Tag: llm

Aider offers interactive CLI-based pair programming with git awareness. Continue provides IDE-integrated AI assistance. Learn when to use each.

IDE-integrated AI coding with local LLMs. Set up Continue.dev + Ollama, pick models, configure chat & autocomplete, save money and keep code private.

Run embeddings on Postgres with pgvector. Skip Chroma/Qdrant, tune IVFFlat vs HNSW indexes, build RAG pipelines locally.

What is an AI harness? A plain-language answer, plus 21 of them grouped by job: Claude Code, Codex CLI, Kilo Code, Goose, OpenHands and DeepSeek Harness.

Free AI tiers are loans against a future price, paid in your data, your architecture, or your time. Here's the collateral to check before you build on one.

API vs self-hosted LLM cost reality, GPU TCO, privacy, latency, break-even math. When paying OpenAI/Anthropic wins. When local wins.

RAG beyond dense embeddings: BM25 lexical search, hybrid retrieval (RRF, weighted fusion), cross-encoder re-rankers (BGE, Cohere, Jina). When pure vector search fails.

Free LLM tiers usually die from bloated prompts, not stingy quotas. Context discipline, caching, tiering, batching, and backoff that triple your runway.

A capability map of what's free from AI providers in 2026: chat, APIs, image generation, speech tools, and coding help, with the real quotas.

Browser-Use and Skyvern let LLMs drive real browsers via natural language goals. Here's what they can actually do, where they break, and when Playwright is still the right call.

Llamafile bundles llama.cpp + Cosmopolitan libc into one portable binary that runs on Linux, macOS, Windows, and BSD with zero install.

DeepSeek V4 Flash 0731 hits 50 on the independent intelligence index at $0.14/$0.28 per million tokens. Same weights as the preview, redone post-training.