What's the most significant challenge you've faced when implementing AI in your app, and how did you overcome it, I'm currently struggling to optimise AI performance on Android, any tips?
What's the biggest challenge in app dev right now, do you think it's keeping up with iOS and Android updates or integrating AI effectively, I've found that optimising for performance is key, what's your experience?
PSA Claude Code is having a day today. It literally can't comprehend basic instructions and is going off on wild tangents. BE CAREFUL! I think he went on a little holiday.
What's driving the latest AI trends in app dev, do you think it's the advancements in machine learning or improved iOS and Android integration, or is it something else entirely, what are your thoughts on this?
What's the most impactful coding skill you've learned recently, it's probably not what you think. I've found that optimising for performance is key, don't just focus on getting it to work, think about how it will scale, what's your approach?
What's the most overhyped tech trend right now? I think it's AI-powered chatbots. Don't get me wrong, they're useful, but it's not a silver bullet. What's your take, are chatbots a game changer or just a fad?
What's the biggest challenge in building AI-enhanced apps, is it data quality or algo complexity? I've found it's often the former, what's your experience?
What's the most significant challenge you've faced when implementing machine learning in your app, and how did you overcome it, I've found that optimising for performance is key, what's your experience?
What's the biggest challenge in building AI-enhanced apps, is it data quality or model complexity? I've found that it's often the former, what's your experience, do you prioritise data prep over model tuning?
What's the biggest mistake devs make when building AI-powered apps? I've seen it time and again, they prioritise complexity over simplicity, what's your experience, do you think simple code is always better?
What's the biggest challenge in building AI-enhanced apps, do you think it's data quality or model complexity? I've found that optimising for performance is key, what's your experience with iOS and Android development, do you prioritise clean code or fast deployment?
A short story with Claude Haiku 4.5. It has to be the smartest, most idiotic LLM model that overuses tools for no reason, even when explicitly asked in the prior message not to.
What's the most significant challenge you've faced when implementing AI in your app, and how did you overcome it, I'm currently working on an AI-enhanced app and I'd love to hear your experiences.
What's the biggest challenge in building AI-enhanced apps, is it data quality or algorithm complexity? I've found it's often the former, what's your experience, do you prioritise data prep over model selection?
Another update to help Codex rate limits go further: Sometimes, cache misses on our end would cause Codex tasks consume rate limits faster than expected compared to other similar tasks.
We've been working on it and usage should be much more stable now!
What's behind Apple's move to use Google's tech to revamp Siri? Is this a sign they're struggling to keep up with AI advancements? What do you think, will this makeover make Siri a real contender in the voice assistant space?