replit
Lovable
VS Code
bolt.new
Sublime Text
Microsoft Visual Studio
WebStorm
Android Studio
Databricks
Google BigQuery
Jupyter
Looker
Presto DB
Rakam
Informatica
Concurrent
replit
Databrickseasy setup.
Based on our record, replit seems to be a lot more popular than Databricks. While we know about 652 links to replit, we've tracked only 18 mentions of Databricks. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This is one of the strangest side effects of AI-assisted development becoming mainstream. Tools such as Lovable, v0, Bolt, Base44, Google AI Studio, Replit, and Claude can take a plain-language description and turn it into a working interface in minutes. But somewhere between typing your "build me a portfolio website" prompt and watching the interface come to life, a huge number of us end up with something that... - Source: dev.to / 3 days ago
Replit is closer to an AI development environment than a traditional frontend generator. - Source: dev.to / 21 days ago
• Memory leak? Folder hits 5% → SOLIDIFIES → delete clean Code: https://replit.com/@clydetosspon/tripleos [after you make Replit] Neuromorphic chip makers: this matches your spike physics perfectly (0W idle) Full story in comments. AMA! - Source: Hacker News / 5 months ago
Two regions. Six hubs. Six providers. One of them starts lying after request 50. The quorum catches it. Authority never moves. NUVL fronts compute bindings and forward only. Hubs relay and fan out — no authority, no policy. Providers are the only execution authorities. When Provider_B starts flipping reported outcomes, the 2-of-3 quorum audit detects the drift without promoting hubs into decision-makers. The drift... - Source: Hacker News / 6 months ago
Replit is an example of an online code editor, where you can write your code and access the Linux shell at the same time. - Source: dev.to / 7 months ago
Vendors like Confluent, Snowflake, Databricks, and dbt are improving the developer experience with more automation and integrations, but they often operate independently. This fragmentation makes standardizing multi-directional integrations across identity and access management, data governance, security, and cost control even more challenging. Developing a standardized, secure, and scalable solution for... - Source: dev.to / almost 2 years ago
Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: over 3 years ago
Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / about 4 years ago
Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / about 4 years ago
Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / over 4 years ago
Lovable - The world's first AI Fullstack Engineer
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
VS Code - Build and debug modern web and cloud applications, by Microsoft
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
bolt.new - Prompt, run, edit, and deploy full-stack web apps
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.