Date: 11/21/2025
Okay, this Rize 2.3.4 update is exactly the kind of thing I’ve been diving into lately! Essentially, it’s a time-tracking tool leveraging AI, and this update is all about making that AI smarter and more customizable. They’ve upgraded to GPT-5, squashed some annoying bugs, and, crucially, given you a ton of control over how the AI generates time entry suggestions. We’re talking custom instructions, language tweaks, and the ability to prioritize certain projects.
Why is this cool for us developers exploring AI workflows? Well, think about it: automating time tracking is a HUGE pain point. I mean, who actually enjoys meticulously logging every minute? By giving us control over the AI that’s doing this, Rize lets us tailor it to our specific coding habits, project structures, and even the way we phrase our tasks. The “Custom AI Instructions” feature is particularly exciting – imagine teaching the AI to recognize specific code patterns or naming conventions and automatically tag time entries accordingly! This moves beyond generic AI and into something truly personalized and efficient.
I see huge potential in combining Rize with other AI-powered tools I use. For example, I could feed Rize data generated by my code analysis tools to get even more granular time tracking. The ability to adjust time entry durations and disable unwanted suggestions is a game-changer. It’s not about blindly trusting the AI; it’s about collaborating with it to create a workflow that actually works for me. I am definitely going to experiment with integrating this into my workflow, especially with LLM’s getting better all the time. It could free up a lot of mental space for the real problem solving!