Artificial Intelligence is reshaping how software is written, reviewed, deployed, and maintained. From AI coding assistants to GitOps automation and DevOps workflows, developers now rely on AI-powered tools across the entire software lifecycle.
Build workflows in Go with the Temporal SDK
Comparison of Chunking Strategies in RAG
Chunking is the most under-estimated hyperparameter in Retrieval ‑ Augmented Generation (RAG): it silently determines what your LLM “sees”, how expensive ingestion becomes, and how much of the LLM’s context window you burn per answer.
Master PDF text extraction with Python
PDFMiner.six is a powerful Python library for extracting text, metadata, and layout information from PDF documents.
Thoughts on LLMs for self-hosted Cognee
Choosing the Best LLM for Cognee demands balancing graph-building quality, hallucination rates, and hardware constraints. Cognee excels with larger, low-hallucination models (32B+) via Ollama but mid-size options work for lighter setups.
Python DI patterns for clean, testable code
Dependency injection (DI) is a fundamental design pattern that promotes clean, testable, and maintainable code in Python applications.
Master DI patterns for testable Go code
Dependency injection (DI) is a fundamental design pattern that promotes clean, testable, and maintainable code in Go applications.
Transform LaTeX documents to Markdown efficiently
Converting LaTeX documents to Markdown has become essential for modern publishing workflows, integrating static site generators, documentation platforms, and version control systems while maintaining readability and simplicity.
Type-safe reusable code with Go generics
Generics in Go represent one of the most significant language features added since Go 1.0. Introduced in Go 1.18, generics enable you to write type-safe, reusable code that works with multiple types without sacrificing performance or code clarity.
Python for converting HTML to clean, LLM-ready Markdown
Converting HTML to Markdown is a fundamental task in modern development workflows, particularly when preparing web content for Large Language Models (LLMs), documentation systems, or static site generators like Hugo.
Integrate Ollama with Go: SDK guide, examples, and production best practices.
This guide provides a comprehensive overview of available Go SDKs for Ollama and compares their feature sets.
Comparing Speed, parameters and performance of these two models
Here is a comparison between Qwen3:30b and GPT-OSS:20b focusing on instruction following and performance parameters, specs and speed.
Not very nice.
Ollama’s GPT-OSS models have recurring issues handling structured output, especially when used with frameworks like LangChain, OpenAI SDK, vllm, and others.
Using pandoc, python, or online tools for convertion to MD
Converting Word documents to Markdown format is a very common task for technical writers, developers, and content creators who want to move their content to platforms with Markdown (like GitHub, GitLab, static site generators like Hugo).
My favorite lib is pdf-reports
Generating PDF Reports Using Python
Python, with its extensive libraries and modules, offers powerful tools for generating professional PDF reports. This guide explores various methods to create PDF documents using Python, covering popular libraries like ReportLab, FPDF, Xhtml2pdf, WeasyPrint, Jinja2, pdf-reports and PdfKit.
LLM to extract text from HTML...
In the Ollama models library there are models that able convert HTML content to Markdown, which is useful for content conversion tasks.
