AI · alternatives · 2026
24 alternatives to Brewdata
Generate SQL models and run dbt projects in VS Code
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Code Snippets AI▲230Generate, refactor & debug with GPT-4. All inside VSCode
2023 · its alternatives →
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https://the-pocket.github.io/Tutorial-Codebase-Knowledge/
2025 · github.com · its alternatives →
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I've been exploring the (not so=) amazing potential of AI in coding and have compiled a list of tools. From AI-powered IDEs to code generators, this resource is my contribution to the community. I'm still on the fence about including txt2sql projects, as their functionality seems too basic to me. And I'm personally maintaining this, so your feedback is wellcome.
2025 · aicode.danvoronov.com · its alternatives →
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QueryCraft▲76Lightspeed query generation for SQL and Pandas
2023 · lifeontrack.co · its alternatives →
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VSCode extension to generate comments for code snippets.
2021 · marketplace.visualstudio.com · its alternatives →
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Track machine learning experiments right in your IDE
2023 · marketplace.visualstudio.com · its alternatives →
- 8AT
A bunch of developers and myself have created RepliByte - an open-source tool to seed a development database from a production database. Features: - Support data backup and restore for PostgreSQL, MySQL and MongoDB - Replace sensitive data with fake data - Works on large database (> 10GB) (read Design) - Database Subsetting: Scale down a production database to a more reasonable size - Start a local database with the prod data in a single command - On-the-fly data (de)compression (Zlib) - On-the-fly data de/encryption (AES-256) - Fully stateless (no server, no daemon) and lightweight…
2022 · its alternatives →
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AI-powered load testing, right inside your IDE
Oct 2025 · marketplace.visualstudio.com · its alternatives →
- 10WH
Hey guys, I'm investing a ton of time on writing unit tests, for both enterprise and personal projects. I came up with the idea to make extension for AI-generated tests and cases within a VS Code. Happy to hear feedback, both positive and negative.
2024 · marketplace.visualstudio.com · its alternatives →
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Hey HN! A few months ago we shared our AI dataset generator as an open source repo, and the response was incredible (https://news.ycombinator.com/item?id=44388093). We got requests from folks who wanted to use it without the hosting overhead, so we created both options: a hosted version (https://www.metabase.com/ai-data-generator for instant use and the source code fully open (https://github.com/metabase/dataset-generator) for anyone who wants to self-host or contribute. Looking forward to seeing how you use it and what you build on top of…
2025 · metabase.com · its alternatives →
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- 13NL
Hi HN- Today, we are releasing the hosted API for our natural language to SQL engine, which allows you to: (1) Explain Your Data: Feed in dictionaries, dbt, schemas, Confluence docs - we'll understand the business context to your data. (2) Train Your AI: Fine-tune an LLM (including GPT-4) specifically for your data, increasing accuracy and lowering latency (3) Trust the Answer: See confidence scores with each AI-generated query, stay in control. (4) Conduct complex SQL queries Problem background - Developers struggle to build NL-to-SQL into products because LLMs do not work out-of-the-box;…
2024 · dataherald.com · its alternatives →
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Hey HN, We are Zain and Ashish, founders of Vanna AI. We recently embarked on an experiment to see if large language models (specifically LLMs) could help in generating SQL queries for real-world datasets. We initially started this project as a web app but realized that it was most useful and had broadest applicability as a Python package since you can then incorporate it into an existing workflow (Jupyter notebook, Slackbot, etc). We've had some good success with customer datasets but we've generally heard a lot of skepticism so we decided to write a paper about the methodology we're using…
2023 · github.com · its alternatives →
- 17VC
Hi HN! We just launched a GitHub integration that scales your Git repos to handle 100 terabytes of files in a single repo. XetData enables data scientists and machine learning engineers to version code, models, and datasets together. Most teams have glued together clunky workflows using S3, DVC, Git, Git LFS, and other tools and make true reproducibility difficult: https://news.ycombinator.com/item?id=37694701 We instead embrace and extend Git so end-users don’t need to learn a new tool and a new set of commands. Our implementation is similar to Git LFS, where we take over the…
2023 · its alternatives →
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Making VSCode Extensions for Engineering Managers and CTOs
2023 · fileforma.com · its alternatives →
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Hi HN, I’m excited to share VSCode.ai, a community-curated database to help developers find the best AI-powered extensions for Visual Studio Code. As a developer, I’ve been blown away by the wave of AI coding tools but frustrated by the chaos of tracking them. Sorting through forks, standalone extensions, and varied payment models was a headache. I started compiling my research in an Obsidian notebook but realized it belonged on GitHub to benefit others. What it is ----------- VSCode.ai is a searchable database listing AI-powered VSCode tools. Each entry includes a description, key features,…
2025 · vscode.ai · its alternatives →
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I'm Anand, co-founder and CTO of Altimate AI. My co-founder Pradnesh and I are open-sourcing Altimate Code. AMA. Why we built this: Pradnesh and I have been building tooling for data engineers for three years: dbt Power User and Datamates vscode extensions with combined 750k+ installs, running against real Fortune 500 data estates. The pattern we kept seeing: general-purpose agents can write SQL, but they have no model of what the SQL does. No lineage. No schema context. No understanding of what's in a dbt manifest. That's not a prompt problem; it's a missing tool layer problem. The numbers…
Mar 2026 · github.com · its alternatives →
- 22WA
Today you can easily adopt AI coding tools because you have git for branching and rolling back if AI writes bad code. We haven't seen this same capability for data and decided to build it ourselves. Nile is a new kind of data lake, purpose built for using with AI. It can act as your data engineer or data analyst creating new tables and rolling back bad changes in seconds. We support real versions for data, schema, and ETL. We'd love your feedback on any part of what we are building - https://getnile.ai/ What do you think?
Jan 2026 · its alternatives →
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Hi HN, I built a free, and completely open source, visual studio code extension, which generates tweets based on commits you select. While I was working on webtilities.com, an idea came to me: wouldn't it be cool that I could market this thing inside my editor. Ah, i'm truly lazy. Well, I spent a week building this thing that I bet no one will need because: * "This wont work. My commit messages are terrible" * "This is stupid, I can just use ChatGPT/Gemini/[Insert Chat Platform] directly" * "This is stupid, I get BILLED for using openai tokens" ... And the list goes on. But, I…
2024 · marketplace.visualstudio.com · its alternatives →
- 24
Synthetic data generation is an essential step in training and evaluating LLMs/Agents/RAG pipelines, but tooling around this is still lacking. We're introducing Curator, an open-source library designed to streamline the data curation process. While there are many libraries to prompt LLMs, the semantics of generating synthetic data is different from prompting. For example, we need to process a large number of prompts (sometimes in millions or more) while accepting some failures, utilize several stages of prompting, incorporate human feedback, and filter out bad data using verifiers…
2025 · github.com · its alternatives →
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