Yeah, /goal has been working pretty well for me. I often use it to push stage goals, and Codex handles long-running tasks quite solidly — I’ve run continuous two-day tasks and it still completed them reliably.
Token usage gets high mainly because everything stays in the same session the whole time, so the context keeps expanding. Seems pretty unavoidable for this kind of autonomous work.
@neojohnson113 It’s obvious you’ve kept strong curiosity and hands-on exploration across different fields. As an English tutor for kids, this kind of exploration matters a lot — it shapes not only your own growth, but also how the children around you will see technology and the world.
GLM-5.3 Flash is really solid! Around September I also considered getting a Spark — local LLM setups were getting a lot of attention on X at the time. In the end I passed because my coding workloads are quite heavy and the use case didn’t fully match.
What was your main reason for getting the Spark? Are you using it more for training or for inference? Have you tried running text-to-image or text-to-video on it?
I really like Flutter’s hot reload and the redesigned Impeller rendering pipeline — technically it’s very impressive. But the ecosystem still has a long way to go. After sticking with it for a while, I went back to native development. Smooth, high-quality animations are becoming the mainstream expectation, and native still feels more reliable for that right now.
My suggestion is that PRs are still necessary — rather than deciding whether to open one based on individual responsibilities or comfort zones. PRs help keep the main branch readable and reviewable.
Even though in the AI era people may no longer spend much time deeply understanding the heavy concepts behind branches and diffs, Human in the Loop still matters. Humans remain the final reviewers.
Just got off the waitlist for Claude Duet Research Preview!
Excited to explore Anthropic’s take on proactive AI agents — ones that can work continuously, surface what needs attention, and ask for approval before taking action.
I’ve been building my own multi-agent harness, so I’m especially curious to see how Duet approaches autonomy, long-running tasks, and human oversight.
The future of AI isn’t just about answering questions. It’s about getting things done.
#ClaudeDuet #AIAgents #Anthropic