kklemon

I came close to burning out around two years ago. It wasn't even the workload so much as the uncertainty of being able to solve hard problems and feature requests on time. I was in a constant state of stress and fear, thinking about those problems in the evening, at night, and in the morning.

With AI—or coding agents, to be more specific—I'm perhaps working even more than before, yet I feel considerably more relaxed. It feels like the variance in task difficulty and uncertainty has flattened out. If I had a difficult network-related issue before, it might have taken me hours of research and debugging before even being able to tell what was even going on and how long it would take to fix. Now I can just spawn an agent with the right keywords, in the right environment, and with the right permissions, and get feedback within minutes while focusing on other stuff in the meantime.

While I was pessimistic about where software development was heading just a year ago, I now feel more optimistic and happy about how things are going. My only concern, however, is whether it will reduce the demand for software engineers in the long run.

I created VibeGit after spending too many nights untangling my not-so-clean version control habits. We've all been there: you code for hours, solve multiple problems, and suddenly, you're staring at 30+ changed files with no clear commit strategy.

Instead of the painful git add -p dance or just giving up and doing a massive git commit -a -m "stuff", I wanted something smarter. VibeGit uses AI to analyze your working directory, understand the semantic relationships between your changes (up to hunk-level granularity), and automatically group them into logical, atomic commits.

Just run "vibegit commit" and it: - Examines your code changes and what they actually do - Groups related changes across different files - Generates meaningful commit messages that match your repo's style - Lets you choose how much control you want (from fully automated to interactive review)

It works with Gemini, GPT-4o, and other LLMs. Gemini 2.5 Flash is used by default because it offers the best speed/cost/quality balance.

I built this tool mostly for myself, but I'd love to hear what other developers think. Python 3.11+ required, MIT licensed.

That looks indeed pretty interesting. But I still feel that it's not very convenient for usage in a desktop environment with local files. This is of course not to blame on the project itself, since I assume that it simply targets different use-cases and audiences.

I also researched in the meantime whether such a functionality could be implemented at all for the Gnome Shell and, more specifically, for its file browser. But the search and extension APIs would not even allow it or require many hacks.

Vimium. Vim-like shortcuts for the browser. I can't name any other tool or extension that gives me anywhere near the productivity boost of Vimium. I spend probably half of my work day plus a few hours a day in my spare time in the browser, and it makes navigating the browser feel like butter. When I'm tired and don't want to be glued to my desk, I can relax and surf with one hand which just feels incredible. I quickly got so used to it that I instinctively try to use Vimium shortcuts when I'm on other computes and feel withdrawal symptoms if I realize that it isn't installed.

Am I the only one still using Docker Compose?