Agentic AI
Complete guide to building AI agents — architecture, tool use, memory, planning patterns, multi-agent systems, frameworks, evaluation, and production best practices.
42 sheets found
Complete guide to building AI agents — architecture, tool use, memory, planning patterns, multi-agent systems, frameworks, evaluation, and production best practices.
AI workflow cheat sheet for building software with AI — planning, incremental development, testing strategies, and codebase management tips.
Promises, async/await, error handling, parallel execution, and common async patterns.
Bash scripting — variables, conditionals, loops, functions, pipes, and common scripting patterns.
Runtime commands, package management, bundling, testing, and performance optimization.
Flexbox, Grid, animations, custom properties, selectors, and responsive design patterns.
Container management, Dockerfile syntax, docker-compose, networking, and volume management.
FastAPI routes, request models, dependency injection, authentication, and async patterns.
Google Cloud Platform essentials: Compute Engine, GKE, Cloud Run, Cloud Storage, IAM, and core CLI commands.
Practical Generative AI playbook for building reliable LLM features: prompting, context design, RAG, evaluation, safety, and production operations.
Essential Git commands for version control, branching, merging, and collaboration workflows.
Go syntax, goroutines, channels, error handling, interfaces, and standard library patterns.
Semantic elements, forms, accessibility attributes, meta tags, and modern HTML5 features.
Modern JavaScript — ES6+, arrays, objects, promises, destructuring, and common patterns.
Practical guide to building, operating, and scaling real-world Apache Kafka event streaming systems.
kubectl commands, Pod/Deployment/Service manifests, config management, and cluster operations.
LangChain chains, prompts, memory, RAG pipelines, agents, and tool use patterns.
LangGraph stateful agents, graph nodes, edges, checkpointing, and multi-agent workflows.
Essential Linux commands for file management, permissions, processes, networking, and system administration.
Solution architect guide to load balancing and Nginx implementation logic: traffic strategy, HA design, failover, and production trade-offs.
Markdown syntax for headings, lists, links, images, tables, code blocks, and GitHub Flavored Markdown.
MongoDB CRUD, aggregation pipeline, indexes, schema design patterns, and Atlas search.
Next.js App Router, server components, data fetching, routing, metadata, and deployment patterns.
Node.js modules, file system, HTTP servers, streams, events, and npm ecosystem essentials.
A practical cheat sheet for loading, cleaning, transforming, analyzing, and exporting tabular data with Pandas, plus how it fits with PyTorch workflows.
PostgreSQL cheat sheet: psql CLI, users & roles, backup & restore, VACUUM, locks, JSONB, CTEs, and indexes.
Python syntax, data structures, comprehensions, OOP, error handling, and standard library essentials.
Poetry is Python's all-in-one dependency management and packaging tool — declare dependencies, manage virtual envs, and publish packages from a single pyproject.toml.
Essential PyTorch patterns for tensor ops, autograd, model building, training loops, and deployment.
React hooks, component patterns, state management, performance optimisation, and best practices.
Redis data types, caching patterns, pub/sub, streams, and common use cases.
Regular expression syntax, character classes, groups, lookaheads, and common patterns.
SQL queries, joins, aggregations, subqueries, window functions, and database design patterns.
Tailwind utility classes for layout, spacing, typography, flexbox, grid, and responsive design.
This cheat sheet covers practical Terraform usage for managing infrastructure as code.
Type annotations, interfaces, generics, utility types, and advanced TypeScript patterns.
Vue 3 Composition API, reactivity, components, directives, and Pinia state management.
YAML syntax, data types, anchors, multi-line strings, and common config file patterns.
Schema declaration, validation, type inference, transformations, and error handling.
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