6 Ways to Manage State in Flutter Apps (With Code Examples)
How to manage state in Flutter
In this article, we’ll explore six popular ways of managing state in Flutter apps, including real examples and best practices:
How to manage state in Flutter
In this article, we’ll explore six popular ways of managing state in Flutter apps, including real examples and best practices:
Step-by-step example
Here we have a Python Lambda example of SQS Message Processor + REST API with API Key Protection + Terraform script to deploy it for serverless execution.
+ Specific Examples Using Thinking LLMs
In this post, we’ll explore two ways to connect your Python application to Ollama: 1. Via HTTP REST API; 2. Via the official Ollama Python library.
How to develop Amazon Alexa Skill - instructions.
In this article, we’ll take a deep dive into Alexa skill development, testing, and publishing. We’ll also cover design principles, technical considerations, and best practices to ensure your skill provides an engaging and natural user experience.
Slightly different APIs require special approach.
Here’s a side-by-side support comparison of structured output (getting reliable JSON back) across popular LLM providers, plus minimal Python examples
A couple of ways to get structured output from Ollama
Large Language Models (LLMs) are powerful, but in production we rarely want free-form paragraphs. Instead, we want predictable data: attributes, facts, or structured objects you can feed into an app. That’s LLM Structured Output.
Quick reference to postgresql
A quick reference for day‑to‑day PostgreSQL work: connections, SQL syntax, psql meta-commands, performance, JSON, window functions, and more.
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).
A practical, code-heavy look on ORMs in GO
Most prominent ORMs for GO are GORM, Ent, Bun and sqlc. Here is a little comparison of them with examples of CRUD operations in pure GO.
And deploying new Telegram bot to AWS
Here are my notes with step-by-step tutorial on how to implement and deploy to AWS a Telegram bot. I’ve added a quick start (long polling) and a production-ready path (webhooks), with examples in Python and Node.js.
Installing, running, types, classes, all the basics
Here is my concise TypeScript cheatsheet covering key concepts, syntax, and code examples commonly referenced by developers:
Description, plans commands list and keyboard shortcuts
Here is an up-to-date GitHub Copilot cheat sheet, covering essential shortcuts, commands, usage tips, and context features for Visual Studio Code and Copilot Chat
Comparison of software engineering tools and languages
The Pragmatic Engineer letter published a couple days ago survey statistics of the popularity of programming languages, IDEs, AI tools and other data for mid-2025.
Longread about MCP scpecs and implementation in GO
Here we have a description of The Model Context Protocol (MCP), short notes on how to implement an MCP server in Go, including message structure, protocol specifications.
Nice framework for ETS/MLOPS with Python
Apache Airflow is an open-source platform designed to programmatically author, schedule, and monitor workflows, - entirely in Python code, offering a flexible and powerful alternative to traditional, manual, or UI-based workflow tools.
Good things about Python uv
Python uv (pronounced “you-vee”) is a modern, high-performance Python package and project manager written in Rust. It is designed as a drop-in replacement for traditional Python package management tools such as pip, pip-tools, virtualenv, pipx, and pyenv, aiming to simplify and accelerate Python development workflows