Topic
Git
Learn Git as a connected topic across chapters, concepts, simulations, and interview reasoning.
10 Concepts7 Articles2h 7m
Overview
Learn Git as a connected topic across chapters, concepts, simulations, and interview reasoning.
How this topic helps
System Design
Ai
Architecture
Deep Learning
Learning Path in this Topic
Series that contain articles from Git. Select a path to filter the article list.
Articles
7 matched articles
Article 1Single Trunk Model Explained: Golden Branches, Feature Toggles, and Continuous Feature DeliveryTLDR: The single trunk model exists to reduce integration pain, shorten feedback loops, and keep one golden branch always releasable. Teams make it work with strong CI, short-lived feature branches, f15 minArticle 2Infrastructure as Code Pattern: GitOps, Reusable Modules, and Policy GuardrailsTLDR: Infrastructure as code is useful because it makes infrastructure changes reviewable, repeatable, and testable. It becomes production-grade only when module boundaries, state locking, GitOps flow15 minArticle 3Deployment Architecture Patterns: Blue-Green, Canary, Shadow Traffic, Feature Flags, and GitOpsTLDR: Release safety is an architecture capability, not just a CI/CD convenience. Blue-green, canary, shadow traffic, feature flags, and GitOps patterns exist to control blast radius, measure regressi13 minArticle 4What are Logits in Machine Learning and Why They MatterTLDR: Logits are the raw, unnormalized scores produced by the final layer of a neural network — before any probability transformation. Softmax converts them to probabilities. Temperature scales them b11 min
Article 5Softmax Function Explained: From Raw Scores to ProbabilitiesTLDR: Softmax converts a vector of raw scores (logits) into a valid probability distribution by exponentiating each value and dividing by the total. Subtracting the max before exponentiating prevents 23 min
Article 6How AI Coding Agents Work: Models, Context, Sessions, and MemoryTLDR: An AI coding agent is an LLM stapled to a tool registry, wrapped in an orchestration loop that painstakingly rebuilds state on every single API call — because the model itself is completely stat34 minPage 1 of 2