Home on Anton Sizikov

In my day-to-day work I spend quite a lot of time talking to engineers about AI coding agents.

So you’ve set up content exclusion rules for your GitHub Copilot.

Building custom agents for GitHub Copilot (or any other AI assistant for that matter) sounds fun until you hit the reality of testing them.

Let’s talk about Agent Skills.

Throughout 2025, I’ve been experimenting with various ways to organize my development workflow with coding agents, trying to maximize the satisfaction of shipping a product while minimizing the human effort required to get things done.

We’re approaching the end of 2025, this has been a year of agents, for sure.

Introduction Since GitHub released the Copilot usage metrics dashboard and API in public preview back in October, I’ve been spending a lot of time helping enterprise administrators understand Copilot’s impact using these metrics.

So, you’ve got an idea of a new app or a web site, that you wish to build with GitHub Copilot.

Have you ever struggled with GenAI tools generating incorrect or unusable code for your internal SDK or API?

Common Misconceptions about GitHub Actions The other day, I was working with a customer who was planning a migration from JetBrains TeamCity to GitHub Actions.

GitHub Container Registry is a great service.

I’ve spent Saturday evening working on a small project.

A recent request from a customer caught my attention.

TLDR Today I’m going to talk about self-hosted build agents.

WSL2 on Windows 10 has some issues, but I still prefer it to run my docker containers locally.

In this post, I’m going to configure the continuous delivery process for Azure WebApp (Azure Function in this case, but that’s pretty much the same) with Octopus Deploy.

GitHub Container Registry was introduced on the 1st of September 2020.

Today we’re going to set up a CI/CD GitHub Action with a Container Structure Test step which will help us to enforce the certain quality policies for the images which we build and ship.

Local development of C# Azure Functions on macOS is still a bit painful.

My current project has reached the point where we have to manage our infrastructure in a more organized way rather than ad-hoc manual configurations.

In this post, I’m going to show how to marry SQL Operations Studio running on macOS with MS SQL Express running on Windows VM in Parallels.

Well, probably you are not, but let me grumble a little bit anyway.

Recently I took latest changes from git, merged dev to my current branch and decided to run few integration tests.

I’ve been doing code reviews on a daily basis for several years for now.

I’ve changed a job last month and had to build up my dev environment from scratch again.

Frankly when I first saw that C# 7 will come with new local functions I thought that that’s just a nice and a compact way of defining local helpers.

It’s hard to imagine modern development without continuous integration and unit-tests.

Last week my twitter feed exploded with lots of entries about Microsoft //Build 2016 conference.

This is a long title.

Look at all those famous people committing to some random developer’s boring repository.

It’s very important to collect and track as much information as you can about your system.

I use different accounts and different computers to work with GitHub repositories, so sometimes I face the situation when I don’t have my SSH key generated for the current environment.

Hi, ReSharper is doing a great job when it comes to semantics of your code and control flow graph analysis.

Hi, In the previous post I told you how to implement the Reactive API client with caching.

There is a tendency in a .NET world to build asynchronous CPU-bound or I/O-related API.

Hi, Today I want to talk about the development of the api client library.

In my previous post, I’ve described how to create your own Live Templates for ReSharper.

Hi!

The repository pattern is being blamed quite often.

I’m not sure if I can be more hipster, but now I have a blog which is hosted by GitHub Pages and served by Jekyll.