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GitHub Codespaces

2026-01-07T19:21:03+00:00

GitHub Codespaces Cheat Sheet GitHub Codespaces is a fully managed, cloud-hosted development environment that lets developers work directly from a GitHub repository using a containerized setup. A codespace is: A Docker container running on a dedicated virtual machine. Preconfigured with source code, runtime, libraries, tools, and editor settings Accessible through: Browser-based VS Code Local VS Code connected remotely Each codespace is isolated, secure, and linked to a specific repository, branch, or commit. High-Level Architecture Components Component Description Repository Source of truth containing code and configuration devcontainer.json Defines environment, tools, extensions, and settings Docker Image / Container Runtime environment for development [...]

GitHub Codespaces2026-01-07T19:21:03+00:00

Amazon Bedrock Runtime

2026-01-07T13:42:57+00:00

Bookmarks Amazon Bedrock Runtime Actions Key Data Types Inference Concepts Security Pricing Amazon Bedrock Runtime Cheat Sheet Amazon Bedrock Runtime is a high-performance, serverless API that enables developers to make inference requests to Foundation Models (FMs) available in Amazon Bedrock. It serves as the primary runtime interface for building generative AI applications, supporting use cases including text generation, multi-turn conversations, real-time streaming, image generation, embeddings, and more. The API is optimized for low latency and high throughput and provides unified access across multiple model providers.   Amazon Bedrock [...]

Amazon Bedrock Runtime2026-01-07T13:42:57+00:00

GitHub Sponsors

2026-01-06T19:19:46+00:00

GitHub Sponsors Cheat Sheet GitHub Sponsors is a GitHub-native platform that allows individuals and organizations to financially support open-source contributors directly on GitHub through recurring or one-time payments. It is a built-in GitHub sponsorship program for funding open-source developers and organizations. It enables the developer community to directly support project maintainers. It supports both recurring subscriptions and one-time financial contributions. It helps sustain open-source projects through community and corporate sponsorships. It provides a monetization and support mechanism for the ongoing development and maintenance of open-source software. Who Can Use GitHub Sponsors? Sponsors Individuals Organizations Can sponsor: Open-source contributors on GitHub [...]

GitHub Sponsors2026-01-06T19:19:46+00:00

GitHub Pull Requests

2026-01-07T17:12:47+00:00

GitHub Pull Requests Cheat Sheet Pull requests are a structured way to propose and manage code changes within a project. As GitHub’s primary collaboration feature, it provides a dedicated space for reviewing modifications, holding discussions, and requesting improvements before integration. By introducing review checkpoints and shared visibility, pull requests help teams collaborate efficiently, detect problems early, and uphold long-term code quality and project stability. Branches When a repository is created on GitHub with initial content, it is initialized with a single branch. This first branch is known as the default branch. The default branch is the branch displayed when someone [...]

GitHub Pull Requests2026-01-07T17:12:47+00:00

GitHub Issues

2026-01-06T11:12:49+00:00

GitHub Issues Cheat Sheet Issues enable teams to plan, discuss, and track work within a repository. They are quick to create, flexible, and can be used to manage bug reports, feature requests, ideas, and other tasks. When combined with projects, issues help organize work, manage priorities, and track progress across a team. Work can be further structured by using sub-issues, making it easier to view and manage the full hierarchy of tasks.   Issues can be created in multiple ways to suit different workflows, including directly from a repository, alongside sub-issues, from comments on issues or pull requests, from specific [...]

GitHub Issues2026-01-06T11:12:49+00:00

A Beginner’s Guide to the Machine Learning Pipeline on GCP

2026-01-08T13:02:44+00:00

When people hear the term "machine learning," they often imagine complex math, advanced algorithms, or mysterious "AI magic" happening behind the scenes. In reality, machine learning on the cloud is far more practical and structured than it may sound. At its core, an ML pipeline is a series of steps that transform raw data into useful predictions. Think of it like a typical software workflow: You prepare your code You build the application You deploy it Users interact with it An ML pipeline follows the same idea, just with different building blocks. Instead of starting with source code, you begin [...]

A Beginner’s Guide to the Machine Learning Pipeline on GCP2026-01-08T13:02:44+00:00

GitHub Discussions

2026-01-06T11:11:07+00:00

GitHub Discussions Cheat Sheet A forum-like space within a GitHub repository or organization for collaborative communication. It is designed for open-ended conversations, questions, ideas, planning, updates, and community interaction, distinct from issues (which are for actionable work). Answering questions Sharing ideas or proposals Announcing news or releases Brainstorming and community feedback Creating a community knowledge base GitHub Discussions Categories Discussions must be grouped into categories that define their purpose and format. Category Purpose Format Announcements Latest updates and announcements from project maintainers. Announcement General Everything relevant to the project. Open-ended discussion Ideas Suggestions for project improvements. Open-ended discussion Polls Polls [...]

GitHub Discussions2026-01-06T11:11:07+00:00

Amazon Bedrock Prompt Management

2025-12-30T14:14:17+00:00

Bookmarks Core Concepts Supported Regions and Models Prerequisites Creating a Prompt Viewing Prompt Information Modifying a Prompt Testing a Prompt Optimizing a Prompt Deployment using Versions Deleting a Prompt Security Best Practices Pricing Amazon Bedrock Prompt Management Cheat Sheet Amazon Bedrock Prompt Management is a centralized prompt management system for generative AI, enabling easy creation, testing, versioning, and deployment of structured prompts while separating prompt engineering from application code. It offers key [...]

Amazon Bedrock Prompt Management2025-12-30T14:14:17+00:00

Amazon Titan

2025-12-30T14:40:34+00:00

Bookmarks Features Use Cases Amazon Titan Text Models Amazon Titan Text Embeddings Models Amazon Titan Multimodal Embeddings G1 Model Amazon Titan Image Generator G1 Models Pricing Amazon Titan Cheat Sheet Amazon Titan models are a family of powerful, general-purpose models pre-trained by AWS on massive datasets. They are designed to be used out of the box or fine-tuned with your own data, allowing you to adapt them for specific tasks without the need to annotate large volumes of training data. The Titan family consists [...]

Amazon Titan2025-12-30T14:40:34+00:00

AWS Strands Agents

2025-12-30T14:06:23+00:00

Bookmarks Key Features Use Cases Implementation Approach for Strands Agents Real World Examples of Strands Agents Agents Tools Model Providers Streaming Multi-Agent Safety and Security Observability and evaluation Strands Agents vs. Strands Agents SOPs Pricing AWS Strands Agents Cheat Sheet AWS Strands Agents is an open-source SDK that enables developers to build, test, and deploy AI agents by simply defining a prompt and a list of tools in code. True to its [...]

AWS Strands Agents2025-12-30T14:06:23+00:00

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