Archive - CodeCut Newsletter

Quick Tips: CloakBrowser - Make Browser Automation Look Real

Plus override deps without side effects in uv

Aug 6 • CodeCut

Build a Private Email Q&A System with Local and Cloud LLMs

Build a local-first email Q&A workflow: redact PII with GLiNER, retrieve with ChromaDB, score answers with DeepEval, escalate hard queries to GPT-4o.

Aug 4 • CodeCut

July 2026

Quick Tips: CLI-Anything - Turn Any Desktop App into an Agent-Ready CLI

Plus make AI coding replies cheaper with Caveman

Jul 30 • CodeCut

Loguru: Simple as Print, Powerful as Logging

Loguru simplifies Python logging with zero boilerplate. Learn to format logs, rotate files, and capture rich exception tracebacks in one library.

Jul 28 • CodeCut

Quick Tips: Vulture - Scan Python Projects for Dead Code

Plus pack repos into AI-ready context

Jul 23 • CodeCut

Implement Semantic Search in Postgres Using pgvector and Ollama

Build semantic search in PostgreSQL with pgvector and Ollama. Store embeddings, query similar chunks, and generate RAG answers locally.

Jul 21 • CodeCut

Quick Tips: Understand Anything - Turn Codebases into Knowledge Graphs

Plus give coding agents Drive access with gws

Jul 16 • CodeCut

Transform Any PDF into Searchable AI Data with Docling

Transform complex PDFs into RAG-ready data with Docling. Learn to build complete document processing pipelines for AI applications in just 10 lines of…

Jul 14 • CodeCut

Quick Tips: PySpark - Write Reusable SQL Queries Without Hardcoding Values

Plus git revert vs reset, explained

Jul 9 • CodeCut

langextract vs spaCy: AI-Powered vs Rule-Based Entity Extraction

Extract company names, financials, and executives from business documents automatically. Compare 4 NER approaches from regex to AI models.

Jul 7 • CodeCut

Quick Tips: PydanticAI - Control OpenAI Data Retention with openai_store

Plus read an entire CSV folder with DuckDB

Jul 2 • CodeCut

June 2026

pandas vs Polars vs DuckDB: A Data Scientist’s Guide to Choosing the Right Tool

Compare pandas, Polars, and DuckDB for data analysis. Learn when to use each tool based on data size, performance needs, and workflow preferences.

Jun 30 • CodeCut

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