Vibe coding is a good starting point, but it is not where serious AI-assisted development ends. The next step is agentic engineering: using AI coding agents inside a controlled engineering workflow, with context, tests, review and clear boundaries. Vibe coding often focuses on the generated output: Ask for feature -> get code -> run it -> ask for fixes Agentic engineering focuses on the system ar
Last Tuesday I lost about three hours to a regression in our checkout service. The cart total was off by a cent on certain promo combinations, and the only signal was a Slack ping from finance with a screenshot. No stack trace. No exception. Just wrong numbers. I did what I always do first. I opened the diff for the last deploy, scrolled, squinted, and tried to feel my way to the bug. Forty minute
I Built a VS Code Extension to Bring IntelliJ’s “Show History for Selection” Experience If you come from IntelliJ, you probably miss one super useful feature in VS Code: Show history for selected lines. I built a new extension to solve exactly that. Show History for Selected Code This extension helps you inspect Git history for a specific code selection, not just the whole file. Shows commit h
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
This post was created with AI assistance and reviewed for accuracy before publishing. Cursor can use project rules and documentation to steer behavior. Exact file names and mechanisms evolve; check Cursor documentation for the current layout (for example rules in .cursor or legacy .cursorrules patterns). Short, enforceable bullets beat long essays: stack versions, test commands, “no new dependenci
Vibe coding is one of those terms that sounds unserious until you notice how many people are actually doing it. The basic idea is simple: describe what you want, let an AI coding tool generate the implementation, run it, adjust the prompt, and keep going. It can feel magical. It can also go wrong very quickly. Vibe coding works best when the problem is visible and forgiving: small prototypes inter
I have a bad habit of jumping between projects. It's not a big deal. But it happens every single day. So I built rewind. rewind That's it. No setup, no IDE, no agent loop burning through tokens. Just one binary, one command, one LLM call. cargo install git-rewind GitHub: https://github.com/Chronos778/git-rewind Would love feedback — on the idea, the UX, anything. Still early days.
If you use GitHub's merge queue and had a rough week around April 23rd, 2026, you were not imagining things. Your code actually disappeared. Not because of a bad commit, not because of a rogue team member, but because GitHub itself quietly deleted it. This is the story of what happened, why it was way worse than the official numbers suggest, and what it means for the way we all trust the tools we