Mixed
In both personal projects and $dayjob tasks, the highest time-saving AI tasks were: - "review this feature branch" (containing hand-written commits)
TuxSH on Hacker News
In the thread “Coding after coders: The end of computer programming as we know it?”, replying to this comment
Helped: Reviewing branches, tracing interactions, reverse engineering binaries, and basic YAML CRUD.
Got in the way: Writing code, which often contains safety issues and vulnerabilities.
I don't have as many years of professional experience as you do, but IMO code pissing is one of the areas LLMs and "agentic tools" shine the least . In both personal projects and $dayjob tasks, the highest time-saving AI tasks were: - "review this feature branch" (containing hand-written commits) - "trace how this repo and repo located at ~/foobar use {stuff} and how they interact with each other, make a Mermaid diagram" …