Here are some personal notes I gathered while working with AI tools and agents over the last month. General Findings and Musings Most of the times I think we are too obsessed with the models. I found most of them to be good enough for my use cases, while my workflows are still all taped together. I am using Sonnet 4.5 as my daily driver. I think the devil is in the workflow and context. However, everyone raving about how good Opus 4.5 is makes it worth trying. Agents are very slow. This is a hell for folks with attention deficit. The fact that we argue for the benefits of worktrees with multiple pieces on the go is telling. We discard humans’ cognitive load and context window just because agents have context and speed problem is ironic. When it comes to extraneous tasks, automation, or migrations, it makes sense to have multiple agents working in parallel on irrelevant pieces of work. Yet to experiment with applying parallel agents for high-value product work that requires critical thinking and focus. I see lots of people are too focused on the agents, instead of actually building something with them. I think the learning is in the latter. Commit Messages / PRs Git commit messages provide a lot of context for future implementations. They essentially can be journaled to build context for the agents; therefore, I think there are more reasons to: ...
