCP Explained Without Hype: How AI Tools Connect to Apps and Data

A plain-English technical guide to the Model Context Protocol, the problem it solves, hosts/clients/servers, tools vs resources vs prompts, transports, a minimal server, and when to adopt it.

Cover image for Ubuntu 26.04 LTS Server Setup for Developers: What Changed and What to Watch

1 month ago 629

Ubuntu Linux DevOps

Ubuntu 26.04 LTS Server Setup for Developers: What Changed and What to Watch

A developer-focused setup guide for Ubuntu 26.04 LTS servers a hardened baseline (SSH, firewall, unattended-upgrades), the kernel/runtime changes to watch versus 24.04, and a pre-migration checklist.