TL;DR You can integrate Azure DevOps with GitHub to get the best of both worlds in Power Platform development. ADO stays as the backbone: work items, sprint planning, test plans, and deploy pipelines all remain on Azure DevOps. Code moves to GitHub: Power App Code Apps or Power Pages SPA live in GitHub repos, unlocking native GitHub Copilot integration and the Copilot Cloud Agent. The two platfo
GitHub Copilot just got a lot more complicated — and not in a good way. If you tried to sign up for Copilot Pro recently and hit a wall, that's not a bug. GitHub quietly paused new sign-ups for Copilot Pro, Pro+, and Student plans starting in late April 2026. No end date announced. No workaround offered. Just a message and a door that won't open. That alone would be worth covering. But they made t
Microsoft's 'Co-Authored-by Copilot' Tag: Unpacking the Strategic Play for AI Dominance in VS Code The persistent insertion of 'Co-Authored-by: Copilot' into commit messages within VS Code—often irrespective of GitHub Copilot's active contribution to specific changes—is far from a benign engineering detail. It represents a calculated, multi-faceted strategic maneuver by Microsoft, signaling a pr
What if your code editor could do keyword research, audit your SEO, and optimize your content for AI search engines — without leaving VS Code? I built a set of open-source agent skills that turn GitHub Copilot into a hands-on marketing strategist. Here's what I learned, how they work, and how you can use (or build) your own. The problem Open Ahrefs/Semrush → research keywords What if I could encod
The grey enemy and the friend to save me from it If you're a software developer and you are on GitHub, you already know what I'm talking about: the contribution graph. That public heatmap on your profile that tracks your every commit, PR, and review you've ever made. That grid of gray and green squares that (in some cases looks like a well maintained patch of grass) tells a story about your codi
GitHub Copilot is shifting to usage-based billing on June 1, 2026. If you've been relying on flat-rate pricing to shield you from the realities of AI coding costs, your runway just evaporated. We've been tracking a nasty trend in the wild: the "27x billing trap." When an AI coding assistant gets stuck in a recursive loop—hallucinating a fix, failing the test, and trying again—it burns tokens at ma
[05] When to Pull the Trigger on FIRE — Monte Carlo Says You're Already Free This is Part 5 of a 6-part series: Building Investment Systems with Python "You need 25x your annual expenses." That's the standard FIRE rule. For ¥9.6M annual expenses, that's ¥240M. Most people see that number and think: "I'll never get there." But the 25x rule assumes a fixed 4% withdrawal rate, zero income, zero ada
[04] The 90/10 Portfolio — Dividend Core + Growth Satellite with a Live Simulator This is Part 4 of a 6-part series: Building Investment Systems with Python In the manifesto, I described a 90/10 portfolio philosophy: 90% in dividend-growing core positions, 10% in a deep-value satellite aiming for 3-5x. Today we build both sides — the dividend snowball model for the core, and a live interactive s