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Hey fellow devs, I used to love GitHub. Back when it felt like the internet's code playground — free public repos, smooth collaboration, no corporate overlord breathing down our necks. Now? It's just another Microsoft product designed to extract every drop of value from us while giving us AI slop an
The call to action, “to make 2026 the year of Java in the terminal,” was quickly responded to by the launch of TamboUI. Inspired by Ratatui, the library used in Claude CLI, it promises support ranging from low-level terminal drawing to high-level APIs such as components and event handling. Currently
A few days ago, I shared MediTrack — a hospital management system I built with Laravel to manage doctors, patients, appointments, prescriptions, and lab tests. 🏥💻 While building it, I realized something important: Laravel starts making a lot more sense when you stop only watching tutorials and sta
For years, software development had a fairly clear progression. Junior developers focused on syntax and implementation. Senior developers designed systems. Architects made the bigger technical decisions — scalability, integrations, platform strategy, security, performance, and long-term maintainabil
Cursor 3 ships parallel AI agents. Here is the multi-agent workflow that actually works. On April 2, 2026, Cursor shipped version 3.0 and called it "a unified workspace for building software with agents." The headline feature is the Agents Window: a sidebar that shows every active agent session, loc
BoxAgnts' middle layer — the Agent Toolbox — is the brain and hands of the system. It consists of six core modules responsible for three things: understanding your intent, dispatching the right tools, and feeding back execution results. This article takes a deep dive into the architectural design an
Microservices Patterns: A Practical Guide to Choosing the Right Architecture Most teams don't fail at microservices because the pattern is wrong. They fail because they adopted all the patterns at once, before they understood which problems each one was actually solving. I've watched teams ship a se
GitHub quietly crossed an important line this month: Copilot cloud agent tasks can now be started through a REST API. That sounds like a small product update. Another endpoint. Another preview feature. But I think this is one of those boring-looking changes that tells you where the whole category is
**Cursor vs JetBrains Rider for C#/.NET in 2026: which to pay for The wrong question (and the right one) Search the .NET subreddit on any given week and you'll find a thread titled something like "Should I drop Rider for Cursor?" The answers split into two camps: "Cursor is the future, Rider is dyin
Introduction Learn how to create a dotnet Global Tool that lists all NET Core Frameworks with release and end-of-life information. 💡 For my other article on creating various dotnet tools see C# .NET Tools with System.CommandLine. This tool is extremely simple: unlike most tools, there are no requir
I’ve been thinking a lot about a failure mode in AI-assisted development that does not fit neatly into “bad code” or “bad prompting.” The agent can be useful. And the repo can still become less trustworthy. Most AI coding conversations still orbit the agent itself: How do we improve its context? How
🚀 Recently, I started building my own Cursor rule set for creating .NET Core Background Worker projects. The goal is simple: Now, every new Worker Service automatically includes: One rule that made a huge difference 👇 Do not consider the project complete unless Dockerfile and .dockerignore are cre
You hit "Submit Order" and the network drops mid-request. Did the charge go through? Should you retry? Without idempotency keys, you're gambling — and your users are the ones losing money. Idempotency is the property that making the same request multiple times has the same effect as making it once.
I think AI is starting to fundamentally change what strong engineering looks like. And honestly, I don’t think the biggest shift is coding speed. It’s ownership. Because writing code is becoming dramatically cheaper. But deeply understanding the problem, the customer, the tradeoffs, the scope, and w
A developer stares at a red CI. They have two options: the test is wrong, or the code is wrong. They pick one in less than a second. It's a prior they almost never name. A week ago I wrote a rule for myself: when a validator complains about the same failure twice, fix the validator. Two days ago the
One of the strange things happening right now is that people can suddenly build surprisingly useful software with AI. Founders are building internal tools with Claude. PMs are prototyping workflows in a weekend. Small teams are generating working features faster than organizations can even review th
Let me be brutally honest with you. I've seen teams demo AI agents that look incredible — smooth responses, beautiful UI, stakeholders impressed. Then that same team ships to production and spends the next three weeks firefighting hallucinations they could have caught in testing. The problem isn't t
Why should software even have fixed interfaces anymore? Last week, Google announced new “Generative UI” capabilities for Search — dynamically generating interfaces, visual tools, simulations, and layouts in real-time as part of the answer itself. And honestly, the demos are impressive. If AI can gen
If you let Claude Code, Cursor, Devin, Aider, Copilot, or any other coding agent open PRs against your repo, you already know the problem. The diff looks fine on a fast read. CI is green. You merge it. A week later you find the test that "passed" got deleted, or the error handling is a silent catch
The dotfiles piece from May 22 named hooks as one component of a personal AI stack and moved on. They deserve more than a passing mention. Hooks are the primitive that turns taste into code — the editor's auto-format-on-save for AI work, run on the agent's actions instead of yours. Anthropic's hooks
