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Based on our record, FastAPI seems to be a lot more popular than CodeRabbit. While we know about 288 links to FastAPI, we've tracked only 12 mentions of CodeRabbit. 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.
Step 4: To integrate CodeRabbit into your workflow, visit coderabbit.ai and click the Get a free trial button. - Source: dev.to / about 2 months ago
Unlike traditional approaches that overlook the criticality of testing configuration files, CodeRabbit helps review CI/CD pipelines by automating code/config reviews, catching critical errors, and enhancing overall code quality. It significantly reduces manual review time, allowing DevOps teams to focus on strategic tasks and accelerate deployment cycles. - Source: dev.to / 7 months ago
3. Coderabbit - Code Generation and Error Detection for Teams. - Source: dev.to / 8 months ago
How CodeRabbit AI code reviews streamline development. - Source: dev.to / about 1 year ago
CodeRabbit is the best AI code review tool for GitHub and GitLab. Sign up and get a free trial for your team or organization. - Source: dev.to / about 1 year ago
The backend of this accountability AI application is built using FastAPI, a high-performance framework for Python. The app allows users to communicate with the AI, which helps them stay accountable by generating responses based on their input. Below is a breakdown of the key components used in the code:. - Source: dev.to / 7 days ago
Until I realized Anki has their own API Interface, which made me realize that I can automate this task, efficiently, while also getting hand on experience using FastAPI and LLMs (but am I going to change the stack later?.. Lets see). - Source: dev.to / 4 days ago
By the end of this tutorial, you’ll see how I used FastAPI and Jinja2 to turn raw JSON into a dynamic timeline of weather and history that feels informative and fun. - Source: dev.to / 19 days ago
The only thing left to do then was to build something that could showcase the power of code ingestion within a vector database, and it immediately clicked in my mind: "Why don't I ingest my entire codebase of solved Go exercises from Exercism?" That's how I created Code-RAGent, your friendly coding assistant based on your personal codebases and grounded in web search. It is built on top of GPT-4.1, powered by... - Source: dev.to / 20 days ago
FastAPI and Uvicorn are two essential building blocks when developing high-performance Python APIs. - Source: dev.to / 21 days ago
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