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Notion. I adopted the Second Brain template https://thomasjfrank.com/brain/ and never looked back. Source: over 1 year ago
Notion doesn't have any structure out of the box. Think of it as an empty database with no tables or schema. It's up to you to either import templates or design a system that works for your needs. In the world of notion, orgmode would be called a "Second brain" system. One where you can dump tasks, notes, etc.. And it keeps track of it for you. A lot of people have recommending this brain system:... Source: about 2 years ago
Feel free to DM, but I've probably not customized my system very much compared to a lot of other people. So it'd be a simpler setup as far as how I'm using it 🙂 A lot of my setup I've done based on Thomas Frank's Ultimate Brain template. And if you haven't seen it before, he has a ton of really good Notion information on his second YouTube Channel Thomas Frank Explains as well as his main website. It's probably... Source: about 2 years ago
The template? Like $80. I think it's worth it though, especially because it comes with a ton of supplemental material explaining how to use essentially every part of it, and it's still regularly being updated. Source: about 2 years ago
I’ve been sitting on getting Thomas Frank’s Ultimate Brain for Notion template because I’m wanting to have a “Second Brain”/resource to archive a lot of stuff I’m getting email newsletters for, using the PARA method to reduce digital clutter, and to streamline my tasks I need to do for personal projects (I use Sunsama a little for that already, but mostly for work on another laptop I have). It’s $80 and I’d need... Source: about 2 years ago
In this tutorial, you will walk through the process of building, testing, and deploying a multi-agent AI system using LangGraph, Docker, AWS Lambda, and CircleCI. You will develop a research-driven AI workflow where different agents,such as fact-checking, summarization, and search agents, work together seamlessly. You will package this application into a Docker container, deploy it to AWS Lambda, and automate the... - Source: dev.to / 19 days ago
Tools like Jenkins, GitLab CI/CD, and CircleCI offer capabilities for parallel testing and test caching, allowing multiple tests to run simultaneously. This approach significantly reduces overall testing time and prevents unnecessary delays in deployment. Industry leaders such as Netflix and Amazon employ these practices to minimize outages and maintain high service quality. - Source: dev.to / 3 months ago
CircleCI is a leading cloud-based platform for CI/CD that automates the software development process, enabling teams to build, test, and deploy applications with efficiency and precision. By integrating seamlessly with popular version control systems like GitHub, GitLab and Bitbucket, CircleCI enhances collaboration and accelerates development cycles. - Source: dev.to / 3 months ago
GitHub and CircleCI Accounts: You will need a GitHub account to host your project’s repository and a CircleCI account to automate testing and deployment through CI/CD. - Source: dev.to / 3 months ago
CircleCI is a CI/CD platform that automates the process of building, testing, and deploying software. It helps developers integrate code changes more frequently and efficiently, ensuring that software development teams can detect and fix errors quickly. - Source: dev.to / 3 months ago
Second Brain - Capture & organize everything in Notion.
Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
Notion Second Brain - Streamline your productivity with this Second Brain template for Notion. Manage tasks, boost focus, save and organize unlimited knowledge.
Codeship - Codeship is a fast and secure hosted Continuous Delivery platform that scales with your needs.
Notion - All-in-one workspace. One tool for your whole team. Write, plan, and get organized.
Travis CI - Simple, flexible, trustworthy CI/CD tools. Join hundreds of thousands who define tests and deployments in minutes, then scale up simply with parallel or multi-environment builds using Travis CI’s precision syntax—all with the developer in mind.