For more information, visit Flatlogic’s Website or contact our support team. - Source: dev.to / 24 days ago

This update significantly enhances the aesthetic and functional appeal of the site and uses artificial intelligence to generate inspiring and contextually relevant descriptions that improve the overall user experience in business software. - Source: dev.to / 28 days ago

Flatlogic’s latest updates include our new features the latest updates to our platform and our new articles in our blog about the best AI tools for specific business software development. - Source: dev.to / 28 days ago

Designed to present data in a visually appealing way, Card View organizes information into individual cards. Each card serves as a container for a single piece of data, presenting it in a more detailed and visually appealing way than a simple list. This view is particularly effective in scenarios where the data benefits from a richer context, or where individual records contain multiple attributes that are best... - Source: dev.to / 28 days ago

Flatlogic - Flatlogic is an AI app builder (don’t be alarmed, all hope is not lost) that claims to help you build enterprise apps in 3 steps. They currently do about $1 million in revenue. Source: 7 months ago

In this blog post, I’ll be comparing 3 distinct AI-first code search tools I recently came across: Cody (developed by late-stage startup, Sourcegraph), SeaGOAT (an open-source project that was trending on HN last week), and Bloop (an early-stage YC startup). I’ll be evaluating them along the dimensions of user-friendliness as well as their accuracy. - Source: dev.to / 9 months ago

If you're confused about any of the code snippets above, you can check out bloop.ai and phind.com (along with its VSCode extension) to answer any of your questions about the repository, noting that both have free plans. - Source: dev.to / 9 months ago

Bro let me turn your life inside out: https://bloop.ai. Source: 12 months ago

GPT4: Ok, here you go - https://bloop.ai/. Source: about 1 year ago

We've invested a lot into helping LLMs reason and explain large codebases. We use a hybrid approach of local models for semantic search and a mix of OpenAI and Anthropic's models for language output and summarisation. We're two years in but everything still feels super early given how quickly the fundamentals are improving. Would love your feedback - https://bloop.ai. - Source: Hacker News / over 1 year ago