5 posts
What is model serving? A guide to the serving layer: from managed APIs to self-hosted inference servers like vLLM, TGI and Ollama; batching, streaming, concurrency, throughput and latency trade-offs.
What is Ollama? Ollama is an open-source tool that lets you download and run large language models on your own computer or server with a single command. This guide: a clear definition, how Ollama works, running LLMs locally, GGUF and the model library, hardware requirements, Ollama vs cloud API, and FAQs.
Aider — terminal-native, open-source (Apache 2.0) AI pair programming tool. Git-aware (auto-commit), BYO API key (Claude/GPT-5/Gemini/DeepSeek/Ollama local), 100+ languages, voice input. Zero-to-advanced Turkish guide: install, /add /drop /diff commands, model selection, repo map (tree-sitter), git workflow, local Ollama KVKK setup, comparison to Claude Code/Cursor, 10 use cases + typical costs.
Detailed head-to-head of three main open-source AI coding plugins: Cline (formerly Claude Dev, most popular open-source agent), Roo Code (Cline fork, more flexible), Continue (most mature open-source plugin). VS Code/JetBrains compatibility, BYO API key (Claude/GPT/Gemini/local Ollama), MCP integration, pricing (FREE plugin + API cost), practical use for Turkish developers, KVKK + self-host advantages, 10-scenario decision guide.
Detailed comparison of the three most powerful 2026 open-weight LLM families — DeepSeek (V3 + R1), Qwen (2.5 + 3), and Meta Llama (4). Architecture (MoE vs dense), benchmarks (MMLU, HumanEval, GSM8K), Turkish performance, license (MIT vs Apache vs Llama Community), cost (self-hosted vs API), hardware (VRAM, GPU), fine-tune friendliness, ecosystem (Hugging Face, vLLM, Ollama), KVKK / data sovereignty advantages. Use cases for Turkish enterprises.