There are now more and more Harness clients. I hope we can have the best open-source client and the best open-source models, as this would greatly facilitate our work and operations. However, this seems unlikely in the short term.
Claude is a great model for me, but unfortunately, its quota is often insufficient. It seems that many people are now considering Codex as an alternative. If the quota is sufficient, I believe many people will continue to use the Claude Code model.
Neither Claude, nor Codex, nor Claude Code are models.
Claude is a series of models (Claude Sonnet X, Claude Opus X, etc.), Claude Code is their development CLI that uses their models, and Codex is the same as Claude Code but from OpenAI.
Ultimately the quota is linked to neither of those 3 directly, rather to which specific model you invoke.
Codex is not better anymore. It appears they nerfed their quota a few weeks ago. I never used to hit my 5 hr limit, now I always do. Sometimes in like 2 prompts.
Codex was running a 2x usage promotion from around the time when Claude introduced rate limiting during peak hours, until May 31st. The various relevant subreddits were (more) insufferable: just 1000 posts per day to the tune of "Just switched the codex! So much more usage!" only to have that tone flip immediately after the promo ran out.
Thank you for using and providing suggestions. The website's initial purpose was to provide AI advice to older users who have less exposure to artificial intelligence. I will update the content accordingly in the future. Thank you again.
It's a website that solves a real need, great. I tried it out, it's overall good, just the purchase options link for buying doesn't seem quite right; I tried bookshop, betterworldbooks, and amazon, but none of them could directly link to the book search page. But overall, it's interesting and useful. I also made a [book quote finder](https://www.aimoviequotes.com/quote-finder/quote-finder-in-b...) before, I'm a beginner at development but it was quite rough, I still have a lot to learn.
Thanks for trying it, and for the honest feedback on purchase links, you’re right. Right now they link to a search on each store rather than directly to the specific edition page. It’s a known limitation: matching an ISBN to a direct product URL across different stores (each with their own catalog system) is surprisingly hard, but it’s on the roadmap.
Glad the core discovery part was useful though. And cool project with the quote finder; we all start rough!
Meta's AI division cuts feels like a classic case of corporate reshuffling—painful for those affected but strategically predictable. I find it interesting how they're doubling down on superintelligence while trimming other AI teams, which really shows where they're betting their future. That $27B data center deal right before these layoffs makes me wonder about the realignment of resources—are they choosing brute-force computing power over diversified research?
