Agentic AI
Complete guide to building AI agents — architecture, tool use, memory, planning patterns, multi-agent systems, frameworks, evaluation, and production best practices.
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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.
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.
Modern JavaScript — ES6+, arrays, objects, promises, destructuring, and common patterns.
kubectl commands, Pod/Deployment/Service manifests, config management, and cluster operations.
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.
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.
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.
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.
Type annotations, interfaces, generics, utility types, and advanced TypeScript patterns.
Vue 3 Composition API, reactivity, components, directives, and Pinia state management.
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