Dev

Oh My Opencode turns OpenCode into a multi-agent coding harness: an orchestrator delegates work to specialist agents that run in parallel.

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.

Airtable is best thought of as a low‑code application platform built around a collaborative “database-like” spreadsheet UI - excellent for rapidly creating operational tooling (internal trackers, lightweight CRMs, content pipelines, AI evaluation queues) where non-developers need a friendly interface, but developers also need an API surface for automation and integration.

OpenCode is an open source AI coding agent you can run in the terminal (TUI + CLI) with optional desktop and IDE surfaces. This is the OpenCode Quickstart: install, verify, connect a model/provider, and run real workflows (CLI + API).

Temporal is an open-source, enterprise-grade workflow engine that enables developers to build durable, scalable, and fault-tolerant workflow applications using familiar programming languages like Go.

Choosing the right browser automation stack and webscraping in Go affects speed, maintenance, and where your code runs.

Desktop launchers on Ubuntu 24 (and most Linux desktops) are defined by .desktop files: small, text-based config files that describe an application or link.

Choosing the right browser automation stack in Python affects speed, stability, and maintenance. This overview compares Playwright vs Selenium vs Puppeteer vs LambdaTest vs ZenRows vs Gauge - with a focus on Python, while noting where Node.js or other languages fit in.

Two strong options for building terminal user interfaces today are BubbleTea (Go) and Ratatui (Rust). One gives you an opinionated, Elm-style framework; the other a flexible, immediate-mode library.

This comprehensive guide provides background and a detailed comparison of Anaconda, Miniconda, and Mamba - three powerful tools that have become essential for Python developers and data scientists working with complex dependencies and scientific computing environments.

One of the most essential tools for Linux users is the terminal emulator.

PDFMiner.six is a powerful Python library for extracting text, metadata, and layout information from PDF documents.

When working with Large Language Models in production, getting structured, type-safe outputs is critical. Two popular frameworks - BAML and Instructor - take different approaches to solving this problem.

Managing Go projects effectively requires understanding how workspaces organize code, dependencies, and build environments.

A well-configured bash prompt displaying git repository information can dramatically improve your development workflow.

Structuring a Go project effectively is fundamental to long-term maintainability, team collaboration, and scalability. Unlike frameworks that enforce rigid directory layouts, Go embraces flexibility—but with that freedom comes the responsibility to choose patterns that serve your project’s specific needs.