In-Depth Reviews capture what real makers and users think about the tools they rely on. Each review highlights the best and worst features, answers product-specific questions, and includes what the reviewer built using the product.
First off, I'm looking to get a cohort of beta testers for the next development cycle! No cost to use the product, just would be curious about your feedback. If you are in this cohort I would give you 6months free once I actually launch. Feel free to post up below and I can give you more info, or contact me. I added 2FA! Pretty self-explanatory, but adding 2FA for added security.
I added a new accounts view. This is the precursor of the soon to come "account overview".
Gaze into your crystal ball and share what you think is going to happen with AI in 2025! Will this be the year of the vibecoder? Is there an industry that you think will be transformed by AI? Whether you're predicting revolutionary breakthroughs or subtle shifts, drop your predictions in the comments!
As my dashboards grow more complicated they always seem to descend into disorganized chaos with a bunch of different datasets and charts all over the place. What are some good way to fight the chaos and keep things organized when dashboards start getting complicated?
There's a lot of options for models these days. I've been using Claude 3.7 but I'm curious what's been working well for others. What model are you using and why?
Is the thinking version of @Claude by Anthropic worth the extra credit spend? Does @DeepSeek work well enough to save some credits? Is it worth trying any of the @ChatGPT by OpenAI models?
There's a lot of options for models these days. I've been using Claude 3.7 but I'm curious what's been working well for others. What model are you using and why?
Is the thinking version of @Claude by Anthropic worth the extra credit spend? Does @DeepSeek work well enough to save some credits? Is it worth trying any of the @ChatGPT by OpenAI models?
Meow there! Last week was launch week at Bucket, wrapping up a month of shipping features to make feature flagging a fast, joyful experience for SaaS developers.
At this point, all of the AI coding assistants are in the same neighborhood. Decent at "advanced autocomplete", OK at code generation sometimes, and most are somewhere in the process of incorporating code context mechanisms. But what's next? Agentic behavior? Something else? My pet prediction is that we will see the emergence of a new programming language that's designed for use with AI and can be translated to a variety of popular languages. (Or if we're cursed, just javascript )
I've been building a tool (tool) that ingests my bank and credit card statements and builds a dashboard. It's still pretty new, but I've got a small number of users who are giving me some feedback.
I'd love to hear why you think this product is useless, confusing, lame, hard to understand, has a very weird landing page, etc. I'm still trying to figure out which "direction" to take this project and looking to be directed by a good roast.
Memories seem like such a killer feature of @Windsurf to me. I normally find the AI composed code is mostly right but it can often still get small things wrong because it might not know some architectural detail or the coding style I want. But with memories I can now tell windsurf about those things and avoid those mistakes! I can also do it on the fly, making it easy to iteratively adapt Windsurf to my code. What would be even more useful is if I could share these memories with my team somehow. That way all the important memories I've fed Windsurf don't just get siloed to me; instead everyone can benefit from them. @Windsurf have you folks ever considered allowing memories to be shared somehow?
In software engineering, trunk-based development (TBD) is a strategy to manage git workflows that favours merging commits into the `main` branch even before the feature is fully complete, instead of the git flow that favours working on long-lived branches until features are 100% complete. TBD or GitFlow: What's your current developer workflow?
From what I ve seen, it looks like a strong competitor in the AI space, but I d love to hear your thoughts. How does it compare to GPT, Claude, or Mistral? Any standout features or limitations?
